Regulatory Device and Associated Method For Treating Depression

Abstract

An improved method of treating depression in a person can be generally said to include applying to a body area of the person a therapeutic stimulation device having a tactile transducer that is positioned proximate the body area, and emitting with the tactile transducer a vibrational output toward the body area. A therapeutic stimulation device and a non-transitory machine-readable storage medium are also disclosed.

Claims

1. A method of treating depression in a person, the method comprising: applying to a body area of the person a therapeutic stimulation device having a tactile transducer that is positioned proximate the body area; selecting a therapeutic stimulation pattern that comprises a first oscillation at a first frequency that is in the range of 20-300 Hz and a second oscillation at a second frequency that differs from the first frequency by 0.01-10 Hz, the first oscillation and the second oscillation together forming a beat output at the modulation frequency; and emitting with the tactile transducer the therapeutic stimulation pattern as a vibrational output toward the body area.

2. The method of claim 1, further comprising causing the tactile transducer to emit as the vibrational output vibrations that correspond to the therapeutic stimulation pattern to affect nervous system activity in the person.

3. The method of claim 2, further comprising employing the emitted vibrations to affect nervous system activity in the person.

4. The method of claim 1, further comprising administering an anti-depressant drug to the person.

5. The method of claim 4, further comprising improving the action of the anti-depressant drug in the person with the emitting of the vibrational output.

6. The method of claim 5, further comprising improving the action of the anti-depressant drug by employing the emitting of the vibrational output to stimulate activity in brain areas predictive of response to depression including the cingulate cortex of the brain.

7. The method of claim 1, wherein the first frequency is in the range of 100-300 Hz, and wherein the second frequency differs from the first frequency by 0.1-10 Hz.

8. A therapeutic stimulation device structured to be applied to a body area of a person proximate a body area to provide stimulation therapy to the person, the therapeutic stimulation device comprising: a processor; a tactile transducer; and a storage, the storage having stored therein one or more routines which, when executed on the processor, cause the therapeutic stimulation device to perform, operations comprising: selecting a therapeutic stimulation pattern that comprises a first oscillation at a first frequency that is in the range of 20-300 Hz and a second oscillation at a second frequency that differs from the first frequency by 0.01-10 Hz, the first oscillation and the second oscillation together forming a beat output at the modulation frequency; and emitting with the tactile transducer the therapeutic stimulation pattern as a vibrational output toward the body area.

9. The therapeutic stimulation device of claim 8, wherein the operations further comprise causing the tactile transducer to emit as the vibrational output vibrations that correspond to the therapeutic stimulation pattern to affect autonomic nervous system activity in the person.

10. The therapeutic stimulation device of claim 9, wherein the operations further comprise employing the emitted vibrations to reduce sympathetic nervous system activity in the person.

11. The therapeutic stimulation device of claim 8, wherein the operations further comprise administering an anti-depressant drug to the person.

12. The therapeutic stimulation device of claim 11, wherein the operations further comprise improving the action of the anti-depressant drug in the person with the emitting of the vibrational output.

13. The therapeutic stimulation device of claim 12, wherein the operations further comprise improving the action of the anti-depressant drug by employing the emitting of the vibrational output to stimulate activity in the anterior cingulate cortex of the brain.

14. A non transitory machine-readable storage medium having stored therein instructions which, when executed on a processor of a therapeutic stimulation device having a tactile transducer that is positioned proximate a body area of a person, cause the therapeutic stimulation device to perform operations comprising: treating the person for depression; selecting a therapeutic stimulation pattern that comprises a first oscillation at a first frequency that is in the range of 20-300 Hz and a second oscillation at a second frequency that differs from the first frequency by 0.01-10 Hz, the first oscillation and the second oscillation together forming a beat output at the modulation frequency; and emitting with the tactile transducer the therapeutic stimulation pattern as a vibrational output toward the body area.

15. The non-transitory machine-readable storage medium of claim 14, wherein the operations further comprise causing the tactile transducer to emit as the vibrational output vibrations that correspond to the therapeutic stimulation pattern to affect autonomic nervous system activity in the person.

16. The non-transitory machine-readable storage medium of claim 15, wherein the operations further comprise employing the emitted vibrations to reduce sympathetic nervous system activity in the person.

17. The non-transitory machine-readable storage medium of claim 14, wherein the operations further comprise administering an anti-depressant drug to the person.

18. The non-transitory machine-readable storage medium of claim 17, wherein the operations further comprise improving the action of the anti-depressant drug in the person with the emitting of the vibrational output.

