An apparatus includes the following: a photoplethysmogram sensor head including a light emitter and a photo detector, wherein the photo detector is disposed in a diagonal orientation with respect to a light path from the light emitter to the light detector; and an opaque mask over the photo detector, wherein the mask covers at least partially that half of the photo detector that is at a greater distance from the light emitter and leaves a remaining half of the photo detector exposed.

Methods are disclosed for measuring the size of body parts treated by a compression therapy device. Either the volume or circumference of the body part may be measure. The methods my include evacuating an inflatable compression sleeve to a known pressure, inserting the body part into the compression sleeve, inflating the sleeve to a pre-set condition, and then measuring one or more inflation related parameters. The pre-set conditions may include a predetermined pressure, volume, or size of the inflatable cells comprising the sleeve. The inflation related parameters may include the time to fill the cell to a pre-set pressure, the pressure attained after a pre-set time of inflation, or the measure volume of a cell after a pre-set amount of air is introduced into it. The methods may also include deflating the cells from the known inflation state to a second inflation state and measuring similar parameters.

A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), where EMG signals are detected by electrodes comprising the single-ended channels of the electrode array and the EMG signals are converted to the EMG data. Determining differential channel pairs for the single-ended channels of the electrode array (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).

This bioelectrode is configured by applying a water-absorbing resin to a sheet-like structure including conductive fibers so as to have a moisture retention index of 0.8 or more. This bioelectrode-equipped apparatus comprises a fabric structure having, on a base fabric formed from an elastic fabric, an electrode placement region that includes a wiring formed on a surface of the base fabric, a bioelectrode provided to the terminal end of the wiring, and an insulating layer for covering the wiring, wherein the base fabric has a first extension direction exhibiting relatively low extensibility in the electrode placement region and a second extension direction which is different from the first extension direction and which exhibits higher extensibility than the first extension direction, and the wiring is formed along the first extension direction.

A method for processing physiological signals (S.sub.EMG; S.sub.EEG) acquired from a subject (S) allows the detection of an imminent loss of balance of the subject and the generation of a signal (Aout) indicating the imminent loss of balance. The method comprises: the reception of a plurality of electromyographic signals (S.sub.EMG) representative of a detected muscle activity of a plurality of selected muscles of the subject, as well as a plurality of brain signals (S.sub.EEG) acquired by means of an electroencephalogram and representative of a cortical activity of the subject during said muscle activity; the analysis and processing of the electromyographic signals (S.sub.EMG) in order to extract a muscle activity pattern, MAP, and generate an indicator of normality/abnormality of the detected muscle activity pattern; the analysis and processing of the brain signals (S.sub.EEG) in order to generate one or more cortical response indicators of the subject upon occurrence of said detected muscle activity (I.sub.EGg; LF(k)); and a classification step, wherein at least one indicator (MA(k)) of normality/abnormality of the MAP and one or more of said cortical response indicators are correlated to generate a signal (Aout) indicating an imminent loss of balance.

A measuring device for measuring one or more clinical parameters of a patient, including a housing having multiple sensors, the sensors including one or more cardiac or cardiovascular sensors and one or more additional sensors, the device also including electrical circuitry located in the housing and including a storage unit for storing sensors data and sensors activation rules, where the sensors activation rules dictate which of the multiple sensors is used to sample the clinical parameters, and a processor to process the sensors data, the device also including a sensors switching circuit configured to determine which sensors of the multiple sensors collect information in a given time frame in accordance with the sensors’ activation rules, and an output unit to receive signal values from the sensors and to output clinical data.

Apparatus, systems, and methods for real-time gait modulation are disclosed. In one embodiment, a functional electrical stimulation (FES) device is disclosed comprising one or more wearable articles, a control unit comprising a wireless communication module, one or more processors, one or more memory units, a portable power supply, an electrical muscle stimulation (EMS) generator, and an inertial measurement unit (IMU) comprising at least a gyroscope and an accelerometer. The FES device can also comprise one or more electrode arrays configured to be in physical contact with the limb of the user. The processors can be programmed to execute instructions to retrieve readings from the IMU, calculate a gait cycle percentage by inputting at least the IMU readings into a machine learning algorithm, and instruct the EMS generator to provide electrical stimulation via the one or more electrode arrays based in part on the gait cycle percentage calculated.

A conductive human interface has a fabric layer with an interior surface and an exterior surface. A soft coating overlies the interior surface of the fabric layer. An electrode or sensor is included to connect with a residual limb. A conductive path connects the electrode or sensor with an electrical connector which, in turn connects with a prosthetic or other assistive device. The conductive path includes a conductor having a section overlying the fabric layer. The overlying section of the conductor can be cord of conductive thread. A nonconductive support thread can extend through the fabric layer from the exterior surface to the interior surface, and further around the conductor to secure the overlying section of the conductor to the fabric layer.

A sensor network for pregnancy monitoring of a subject includes a plurality of sensor systems time-synchronized to each other, each sensor system placed on a respective region of the subject and having a sensor member configured to detect data associated with at least one of physiological parameters of the subject, and a Bluetooth low energy system-on-a-chip configured to process and transmit the detected data; and a controller adapted in wireless communication with the plurality of sensor systems and configured to receive, from the plurality of sensor systems, to process, and to display the physiological parameters.

The present invention provides a sensing system, a smart wearing arrangement and a method of fabricating a sensing system. In accordance with illustrative embodiments, the sensing system comprises: a flexible substrate, at least one sensor device, a chip device, and at least one electrical line, the at least one electrical line electrically connecting the chip device and the at least one sensor device. Herein, the at least one sensor device, the chip device, and the at least one electrical line are integrated into the flexible substrate.