The present disclosure provides methods and apparatuses for identifying and/or analyzing a muscle tissue of a subject. An apparatus for identifying and/or analyzing muscle tissue of the present disclosure may comprise an optical element comprising an excitation probe and a collection probe. A method for identifying or analyzing muscle tissue of the present disclosure may comprise the generation of images of a muscle tissue using signals generated from the tissue by a beam of light directed towards the muscle tissue from the excitation probe and collected by the collection probe. Signals collected by the collection probe may include forward second harmonic generation signals.

A wearable ultrasound apparatus is disclosed for use in connection with various biomedical applications, including musculoskeletal (“MSK”) imaging and analysis, In at least one embodiment, the apparatus provides at least one of an ultrasound module configured for obtaining an at least one ultrasound image of a portion of a user’s body on which the at least one ultrasound module is positioned (hereinafter referred to as the “target site” for simplicity purposes), a electrophysiological (“EP”) module configured for detecting bioelectric signals of the target site, and a near-infrared spectroscopy (“NIRS”) module configured for monitoring oxygenation status and/or biochemical measurements of the target site.

A method for determining a muscle section of a body part. The muscle section (S) is determined as a function of: at least two electrical resistance values measured through different electrodes located on different locations of the body, at least two electrodes being located along the body part, and a muscle conductivity constant (σ), and a permittivity constant of the muscle (ε).

A joint motion measurement apparatus includes securing mechanisms that secure sensors to various body parts such as the leg, including the femur, tibia, malleoli and/or calcaneus. The sensors are configured to measure a position and/or motion of the various parts of the leg relative to one another. The sensor data is usable to determine kinematic and/or muscle properties of the leg including knee laxity, tibiofemoral measurements and/or spastic properties.

Provided is a non-invasive system and method of determining pennation angle and/or fascicle length based on image processing. An ultrasound scan image is processed to facilitate distinguishing of muscle fiber and tendon. The processed ultrasound scan image is then analyzed. The pennation angle and/or fascicle length is determined based on the analysis. An example method includes receiving an ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle fiber and tendon from remaining elements and determines the pennation angle and/or the fascicle length from the muscle fiber and the tendon. Associated apparatuses and computer program products are also disclosed.

Described herein are methods, devices and systems for efficiently storing data for sensed biological signals. A sensed biological signal, or an amplitude and/or filtered version thereof, is provided to an N-bit ADC of an IMD to produce an N-bit data value indicative of an amplitude of the biological signal at a point in time. One of a plurality of chords of a compression curve is selected, based on a magnitude of the N-bit data value, and used to produce an M-bit data value, which is a compressed version of the N-bit data value, wherein M<N. The M-bit data value is stored as an M-bit data slice within memory of the IMD, and can be expanded to a reproduced N-bit data value after being uploaded to a non-implanted device or system.

Systems may include a watch band, a watch body including at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body. Various other related methods and systems.

Methods and apparatuses for monitoring and regulating physiological states and functions are disclosed. Several embodiments include application of one or more microelectrode arrays to a dorsal root ganglion for measurement of sensory neuron activity, or stimulation of sensory reflex circuits. The methods and apparatuses can be used, for example, for monitoring or controlling bladder function in a patient.

A method of measuring a bio signal using a bio signal measuring apparatus includes: positioning electrodes included as part of the bio signal measuring apparatus to contact a surface of an examinee; switching an impedance measurer included as part of the bio signal measuring apparatus and including a voltmeter and a current source; measuring a first impedance value of the examinee while operating the impedance measurer according to a first mode; switching the impedance measurer to a second mode; measuring a second impedance value of the examinee while operating the impedance measurer according to a second mode; and obtaining bio impedance of the examinee based on the first and second impedance values and an internal impedance of the current source.

A sports injury sensing system and method are provided. The sports injury sensing system includes a sports injury sensing apparatus. The apparatus receives a plurality of inertial sensing data of a user, and each of the inertial sensing data corresponds to a body part of the user. The apparatus determines an exercising body part of the user based on the inertial sensing data. The apparatus receives a thermal image sensing datum corresponding to the exercising body part, wherein the thermal image sensing datum indicates a body temperature state of the user. The apparatus analyzes a temperature change of surrounding muscles of the exercising body part based on the thermal image sensing datum. The apparatus calculates a sports injury assessment based on the inertial sensing data and the temperature change of surrounding muscles.