19. The non-transitory machine-readable storage medium of claim 18, wherein the operations further comprise improving the action of the anti-depressant drug by employing the emitting of the vibrational output to stimulate activity in the anterior cingulate cortex of the brain.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] FIG. 1: Example implemented regulatory device with Vibratory Transducer.

[0020] FIG. 2: Example implemented regulatory device with Electrical Transducer

[0021] FIGS. 3A and 3B: Data showing average valence and arousal ratings associated with multiple types of stimulation in 38 volunteers experiencing chest and wrist stimulation using combined oscillations, indicated as main frequency, modulating frequency.

[0022] FIG. 4: Example of user interface of software for detection of physlological stress for use with any commercial hardware that records skin conductance and pulse plethysmograph, e.g., Arduino or Bitalino, the data from which can be read, e.g., as a serial stream.

[0023] FIG. 5: Example of user interface of software for detection of vocal stress.

[0024] FIG. 6: Data showing clear physiological changes associated with stress onset that can easily be classified by looking at slopes of change.

[0025] FIGS. 7A, 7B, 7C, and 7D: Data showing individual differences in which patterns are most calming and arousing for different individuals, supporting the utility of individual customization.

[0026] FIG. 8 depicts a therapeutic stimulation device in accordance with the disclosed and claimed concept that includes a non-transitory machine-readable storage medium that is in accordance with the disclosed and claimed concept and that is used to treat depression in a person according to a method that is likewise in accordance with the disclosed and claimed concept.

[0027] FIG. 9 is a flowchart that depicts certain aspects of the improved method that in accordance with the disclosed and claimed concept.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0028] In the figures to be discussed, the associated boxes and arrows represent functions of the process according to the present invention, which may be implemented as electrical circuits and associated wires or via wireless protocols such as Bluetooth, which transport vibrational signals. Alternatively, one or more associated arrows may represent communication (e.g., data flow) between software routines, particularly when the present method or apparatus of the present invention is a digital process.

Regulatory Device

[0029] The regulatory device 4 depicted generally in FIG. 1 includes a rechargeable 6000 mAh Li-Ion Battery Pack 8,12V DC, With Charger, a DC10-22V AC 10-16V 25W 4 Ohm Audio Speaker HIFI Digital Amplifier Board 12 w/SD card input, a tactile transducer 16 which, for instance, is a Bass Shaker 8 Ohm which can be extended from the interior via wires from the amplifier board 12, a 3D printed casing 20 with beveled opening for wires from the transducer 16, an SD Card 24 containing pre-loaded stimulation waveforms including: 20, 33, 40, 89, 100, 200 Hz modulated by 0, 0.1, 1, and 4 Hz, Buttons 28 for manually scrolling through pre-loaded waveforms and for providing other inputs to the regulatory device 4, a Bluetooth transceiver 32, an LED 36 showing whether the regulatory device 4 in an ON state, a Switch 40 to turn the regulatory device 4 to the ON state, a Dial 44 to manually modulate waveform intensity, and a processor apparatus 46 having a processor 48 and a storage 52 having stored therein software in the form of a number of routines 56 that generate a number of oscillation signals. As employed herein, the expression a number of and variations thereof shall refer to any non-zero quantity, including a quantity of one. The Bluetooth receiver 32 is most advantageous when the device that generates the oscillation signals is remote from the casing 20, such as a smart phone or other computerized device, which communicates via its own Bluetooth transmitter the oscillation signals to the Bluetooth receive 32. The routines 56 can be in the form of a non-transitory storage medium which, when executed on computerized device, causes the computerized device to perform operations such as the operations noted herein.

[0030] The regulatory software routines 56 emit a combination of sine wave oscillations of different frequencies to result in a beat frequency that is output to the user. The combination of oscillations comprise a main oscillation in the range of about 20-300 Hz and at least one modulation oscillation in the range of about 0.01-10 Hz yielding a beat output that provides to the user a feeling of slow waves of stimulation at a frequency determined to be arousing or calming via the calibration software. Any of multiple base waveform types described as being physiologically active in the literature (the implemented device in FIG. 1 can generate as a main oscillation any of 20, 33, 40, 89, 100, and 200 Hz) and modulatory frequencies also referenced in the literature (the implemented device in FIG. 1 can also generate modulation oscillations of 0.1, 1, and 4 Hz), any of which can be selected via the buttons 28 on the device in FIG. 1 or an external software program that may be executed on, for instance, a smart phone or any other remote computerized device.

