An electronic fitness device comprises a first optical transmitter, an optical receiver, and a processing element. The first optical transmitter is configured to transmit a first optical signal and a second optical signal. The optical receiver is configured to receive the first and optical signals and to generate first and second photoplethysmogram (PPG) signals resulting from the received optical signals. The processing element is configured to control the first optical transmitter to transmit the first optical signal the second optical signal, receive the first and second PPG signals from the optical receiver and compare them, identify a common cardiac component present in the first and the second PPG signals based on the comparison, determine a signal filter parameter based on the common cardiac component, and generate first and second cardiac components from the first and second PPG signals, respectively, based on the signal filter parameter.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode and/or sensor for health monitoring.

The disclosure includes a biosignal monitoring system for reducing a motion artifact from a biopotential electrical signal input, including a signal processing module, a motion artifact extraction module, and a subtraction module. The motion artifact extraction module and the signal processing module receive the biopotential electrical signal input and the subtraction module receives an extracted signal from an output of the motion artifact extraction module and a biopotential electrical signal from an output of the signal processing module. The subtraction module subtracts the extracted signal from the biopotential electrical signal. The motion artifact extraction module is an analog domain electronic circuit and includes a filter network configured for attenuating differential mode signals of the biopotential electrical signal input from a first frequency, and passing the motion artifact signal from the biopotential electrical signal input up to a second frequency at the output of the motion artifact extraction module.

An electronic fitness device comprises a first optical transmitter, an optical receiver, and a processing element. The first optical transmitter is configured to transmit a first optical signal and a second optical signal. The optical receiver is configured to receive the first and optical signals and to generate first and second photoplethysmogram (PPG) signals resulting from the received optical signals. The processing element is configured to control the first optical transmitter to transmit the first optical signal the second optical signal, receive the first and second PPG signals from the optical receiver and compare them, identify a common cardiac component present in the first and the second PPG signals based on the comparison, determine a signal filter parameter based on the common cardiac component, and generate first and second cardiac components from the first and second PPG signals, respectively, based on the signal filter parameter.

Methods, systems, and devices for direct radio frequency (RF) signal processing for heart rate (HR) monitoring using ultra-wide band (UWB) impulse radar are presented. A radar sensor is able to directly sample a received signal at RF which satisfies the Nyquist sampling rate, preserving a subject's vital sign information in the received signal. The vital sign information can be extracted directly from a raw RF signal and thus down conversion to a complex baseband is not required. The HR monitoring performance from the proposed direct RF signal processing technique provides an improvement in continuous HR monitoring as compared against existing methods using a complex baseband signal and/or other measurement techniques.

A system and method for determining at least one vital sign of a subject includes a plurality of pressure sensors configured to be placed in a vicinity of the subject's body, and configured and operable to sense movements of skin of the subject's body within at least one region on the skin and generate sensing data corresponding to the at least one region. The sensing data comprises a plurality of measured signals being indicative of a common physiological event differentiated in time and intensity from one another and a control unit in data communication with each of pressure sensors of the plurality of pressure sensors. The control unit comprises an analyzer processing utility configured and operable to receive the sensing data corresponding to each of the at least one region; generate, for the pressure sensors associated with each of the at least one region, a pressure variation profile for the region; identify therein one or more predetermined signatures indicative of at least one physiological event of the subject; generate signature data thereof; extract at least one time stamp from the signature data; and generate vital sign data indicative of at least one vital sign of the subject based thereon.

A signal processing method, an apparatus and a non-transitory computer readable storage medium are provided. A plurality of segment signals are taken out based on a time series from a physiological signal, and each segment signal is determined as a desirable signal or an undesirable signal. In response to the i.sup.th segment signal is determined as the undesirable signal, under the condition of determining that both of the (i−2).sup.th segment signal and the (i+2).sup.th segment signal are the desirable signals, the i.sup.th segment signal is reserved. A plurality of instant heart rates are calculated based on the desirable signals and the reserved undesirable signals.

Hand-held optical thromboelastographic sensor and method of using the same for simultaneous assessment of multiple parameters of blood coagulation at a point-of-care. The sensor includes an optical system registering laser speckle intensity associated with a stationary blood sample and data-processing circuitry programmed to derive the multiple parameters from speckle intensity. The circuitry may be part of a mobile device configured to operate without communication with a central server and/or data storage.

A data processing device (100, 200) is disclosed for extracting a desired vital signal containing a physiological information component from sensor data that includes time-dependent first sensor data (PPG1) comprising the physiological information component and at least one motion artifact component, and that includes time-dependent second sensor data that is indicative of a position, a velocity or an acceleration of the sensed region as a function of time. A decomposition unit (104, 204) decomposes the second sensor data into at least two components of decomposed sensor data and, based on the decomposed second sensor data, provides at least two different sets of motion reference data in at least two different motion reference data channels. An artifact removal unit (106, 206) determines the vital signal formed from a linear combination of the first sensor data and the motion reference data of at least one two of the motion reference data channels.

A method for detecting evidence of a stroke in a patient may involve securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head, transmitting a first signal from a first transmitter of the VIPS device through a left hemisphere of the patient's brain to a receiver of the VIPS device, transmitting a second signal from a second transmitter of the VIPS device through a right hemisphere of the patient's brain to the receiver, and detecting the evidence of the stroke, with the VIPS device.