Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.

Methods and systems for use in treating one or more patient’s sensory impairment, e.g., associated with peripheral neuropathy. An exemplary system may be configured to generate treatment information for treating sensory impairment in at least one body portion using photonic energy from a therapeutic laser based on data indicative of damage.

A diagnosis device, and more particularly, a compartment syndrome diagnostic device is described herein. The diagnostic device may include a display that renders information associated with stimulation of a motor unit suspected of suffering from compartment syndrome. The diagnostic device may generate a stimulation signal for stimulating the motor unit through an electrode. The device may determine whether the motor unit is at risk for compartment syndrome based on the response of the motor unit to the stimulation. The diagnostic device may also measure pressure of a compartment. The device may determine whether the motor unit is at risk for compartment syndrome based on the measured pressure and the response of the motor unit to the stimulation.

A diagnosis device, and more particularly, a compartment syndrome diagnostic device is described herein. The diagnostic device may include a display that renders information associated with stimulation of a motor unit suspected of suffering from compartment syndrome. The diagnostic device may generate a stimulation signal for stimulating the motor unit through an electrode. The device may determine whether the motor unit is at risk for compartment syndrome based on the response of the motor unit to the stimulation. The diagnostic device may also measure pressure of a compartment. The device may determine whether the motor unit is at risk for compartment syndrome based on the measured pressure and the response of the motor unit to the stimulation.

Disclosed herein are systems and methods for providing feeding reinforcement in real-time or near real-time based on physiological sensor data acquired during feeding. In some examples, music reinforcement is rendered when one or more feeding features indicative of one or more feeding behaviors are detected using the physiological sensor data. When at least one feature is not detected, the music reinforcement is stopped. In this way, contingent reinforcement is provided in real-time or near real-time based on detection of the one or more feeding behaviors to encourage and improve independent feeding behavior.

A coupled physiological signal measurement method, a coupled physiological signal measurement system and a graphic user interface are provided. The coupled physiological signal measurement method includes the following steps. An original myoelectric signal is captured. A capacitance value of a skin is obtained. The original myoelectric signal is compensated according to the capacitance value of the skin. The step of compensating the original myoelectric signal according to the capacitance value includes the following steps. The original myoelectric signal is decomposed to obtain several myoelectric sub-signals corresponding to several frequencies, wherein each myoelectric sub-signal has an amplitude variation. The amplitude variations of the myoelectric sub-signals are respectively adjusted according to the capacitance value of the skin. The adjusted myoelectric sub-signals are merged to obtain a compensated myoelectric signal.

A coupled physiological signal measurement method, a coupled physiological signal measurement system and a graphic user interface are provided. The coupled physiological signal measurement method includes the following steps. An original myoelectric signal is captured. A capacitance value of a skin is obtained. The original myoelectric signal is compensated according to the capacitance value of the skin. The step of compensating the original myoelectric signal according to the capacitance value includes the following steps. The original myoelectric signal is decomposed to obtain several myoelectric sub-signals corresponding to several frequencies, wherein each myoelectric sub-signal has an amplitude variation. The amplitude variations of the myoelectric sub-signals are respectively adjusted according to the capacitance value of the skin. The adjusted myoelectric sub-signals are merged to obtain a compensated myoelectric signal.

Injectable biophotonic sensors, systems relating to biophotonic sensors, and methods of using the injectable biophotonic sensors and systems are described. Methods and devices for delivering injectable biophotonic sensors to a subject are described. In an embodiment, an injectable biophotonic sensor comprises a printed circuit board (PCB); a light source; a first sensing element; a second sensing element; a receiver device or a induction coil; and an outer casing, wherein the first sensing element, the second sensing element, and the receiver device or the receiver induction coil are coupled to the PCB.