[0031] The Bluetooth receiver 32 pairs with whatever device generates the chosen waveforms via external software that runs on a computer or smartphone.

[0032] The battery 8 is rechargeable and is sufficient to power the amplifier 12 and transducer 16, e.g., 6000 mAh Li-Ion battery pack.

[0033] The amplifier 12 boosts the oscillation signals to a level that is useable by the transducer 16. For vibratory stimulation, which is applied as an output to the body of the user, the amplifier 12 converts the oscillation signals to a level that a 20 W 8 ohm tactile transducer can faithfully reproduce. For electrical stimulation, which is applied as an output to the user's skin, the amplifier converts audio signals to pulse-width-modulated versions (250 s pulses separated by 5 s gaps) to prevent skin heating, using standard algorithms, and amplifies them to a physiologically detectable threshold (approx. 2 mAmps) and includes optical isolation and voltage limitation for safety.

[0034] The vibratory tactile transducer 16 is designed to be used over any area of the body, which might respond to oscillations produced by the software. The tactile transducer 16 may also deliver whole-body vibrations by being attached to a chair or bed. By way of description and not limitation, FIG. 1 illustrates one embodiment of one vibratory transducer. The vibratory transducer 16 is to be used on the neck, sternum, wrist or another user-determined position and is described herein as being a device that can be used, for instance, at will by resting a body part (e.g., neck when lying down or wrist when in a chair) on the device or, for instance, by holding, it against the body (e.g., sternum). The tactile transducer 16 is capable of generating low frequency oscillations (to 20 Hz) with sufficient displacement to be not-easily-ignored, and is covered by a sleeve that can be removed and cleaned easily and which provides insulation from the bare metal of the transducer (e.g., fleece).

[0035] Another regulatory device 104 depicted generally in FIG. 2 is similar to the regulatory device 4, except that the regulatory device 104 includes an electrical transducer. The regulatory device 104 includes a 9V alkaline battery 108, amplifier 112, and an electrical transducer 116 which, for instance, is a pair of adhesive electrodes 160 and 164 which can be extended from the interior via wires from the amplifier board 112, a 3D printed casing 120 with beveled opening for wires from the transducer 116, an SD Card 124 containing pre-loaded stimulation waveforms including: 20, 33, 40, 89, 100, 200 Hz modulated by 0, 0.1, 1, and 4 Hz, Buttons 128 for manually scrolling through pre-loaded waveforms and for providing other inputs to the regulatory device 104, a Bluetooth receiver 132, an LED 136 showing whether the regulatory device 104 in an ON state, a Switch 140 to turn the regulatory device 104 to the ON state, a Dial 144 to manually modulate waveform intensity, and a processor, apparatus 146 having a processor 148 and a storage 152 having stored therein software in the form of a number of routines 156 that generate a number of oscillation signals. The electrical transducer regulatory device 104 is illustrated as being a wearable device and is to be worn on the wrist of the user. It consists of two electrodes 160 and 164 that allow the pulse-width modulated signal from the amplifier to pass from one electrode to the other in the form of a voltage between the electrodes 160 and 164 applied to the skin of the user. FIG. 2 illustrates an exemplary embodiment of the electrical transducer regulatory device 104 for communications of oscillations to the skin of the user.

[0036] Initial data supports the use of a vibratory device for regulating stress and its physiological correlates. In an experiment with N=38 individuals of whom 9 were associates and 29 were community participants who were compensated for participation, vibratory stimulation at a main frequency of 100 Hz modulated by a modulation frequency of 0.1 Hz, delivered to the wrist, improved performance reliably (p<0.05) and, to the chest, marginally (p<=0.1) during a stressful (paced auditory serial attention) task above and beyond a no-stimulation condition for those whose performance was at least moderate (above 1-standard deviation below the mean) during the no-stimulation condition. Vibration at this frequency also moderated changes in heart-rate variability (which is a proxy for parasympathetic tone), with statistically significant (p<0.05) increases in heart rate variability delivered to the wrist in the full sample and delivered to the sternum in the compensated sample (p=0.09 in the full sample). Vibration at this frequency delivered to the sternum also decreased self-reported stress in those whose stress was at least moderate (above 1 standard deviation below the mean) compared to the no stimulation condition (p<0.05).

Physiological Detection and Calibration

[0037] The physiological detection suite involves using custom and commercial software and hardware to acquire physiological parameters and analyzing them in real time to detect the onset of individualized signatures of stress, fatigue, or other (e.g., user specified) emotion or arousal states.

