A method includes obtaining multiple local activation times (LATs) at different respective measurement locations on an anatomical surface of a heart. The method further includes computing respective directions of electrical propagation at one or more sampling locations on the anatomical surface, by, for each sampling location, selecting a respective subset of the measurement locations for the sampling location, constructing a set of vectors, each of at least some of the vectors including, for a different respective measurement location in the subset, three position values derived from respective position coordinates of the measurement location and an LAT value derived from the LAT at the measurement location, and computing the direction of electrical propagation at the sampling location based on a Principal Component Analysis (PCA) of a 4×4 covariance matrix for the set of vectors. The method further includes indicating the directions of electrical propagation on a display.

A magnetic field sensor for a medical device, the magnetic sensor assembly comprising a substrate having a plurality of planar sections, wherein adjacent planar sections are joined by a transition section, and wherein the planar sections are arranged in a substantially C-shaped arrangement such that an inner surface of the magnetic field sensor is concave, and wherein the plurality of planar sections includes a first planar section oriented in a first plane and a second planar section oriented in a second plane orthogonal to the first plane. A first magneto-resistive (MR) sensor is mounted to the first planar section and defining a first axis of sensitivity, and a second MR sensor is mounted to the second planar section and defining a second axis of sensitivity that is orthogonal to the first axis of sensitivity.

There is provided a nerve activity monitoring method that includes receiving an input signal indicative of activity in a nerve of a subject; receiving physiological data indicative of physiological activity in the subject; establishing a relationship between the physiological data and the input signal; identifying a plurality of periodic portions in the input signal based on the relationship between the physiological data and the input signal; and outputting the periodic portions identified.

Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and/or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.

Provided is a biosignal measuring device 100 capable of easily calculating data on blood flow volume, blood flow velocity, and path length in the subject P as data for the time domain, and simplifying brain disease diagnosis based on this. It relates to a biosignal imaging device 1 and a brain image-based brain disease diagnosis system. To this end, the biosignal measuring apparatus 100 detects the reflected light signal after the light irradiated from the plurality of light irradiation units 111 and the plurality of light irradiation units 111 for irradiating light to the subject P are reflected. Based on the light signal detected by the measurement unit 110 including a plurality of light receiving units 112 and the light irradiation control unit 121 for controlling the light signal irradiated from each light irradiation unit 111 and the light receiving unit 112 and a calculation unit 120 including a signal processing unit 122 that calculates data for the subject P in the time domain.

A non-invasive optical measurement system comprises a two-dimensional array of photonic integrated circuits (PICs) mechanically coupled to each other. Each PIC is configured for emitting sample light into an anatomical structure, such that the sample light is scattered by the anatomical structure, resulting in physiological-encoded signal light that exits the anatomical structure. Each PIC is further configured for detecting the signal light. The non-invasive optical measurement system further comprises processing circuitry configured for analyzing the detected signal light from each of the PICs, and based on this analysis, determining an occurrence and a three-dimensional spatial location of the physiological event in the anatomical structure.

A method for localizing gingival inflammation using an oral care device, comprising: (i) simultaneously emitting (520) light by a plurality of light sources (48) of the oral care device, wherein at least some of the plurality of light sources emit light of different wavelengths to result in a plurality of emitted light wavelengths, wherein each of the different wavelengths is modulated with a distinct code; (ii) obtaining (530), by a light detector (40) of the oral care device, reflectance measurements from a location within the user's mouth to generate reflectance data for the location; (iii) demodulating (540), by a controller (30) of the oral care device, the obtained reflectance data; and (iv) determining (560), by the controller using the demodulated reflectance data, whether gingiva at the location is inflamed.

A sensor interface is configured to receive a sensor signal. A transmitter generates a transmit signal. A receiver receives the signal corresponding to the transmit signal. Further, a monitor interface is configured to communicate a waveform to the monitor so that measurements derived by the monitor from the waveform are generally equivalent to measurements derivable from the sensor signal.

Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.