Patent classifications
A61B5/113
Abnormality determination apparatus and non-transitory computer readable medium storing program
One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.
Adhesive layer application and removal device for wearable hardware
A method is disclosed that includes removing an adhesive layer from a lower housing of a monitoring device; aligning the monitoring device with an opening of an adhesive applicator; coupling an uppermost adhesive layer that is positioned within the adhesive applicator with the lower housing; and removing the monitoring device from the opening of the adhesive applicator. A shape of the lower housing of the monitor corresponds to the shape of the opening of the adhesive applicator; and aligning the monitoring device with the opening of the adhesive applicator comprises matching the orientation of the lower housing to the orientation of the opening in the adhesive applicator. The method also includes the monitoring device selectively entering a battery preservation mode.
BIOLOGICAL MEASUREMENT APPARATUS
To perform respiratory monitoring and cardiac-output measurement on general patients, an aspect of a biological measurement apparatus includes: at least two electrodes that are attached to a living body; a power supply that causes an AC current to flow between the two electrodes; at least two coils that are placed so as to sandwich a line linking the two electrodes, and detect a magnetic field related to a change in the AC current accompanying a change in impedance of the living body; and a detection circuit that performs addition or subtraction of signals related to the magnetic field detected with the two coils, and outputs the signals as a change in the impedance.
System and Method for Presence and Pulse Detection from Wireless Signals
Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the user's behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.
CONTEXTUALIZED EQUALIZATION
A method may include receiving a reading from a pressure sensor disposed within an object in contact with a body of a user, where the pressure sensor includes a force sensitive resistor (FSR) in series with a constant resistor. The object may host a transducer that is configured to provide vibrotactile sensations to the body of the user. The method may also include, using the reading from the pressure sensor, computing an amount of pressure exerted on the object by the body of the user. The method may additionally include comparing the amount of pressure to a pressure threshold data structure to determine a transducer system state associated with the transducer. The method may also include performing equalization processing on an output signal used by the transducer, where the equalization processing is specific to the transducer system state.
CONTEXTUALIZED EQUALIZATION
A method may include receiving a reading from a pressure sensor disposed within an object in contact with a body of a user, where the pressure sensor includes a force sensitive resistor (FSR) in series with a constant resistor. The object may host a transducer that is configured to provide vibrotactile sensations to the body of the user. The method may also include, using the reading from the pressure sensor, computing an amount of pressure exerted on the object by the body of the user. The method may additionally include comparing the amount of pressure to a pressure threshold data structure to determine a transducer system state associated with the transducer. The method may also include performing equalization processing on an output signal used by the transducer, where the equalization processing is specific to the transducer system state.
METHOD AND APPARATUS FOR DETERMINING RESPIRATION PHASE, MAGNETIC RESONANCE IMAGING METHOD AND SYSTEM
The present disclosure provides techniques for determining a respiration phase by extracting a distance characteristic value, a score characteristic value, and an area characteristic value from the respiration signal, wherein the distance characteristic value, the score characteristic value and the area characteristic value are used to indicate waveform variation between two adjacent waveforms in the respiration signal. The techniques include training a respiration signal model according to the distance characteristic value, the score characteristic value, and the area characteristic value to determine the respiration phase of the respiration signal using the respiration signal model.
METHOD AND APPARATUS FOR DETERMINING RESPIRATION PHASE, MAGNETIC RESONANCE IMAGING METHOD AND SYSTEM
The present disclosure provides techniques for determining a respiration phase by extracting a distance characteristic value, a score characteristic value, and an area characteristic value from the respiration signal, wherein the distance characteristic value, the score characteristic value and the area characteristic value are used to indicate waveform variation between two adjacent waveforms in the respiration signal. The techniques include training a respiration signal model according to the distance characteristic value, the score characteristic value, and the area characteristic value to determine the respiration phase of the respiration signal using the respiration signal model.
System and a Method for Determining Breathing Rate as a Biofeedback
System and method for determining breathing rate as biofeedback is provided. First biomarker, second biomarker, third biomarker and fourth biomarker is extracted by computation engine from physiological parameters associated with subject by applying pre-defined set of rules. A first value is computed by feedback unit as a function of second biomarker, third biomarker and fourth biomarker. A correlation between first value and time domain parameter of fourth biomarker and frequency domain parameter of fourth biomarker is determined. First value indicates stress level of subject. Second value is computed by maximizing time domain parameter of fourth biomarker and minimizing frequency domain parameter of fourth biomarker based on correlation. Second value indicates reduced stress level of subject. Biofeedback is transmitted by feedback unit to cue generation unit which represents quantified data determined based on second value. The quantified data is indicative of modified second biomarker.
System and a Method for Determining Breathing Rate as a Biofeedback
System and method for determining breathing rate as biofeedback is provided. First biomarker, second biomarker, third biomarker and fourth biomarker is extracted by computation engine from physiological parameters associated with subject by applying pre-defined set of rules. A first value is computed by feedback unit as a function of second biomarker, third biomarker and fourth biomarker. A correlation between first value and time domain parameter of fourth biomarker and frequency domain parameter of fourth biomarker is determined. First value indicates stress level of subject. Second value is computed by maximizing time domain parameter of fourth biomarker and minimizing frequency domain parameter of fourth biomarker based on correlation. Second value indicates reduced stress level of subject. Biofeedback is transmitted by feedback unit to cue generation unit which represents quantified data determined based on second value. The quantified data is indicative of modified second biomarker.