[0038] FIG. 4 shows an example of implemented software for detection of physiological profiles associated with an emotion state and generation of reactive stimulation. FIG. 4 depicts a user interface, illustrated based on a screen capture of the software, wherein the user has selected a threshold of three, as is indicated by the THRESHOLD indicator, and which is reflected by the dashed line in the bar graph of FIG. 4. An exemplary stress level pattern is depicted at the top of FIG. 4, and the bar indicator in the bar graph demonstrates that the threshold has not been reached. It is noted that FIG. 4 further depicts the user-selectable option to have either a tactile output in the form of a tactile-vibration/electrical stimulation or an audible output in the form of a chime when the user is determined to be in a stressed state. In the event of such a chime or no output, a user can manually enter an input using the buttons to trigger the outputting of the therapeutic stimulation. Alternatively, the user can select NONE, which is selected in FIG. 4. The event of the detected state of the user in a being stress (or other user selected emotion/arousal) condition with Vibration selected, will automatically result in outputting of the associated calibrated therapeutic stimulation.

[0039] In one implementation, software for detection of physiological states takes in pulse plethysmograph and galvanic skin response (GSR) inputs, sampled at 1000 Hz, from existing hardware (e.g., Bitalino, Arduino) implemented as generic serial streams. The pulse plethysmograph detects a heartbeat signal that is representative of the heartbeat of the user.

[0040] GSR data are preprocessed via spike removal and smoothing (4 second kernel) to yield a smooth running estimate of GSR which is associated with sympathetic nervous system reactivity and stress.

[0041] Plethysmograph data are preprocessed via spike removal and peak detection to yield heartbeats which are converted to an inter-beat interval series. The inter-beat series includes a time duration between each successive beat in the detected heartbeat signal.

[0042] The inter-beat interval sere is subjected to calculation of heart a e (#beats per second).

[0043] The inter-beat interval series for 30 seconds is subjected to continuous Morlet waveform transform to yield a running estimate of power in the high frequency heart rate variability (HF-HRV) band (0.18-0.4 Hz), which is associated with parasympathetic nervous system activity and emotion regulation capability, and which can be referred to as an emotional regulation parameter or value. It is noted that other spectral analysis techniques such as Fourier transformation and the like can be employed without departing from the spirit of the disclosed and claimed concept.

[0044] One aspect of the algorithm for detection of physiological stress includes quantifying change or slope over a period of time, i.e., 100 ms to 30 seconds, in physiological parameters to detect state onset.

[0045] The algorithm for detecting physiological stress is initially seeded for stress detection as reflecting increasing detected current physical parameters such as GSR Of heart rate without a corresponding or subsequent change in HF-HRV, i.e.: estimated-stress=.sub.0+.sub.1GSR.sub.5 seconds+.sub.2Heart Rate.sub.5 seconds.sub.3|HF-HRV.sub.5 seconds| where the coefficients are initially .sub.0=.sub.1=0.5, .sub.2=0.5, .sub.3=1 and GSR, HR, and HF-HRV are normalized based on their mean and variability during an initial resting calibration period of 30-seconds. Other detected current physical parameters could include a number of audio parameters that are representative of vocal stress, and other such parameters.

[0046] Another aspect of the algorithms includes a calibration operation using software that guides the user to experience resting, stressed, fatigued or other user-specified states, and which includes brief exposure to a stress induction known to provoke increases in sympathetic tone and decreases in parasympathetic tone (e.g., paced serial attention task), to yield an individually calibrated profile for these states (e.g., stress profile). For instance, a number of calibration physical parameters of the user such as heart rate signal, GSR signal, and other such parameters, may be detected and stored in, the storage 52. The software that performs the guiding can be executed on the regulatory device or can be deployed on a smart phone or other computerized device remote from the regulatory device.

[0047] Another aspect of the algorithms includes machine learning to derive individualized best-fit profiles for what stress-onset, fatigue onset, or other user-determined states look like for the individual. In the implemented software, as an example, a machine learning algorithm such as a three-layer pattern recognition neural network with 8 input nodes, 4 hidden nodes, and 1 output node is used to estimate how GSR, Heart Rate, HF-HRV, and estimated change in each of these in the previous 5 seconds combine to predict based on the calibration task described in the preceding paragraph. Effectively this algorithm allows a quantized (sigmoid) ridge-regression estimation of parameters for main effects of each of these parameters, and their potential n-way interactions:

