An apparatus for energy expenditure estimation includes a heart rate sensor for producing a heart rate value indicative of a heart rate of an individual, a heat-flux sensor for producing a heat-flux value indicative of a heat-flux flowing through a measurement area on the skin of the individual, and a processing system communicatively connected to the heart rate sensor and the heat-flux sensor. The processing system is configured to produce an estimate of the energy expenditure based on the heart rate value and the heat-flux value. The use of the heat-flux value improves the accuracy of the estimation especially during low-intensity exercise and rest, when both heart rate and acceleration values often fail to provide information meaningful enough for energy expenditure estimation.

This disclosure relates generally to patient invariant model for freezing of gait detection based on empirical wavelet decomposition. The method receives a motion data from an accelerometer sensor coupled to an ankle of a subject. The motion data is further processed to denoise a plurality of data windows using a peak detection technique to classify into a real motion data window or a noisy data window. Further, a plurality of denoised data windows are generated by processing spectrums associated with each real motion data window and a plurality of empirical modes using an empirical wavelet decomposition technique (EWT). Then, a resultant acceleration is computed, and a plurality of features are extracted from the denoised data window which enables detection of freezing of gait based on a pretrained classifier model into a (i) a positive class, or (ii) a negative class.

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

An inertial sensor based surgical navigation system for knee replacement surgery is disclosed. Inertial sensors composed of six-degree-of-freedom inertial chips, whose measurements are processed through a series of integration, quaternion, and kalman filter algorithms, are used to track the position and orientation of bones and surgical instruments. The system registers anatomically significant geometry, calculates joint centers and the mechanical axis of the knee, develops a visualization of the lower extremity that moves in real time, assists in the intra-operative planning of surgical cuts, determines the optimal cutting planes for cut guides and the optimal prosthesis position and orientation, and finally navigates the cut guides and the prosthesis to their optimal positions and orientations using a graphical user interface.

The present inventions, in one aspect, are directed to systems and circuitry for and/or methods of establishing communication having one or more pairing facilitator-intermediary devices (for example, a network connected server) to enable or facilitate pairing and/or registering at least two devices (e.g., (i) a portable biometric monitoring device and (ii) a smartphone, laptop and/or tablet) to, for example, recognize, interact and/or enable interoperability between such devices. The pairing facilitator-intermediary device may responsively communicates information to one or more of the devices (to be paired or registered) which, in response, enable or facilitate such devices to pair or register. The present inventions may be advantageous where one or both of the devices to be paired or registered is/are not configured (e.g., include a user interface or certain communication circuitry that is configured or includes functionality) to pair devices without use of a facilitator-intermediary device.

The bioelectrical impedance measurement device mainly includes a portable casing, a control member inside the portable casing, and an electrode assembly joined to the portable casing and electrically connected to the control member. The control member includes current generation element, a current collection and processing element, and a current protection element. The electrode assembly includes a left-hand contact and a right-hand contact, both configured on the portable casing. The electrode assembly further includes a left-foot contact, and a right-foot contact, both extended from the portable casing. The left-hand contact, right-hand contact, left-foot contact, and right-foot contact are respectively connected to a user's left hand, right hand, left foot, and right foot. The current generation element generates an electrical current, which enters the user's body through the limbs and then collected to calculate various bioelectrical impedances and to determine a required biological information.

A computer system for simultaneously sampling multiple light channels is configured to emit a first pulse-oximetry light signal from a first light source and to emit a second pulse-oximetry light signal from a second light source. The computer system then captures a combined pulse-oximetry signal from both the first pulse-oximetry light signal and the second pulse-oximetry light signal simultaneously at a photoreceptor sensor. The computer system identifies information within the combined pulse-oximetry signal, wherein the first light source and the second light source capture different attributes of the information.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

In some aspects, a device is disclosed for monitoring load bearing of a foot. The device can include a housing, a transmitter, and a pressure sensor. The housing can be positioned under a foot of a patient and attach to the foot. The transmitter can wirelessly transmit an indication that a portion of the foot is supporting at least a threshold weight. The pressure sensor can wake up from a sleep mode responsive to the portion supporting at least the threshold weight, cause the transmitter to transmit the indication, and return to the sleep mode.