Patent classifications
A61B5/4035
Method and System for Estimating Physiological Parameters Utilizing a Deep Neural Network to Build a Calibrated Parameter Model
A method and system are provided for estimating a physiological parameter using a parameter model determined by a deep neural network. An example method includes training a deep neural network with indirect and direct physiological parameters from a user database. The medical parameters include a respiratory rate, oxygen saturation, temperature, blood pressure, and pulse rate. The method includes determining if a new user belongs in a group. If the parameter model estimated physiological parameter using the closest group to the new user and associated calibration, then the method quantizes the parameter inputs to determine which physiological parameter a new user is most sensitive and to determine a new group and calibration coefficients or curves for the new user.
Systems and methods for assessing sympathetic nervous system tone for renal neuromodulation therapy
Systems and methods for assessing sympathetic nervous system (SNS) tone for renal neuromodulation therapy are disclosed herein. A system configured in accordance with embodiments of the present technology can include, for example, a detector attached to or implanted in a patient and a receiver communicatively coupled to the detector. The detector can measure cardiac data and the receiver and/or a device communicatively coupled thereto can analyze the cardiac data to provide one or more SNS tone indicators. The SNS tone indicators can be used to determine whether a patient will be responsive to a neuromodulation therapy and/or whether a neuromodulation therapy was effective.
METHOD AND APPARATUS OF ASSESSING OR MONITORING SKIN SYMPATHETIC NERVE ACTIVITY IN A LIVING SUBJECT
A method of assessing or monitoring the normal skin sympathetic nerve activity in a living subject, the subject having a skin, comprises assessing or measuring electrodermal activity, wherein the electrodermal activity is skin conductance, galvanic skin response, electrodermal response, psychogalvanic reflex, skin conductance response, sympathetic skin response or skin conductance level. Skin conductance may be assessed by calculating skin conductance fluctuation peaks per time unit, and when the skin conductance fluctuations peaks are above a certain predefined value, the normal skin sympathetic nerve activity is defined in an analyzing window with a length of about 15 to 60 seconds, the normal skin sympathetic nerve activity is assessed as being obtained or successful. Alternatively, the skin conductance may be assessed by calculating rise time of the mean skin conductance level, the area under the skin conductance fluctuations or the size of the amplitude of the skin conductance fluctuation.
SYMPATHETIC NERVOUS SYSTEM RESPONSE TO STIMULATION OF CAROTID BODIES FOR PATIENT STRATIFICATION IN RENAL DENERVATION
A system includes a processor circuit in communication with an anatomical measurement device. The anatomical measurement device receives a metric associated with a sympathetic response of a patient. The sympathetic nervous system of the patient is then stimulated. The anatomical measurement device then receives another metric associated with a sympathetic response of the patient while the sympathetic nervous system is stimulated. The processor circuit then provides an output based on the comparison.
LIVING BODY INFORMATION MEASUREMENT APPARATUS AND LIVING BODY INFORMATION MEASURING METHOD
The present technology provides a living body information measurement apparatus and a living body information measuring method that make it possible to discriminate a state of a living body with high accuracy. The present technology provides a living body information measurement apparatus including: a sensor device that applies light to a living body and individually detects light scattered by a plurality of parts in the living body; and a processor that discriminates a state of the living body on the basis of outputs of the sensor device for the respective parts. According to the present technology, it is possible to provide a living body information measurement apparatus and a living body information measuring method that make it possible to discriminate the state of the living body with high accuracy.
CHARACTERIZATION OF THE NASAL CYCLE
Apparatus is provided that includes left-nostril, right-nostril, and oral pressure sensors and oral pressure probes. A memory is configured to store left-nostril, right-nostril, and oral pressures sensed by the respective sensors, over a total period of at least 12 hours. A processor is configured to convert the left-nostril, right-nostril, and oral pressures stored in the memory to left-nostril, right-nostril, and oral pressure airflows, respectively, and calculate a series of orally-weighted laterality-indices over a respective series of sub-periods of the total period. Each of the orally-weighted laterality-indices of each of the sub-periods is indicative of a laterality index over the sub-period weighted by a normalized oral airflow over the sub-period, such that the greater the normalized oral airflow, the smaller the orally-weighted laterality-index. Each of the orally-weighted laterality-indices of each of the sub-periods reflects relative airflow through the left and the right nostrils over the sub-period. Other embodiments are also described.
METHOD FOR OBTAINING NEAR-INFRARED SPECTROSCOPY CEREBRAL SIGNAL
A method for obtaining a near-infrared spectroscopy (fNIRS) cerebral signal in a subject includes: placing a near-infrared emitter and respective proximal and distal near-infrared detectors on a skin of a head of a subject; during a baseline recording stage with the subject in resting-state, record near-infrared signals, the recorded signals including a baseline deep-signal and a baseline shallow-signal; calculate a scaling factor between amplitudes of the baseline deep-signal and the baseline shallow-signal at a given task-frequency; with the subject undergoing a cyclic cerebral stimulation at the task-frequency during a stimulation recording stage, record near-infrared signals, the recorded signals comprising a shallow-signal and a deep-signal; and applying the scaling factor to the shallow-signal, calculating the cerebral signal at the task-frequency as a difference between the deep-signal and the scaled shallow-signal, at the task-frequency.
TEMPERATURE ESTIMATION DEVICE, AIR CONDITIONING CONTROL DEVICE, AND AIR CONDITIONING SYSTEM
The derivation unit determines the stability of a parasympathetic nerve activity of the sleeper for each environment temperature, and derives a correspondence relationship between the environment temperature and the stability of the parasympathetic nerve activity of the sleeper. An estimation unit estimates an appropriate value of the environment temperature suitable for the sleeper based on the correspondence relationship derived by the derivation unit.
Device and method for treating cardiac disorders by modulating autonomic response
A method and device for modulating the autonomic nervous system adjacent a pericardial space to treat cardiac arrhythmia includes a treatment source arranged to supply a treatment medium, a catheter having an end sized for insertion into the pericardial space, a medium delivery assembly having a distal end arranged to be positioned by the catheter into the pericardium, with the distal end of the delivery assembly comprising a delivery tip arranged to extend away from the distal end of the catheter into the pericardial space. A connector operatively couples the delivery tip of the medium delivery assembly to the treatment source, and the delivery tip of the medium delivery assembly including a plurality of delivery points for delivering the treatment medium at a plurality of treatment areas within the pericardial space. The device performs modulation or ablation of the autonomic nervous system at selected treatment areas within the pericardium.
VISION-BASED PATIENT STIMULUS MONITORING AND RESPONSE SYSTEM AND METHOD UTILIZING VISUAL IMAGES
Vision-based stimulus monitoring and response systems and methods are presented, wherein detection, via image(s) of a patient through an external stimulus, such as a caregiver, prompts analysis of the response of the patient, via secondary patient sensors or via analysis of patient image(s), to determine an autonomic nervous system (ANS) state.