[0048] estimated-stress=.sub.0+.sub.1GSR.sub.5 seconds+.sub.2Heart Rate.sub.5 seconds+.sub.3|HF-HRV.sub.5 seconds|+.sub.4GSR.sub.5 seconds+.sub.5Heart Rate.sub.5 seconds+.sub.6HF-HRV.sub.5 seconds+.sub.7GSR.sub.5 seconds*Heart Rate.sub.5 seconds+.sub.8GSR.sub.5 seconds*|HF-HRV.sub.5 seconds| . . . +.sub.NGSR.sub.5 seconds*Heart Rate.sub.5 seconds*|HF-HRV.sub.5 seconds|*GSR.sub.5 seconds* Heart Rate.sub.5 seconds*HF-HRV.sub.5 seconds

[0049] To derive beta weights for the preceding equation, stress values are set to zero during rest and one (1) during the target state, e.g., stress. Thus, estimated-stress represents the extent to which a current state is more like the stress vs the resting state. The same type of analysis can be performed for a fatigue or user-specified period. The various p coefficients that are derived through the use of the pattern recognition neural network form a part of the individually calibrated profile that can be used to detect the onset of a period of stress or fatigue. It is understood that additional elements can be added to the above equation in order to derive additional coefficients for use with calibration physical parameters and current physical parameters that are indicative of vocal stress in the user.

[0050] Another aspect of the algorithms includes real-time comparison of incoming physiological data in the form of current physical parameters of the user to the individualized best-fit profiles to determine when an individual is beginning to look stressed, fatigued, or a critical distance from a user defined state, so as to trigger the delivery of therapeutic stimulation. Stimulation is signaled whenever the stress index is outside 1.5 standard deviations from its mean, which refers to the aforementioned threshold of 3 in FIG. 4. Stimulation is signaled at lower and higher stress levels if the threshold is set lower or higher, respectively, than 3.

[0051] FIG. 6 shows that we can derive a classifier that detects the onset of stress during a stressful serial addition task.

Vocal Detection and Calibration

[0052] FIG. 5 shows an example of implemented software for detection of vocal stress.

[0053] One aspect of the vocal stress detection algorithm is that speech is recorded in 5-second segments. These segments are processed to extract common vocal parameters such as speech rate, pitch, mean frequency, frequency of the first fundamental, variance of the first fundamental, etc. using publicly available code. The speech data from any 5-second segment is not saved after parameters are extracted, and thus no lasting voice recordings are made.

[0054] Another aspect is that a 4-layer pattern-network classifier was trained to recognize the emotion associated with short vocalizations (neutral, calm, happy, sad, fearful, angry, disgusted, surprised) using the RAVDESS speech corpus (http://smartlaboratory.org/ravdess/designfeatures/) preprocessed to be z-scores normalized by the mean of vocalizations and divided by the standard deviation. Outliers were Windsorized to the next good value outside the Tukey Hinges. The network had 15 inputs for vocal parameters, 2 hidden layers with 15 and 10 units respectively, and 8 outputsone per classified emotion and was trained with a standard back-propagation algorithm. Classification was 30-80% accurate for specific valences depending on the valence.

[0055] Another aspect of he algorithm is that extracted speech parameters are normalized by subtracting the mean of a set of six five-second neutral calibration vocalizations and dividing by the standard deviation these vocalizations.

[0056] Another aspect of the vocal stress detection algorithm is that it begins with a calibration consisting of recording 30 seconds of silence in a specific room. The variance of incoming 5-second vocalizations are, at each iteration, compared to the variance of the silence recording. Audio waveforms with variability outside 2 standard deviations (SD) from the silence recording are considered to be vocalizations; otherwise they are considered silence and not categorized.

[0057] Another aspect of the vocal stress detection algorithm is that a second calibration records an individual person, who is the subject of measurement, speaking in a neutral tone for 30 seconds.

[0058] Another aspect of the algorithm is that when more than a user-selected number of the vocal parameters (the user can select from 2-8 parameters) are outside 2 SD from the mean of neutral vocalizations, and when the person is deemed, via classification based on the RAVDESS corpus classifier, to have a negative tone (fear, sadness, disgust), the software provides user-selected stimulation waveforms to the stimulation generator. This is depicted in the user interface capture from the software that is depicted in FIG. 5 wherein the user has selected a threshold of four parameters, as is indicated by the THRESHOLD indicator, and which is reflected by the dashed line in the bar graph of FIG. 5. An exemplary vocal wave pattern is depicted at the top of FIG. 5, and the bar indicator in the bar graph demonstrates that the threshold has not been reached. It is noted that FIG. 5 further depicts the user-selectable option to have either a tactile output in the form of a vibration or an audible output in the form of a chime when the user is determined to be in a stressed state. In the event of such an output, a user can manually enter an input using the buttons to trigger the outputting of the therapeutic stimulation. Alternatively, the user can select NONE, which is selected in FIG. 5. In the Vibration condition, and in the event of the detected state of the user being stress or another user-specified condition, this will automatically result in the outputting of the therapeutic stimulation.

Stimulation Calibration

[0059] The stimulation calibration algorithm performs a customization operation that involves presenting individuals with a plurality of customization stimulations in the form of a range of stimulation parameters and allowing them to rate the emotionality and arousal associated with these types of stimulation. In response to each customization stimulation, the user inputs to the software a number of responses using a single selection on a grid. The number of responses are representative of how the user perceived the customization stimulation on an arousal scale between very calming and very arousing, and are further representative of how the user tolerated the customization stimulation on a valence scale between very negatively and very positively. To best tune stimulation to an individuals' preferences, the software selects stimulation patterns based on these ratings. The pattern which is rated as maximally positive and maximally calming (sort of the squared distance on each axis from neutral) is used as the calming stimulation pattern for that individual in the event of detecting that the individual is experiencing a stress condition. The pattern which is maximally arousing, regardless of its valence, is used as the arousing stimulation pattern for that individual in the event of detecting that the individual is experiencing a fatigue condition.

[0060] FIGS. 7A, 7B, 7C, AND 7D show that there are reliable overall differences in emotion and arousal as a function of oscillation patterns for the vibrating transducer and that there are individual differences in which patterns are most calming and arousing for different individuals. Each data point in such figures is representative of how the user perceived the customization stimulation on an arousal scale between very calming and very arousing, and additionally how the user tolerated the customization stimulation on a valence scale between very negatively and very positively.

State Storage and Use in Restoring Saved States

[0061] Physiological parameters in the form of baseline physical parameters associated with named target emotional states (e.g., stress or positive affect calm) can be stored for later, recall as targets (triggers stimulation that decreases distance to the state when it is determined that a number of current physical parameters are more than a predetermined distance of those of the target emotional state) or alarms (triggers stimulation that increases distance from the state when it is determined that a number of current physical parameters are within a predetermined distance of those of the target emotional state).

[0062] Another aspect of the invention includes software that allows subjective and physiologically based storage of stimulation parameters that optimally yield approach or departure from target or alarm states.

[0063] Another aspect of the present invention includes software that allows users to specify potentially new or idiosyncratic target or alarm emotion states for storage in a library which includes associated physiological profiles and stimulation parameters.

[0064] Another aspect of the present invention is that physiological profiles can be used to gauge distance from normed and idiosyncratically named categories by the cosine of current physiological parameters with those for calibrated states, e.g., yielding a Closeness value C for each parameter, e,g., C.sub.GSR=(GSR.sub.currentGSR.sub.session_mean)*(GSR_.sub.calibration stateGSR_.sub.calibration session mean) and deriving the Closeness to a state as B.sub.GSR*C.sub.GSR+B.sub.HRV*C.sub.HRV+B.sub.Vocal Pitch*C.sub.Vocal Pitch where associated B weights are derived via neural network classifiers as described herein before.

[0065] This algorithm provides distance from target states. Before calibration, a priori rules are used to specify output transduction to optimally restore a state via minimizing distance (e.g., Euclidean) of current data from template vectors as described herein before.

[0066] Another aspect of the present invention includes software that allows users to share emotion state names, associated physiological profiles, and stimulation parameters for approaching or avoiding them.

Practical Applications

[0067] A source for generating physiologically reactive oscillation patterns (e.g., smartphone) wherein the oscillation patterns are frequencies in the range of 20-300 Hz modulated by frequencies from 0.01-10 Hz.

[0068] The source generates oscillations and transmits them via Bluetooth.

[0069] Software is used to calibrate and store what vibration patterns maximally yield specific emotional states, including those specified by a user, such as arousal, or positive-affect calm for a given individual, or that individual's state on a given day, to which they would like to return in the future.

[0070] This software can store what vibration patterns individuals are using and dynamically update its calibration to learn if users choose to use patterns not suggested by the previous calibration.

[0071] A Bluetooth receiver for oscillation patterns generated by the source.

[0072] A switch, software control, or physiological/vocal measurement device to determine when the oscillation patterns are delivered.

[0073] The software computes the magnitude and slope of physiological or vocal measures over a local window (0.5-30 seconds) to determine onsets of emotion state deviations from a neutral state (e.g., stress, fatigue).

[0074] The software compares incoming physiological measurements to an individually calibrated profile to determine likelihood of onset of an emotion state and the appropriate reaction.

[0075] The software has a calibration routine that requires the individual to attain relaxed/neutral, stressed (e.g., via stressful cognitive task), or fatigued states, and record data for profile derivation.

[0076] The software uses machine learning algorithms (e.g., neural networks) to derive individually calibrated emotion state (e.g., stress) indices from the calibration data used as a training set.

[0077] The software stores learned physiological patterns in a library that can be recalled in combination with associated stimulation patterns as described to allow restoration of saved states.

[0078] A battery to power the amplifier,

[0079] An amplifier that raises the received oscillation patterns to a non-ignorable level.

[0080] Transducers that provide one of vibratory and electrical stimulation.

[0081] A sleeve for the vibratory transducer that can be removed and washed.

[0082] The sleeve may allow the device to be attached to the individual, e.g., via a band or other means for securing the device to the body part without disrupting the transducer's functionality.

Treatment of Depression as a Practical Application

[0083] Referring to FIG. 8, the regulatory device 4 is advantageously usable as a therapeutic stimulation device for the treatment of depression. Alternatively, the regulatory device 104 may be employed in the treatment of depression in place of the regulatory device 4. In the treatment of depression, the regulatory device 4 or the regulatory device 104 is in communication with a person 1110 who has been diagnosed with depression. The regulatory device 4 or 104 is configured to provide a vibrational output in the exemplary form of a tactile vibrational stimulation to the person 1110 and is, configured to modulate the autonomic nervous system in order to treat depression in the person 1110.

[0084] In the depicted exemplary embodiment, the regulatory device 4 or 104 includes the processor apparatus 46, which includes the processor 48 and the storage 52, with the storage 52 having stored therein the number of routines 56 which, when executed on the processor 48, cause the regulatory device 4 or 104 to perform operations such as are set forth herein. The routines 56 stored in the storage 52 serve as a non-transitory machine-readable storage medium in accordance with the disclosed and claimed concept.

[0085] The regulatory device 4 or 104 can additionally be said to include an input apparatus 7 that is structured to provide input signals to the processor 48 and an output apparatus 17 that is structured to receive output signals from the processor 48. The input apparatus 7 can be said to include, by way of example, the buttons 28, a receiver component of the Bluetooth transceiver 32, the switch 40, the dial 44, and other input devices that can control regulatory device 4 or 104 or can provide input to the processor 48, such as might include a tough-sensitive overlay of a touchscreen and other input devices without limitation. The output apparatus 17 can include structures such as the tactile transducer 16, the amplifier board 12, the LED 36, a transmitter component of the Bluetooth transceiver 32, and other appropriate output devices.

[0086] In various embodiments, the regulatory device 4 or 104 may be configured to apply the stimulation to one or more areas of the body of the person 110 that might respond to oscillations produced by the system. In various embodiments, a vibratory transducer of the device may be used on neck or sternum of the person or elsewhere on the person.

[0087] Evidence to date suggests that the stimulation 1) increases parasympathetic tone (e.g., high frequency heart rate variability) which is associated with increased capability to regulate emotions, and 2) activates cortical regions including the anterior cingulate cortex which is positively associated with increased response to antidepressant drugs. Associations of cingulate activity with SSRI response are summarized in DeRubeis, R. J., Siegle, G. J., Hollon, S., (2008) Cognitive therapy versus medications for depression: treatment outcomes and neural mechanisms. Nature Neuroscience: Reviews, 9, 788-796, PMID: 18784657. We have observed that the kinds of vibrational stimulation described elsewhere herein are associated with pupil dilation, which is further associated with activity in the anterior cingulate cortex of the brain (e.g., Breeden et al (2017) European Journal of Neuroscience, 45(2), 260-266). Such triggered activity in the anterior cingulate cortex could thus advantageously make a patent who had been resistant to an antidepressant drug less resistant to the drug and thus more able to respond to the antidepressant drug. The concept is intended to advantageously make the antidepressant drug effective in patients for whom antidepressant drugs had previously been ineffective.

[0088] An improved method in accordance with an aspect of the disclosed and claimed concept is depicted generally with a flowchart in FIG. 9. Processing can begin, as at 305, with the applying to a body area of the person 1110 the therapeutic stimulation device 4 or 104 which has the tactile transducer 16 that is positioned proximate the body area. Processing continues, as at 315, with the emitting, with the use of the tactile transducer 16, a vibrational output toward the body area. Such operations are useful in the treatment of depression in the person due to its simulation of the nervous system.

[0089] Additionally, such vibrational output can enhance the efficacy of an antidepressant drug in the person. For instance, the operations can additionally and optionally include, as at 325, administering an antidepressant drug to the person 1110. The operations can additionally optionally include improving, as at 335, the action of the antidepressant drug by employing the emitting of the vibrational output to stimulate activity in the anterior cingulate cortex of the brain of the person 1110. Other variations will be apparent.

[0090] The regulatory device 4 or 104 used in this application may, for example, include that described in International Patent Application No. PCT/US2017/025702 filed on Apr. 3, 2017, the disclosure of which is incorporated by reference as noted above. The features and functions described above, as well as alternatives, may be combined into many other different systems or applications. Various alternatives, modifications, variations or improvements may be made by those skilled in the art, each of which is also intended to be encompassed by the disclosed embodiments.

[0091] As used in this document, the singular forms a, an, and the include plural references unless the context clearly dictates otherwise. Unless defined otherwise, all technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art. As used in this document, the term comprising (or comprises) means including (or includes), but not limited to. When used in this document, the term exemplary is intended to mean by way of example and is not intended to indicate that a particular exemplary item is preferred or required. In this document, when terms such first and second are used to modify a noun, such use is simply intended to distinguish one item from another, and is not intended to require a sequential order unless specifically stated. The term approximately, when used in connection with a numeric value, is intended to include values that are close to, but not exactly, the number. For example, in some embodiments, the term approximately may include values that are within +/10 percent of the value.

[0092] When used in this document, terms such as top and bottom, upper and lower, or front and rear, are not intended to have absolute orientations but are instead intended to describe relative positions of various components with respect to each other. For example, a first component may be an upper component and a second component may be a lower component when a device of which the components are a part is oriented in a first direction. The relative orientations of the components may be reversed, or the components may be on the same plane, if the orientation of the structure that contains the components is changed. The claims are intended to include all orientations of a device containing such components.

[0093] An electronic device or a computing device refers to a device or system that includes a processor and memory. Each device may have its own processor and/or memory, or the processor and/or memory may be shared with other devices as in a virtual machine or container arrangement. The memory will contain or receive programming instructions that, when executed by the processor, cause the electronic device to perform one or more operations according to the programming instructions. Examples of electronic devices include personal computers, servers, mainframes, virtual machines, containers, gaming systems, televisions, digital home assistants and mobile electronic devices such as smartphones, fitness tracking devices, wearable virtual reality devices, Internet-connected wearables such as smart watches and smart eyewear, personal digital assistants, cameras, tablet computers, laptop computers, media players and the like. In a client-server arrangement, the client device and the server are electronic devices, in which the server contains instructions and/or data that the client device accesses via one or more communications links in one or more communications networks. In a virtual machine arrangement, a server may be an electronic device, and each virtual machine or container also may be considered an electronic device. In the discussion below, a client device, server device, virtual machine or container may be referred to simply as a device for brevity.

[0094] The terms processor and processing device refer to a hardware component of an electronic device that is configured to execute programming instructions. Except where specifically stated otherwise, the singular terms processor and processing device are intended to include both single-processing device embodiments and embodiments in which multiple processing devices together or collectively perform a process.

[0095] The terms memory, memory device, data store, data storage facility and the like each refer to a non-transitory device on which computer-readable data, programming instructions or both are stored. Except where specifically stated otherwise, the terms memory, memory device, data store, data storage facility and the like are intended to include single device embodiments, embodiments in which multiple memory devices together or collectively store a set data or instructions, as well as individual sectors within such devices.

[0096] As used herein, the term treat, treating or stimulating refers to enhancing a person's positive outlook or suppressing a person's negative outlook. This may refer to a person's psychological well-being, including but not limited to their emotional, cognitive, and motivational states.

[0097] In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word comprising or including does not exclude the presence of elements or steps other than those listed in a claim. In a device claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The word a or an preceding an element does not exclude the presence of a plurality of such elements. In any device claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The mere fact that certain elements are recited in mutually different dependent claims does not indicate that these elements cannot be used in combination

[0098] Although the invention has been described in detail for the purpose of illustration based on what is currently considered to be the most practical and preferred embodiments, it is to be understood that such detail is solely for that purpose and that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover modifications and equivalent arrangements that are within the spirit arid scope of the appended claims. For example, it is to be understood that the present invention contemplates that, to the extent possible, one or more features of any embodiment can be combined with one or more features of any other embodiment.