A computer-implemented method for obtaining continuous signals from biopotential signals, including: separating, by a computer, confounding components from the biopotential signals by using a statistical correlation analysis algorithm to obtain denoised neural signals; and decoding, by the computer, the continuous signals from the denoised neural signals.

Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

Computerized systems, methods, and computer-readable storage media storing code for the methods enable feedback to be provided to a user based on neuromuscular signals sensed from the user. One such system includes neuromuscular sensors and at least one computer processor. The sensors, which are arranged on one or more wearable devices, are configured to sense neuromuscular signals from the user. The at least one computer processor is or are programmed to process the neuromuscular signals using one or more inference models, and to provide feedback to the user based on one or both of: the processed neuromuscular signals and information derived from the processed neuromuscular signals. The feedback includes visual feedback of information relating to one or both of: a timing of an activation of at least one motor unit of the user and an intensity of the activation of the at least one motor unit of the user.

A method includes engaging Parkinson's Disease (PD) subjects in a continuous motor performance task that elicits natural motor variability, quantifying natural motor variability of each PD subject with an array of motor metrics at short timescales, applying a machine-learning classification or regression algorithm to determine weights for each of these metrics to maximally differentiate each patient's motor performance from that of controls performing the same task, and combining the weights to determine a scalar metric of motor performance for each short epoch of motor behavior.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

A urodynamic investigation apparatus for receipt of urine from a bladder is provided. The apparatus is characterized by a tubular element, first and second fittings, and a sleeve element, for select passage of urine there through, within the tubular element. The tubular element is characterized by opposing first and second end portions, and a port. The fittings are adapted to be received by the opposing end portions of the tubular element so as to delimit an apparatus chamber. The sleeve element, suspended between the fittings within the chamber, has collapsed and open configurations. The collapsed configuration is indicative of a no urine flow condition, and the open configuration indicative of a urine flow condition, with the sleeve element urine flow condition being a function of pressure applied to the chamber via the port of the tubular element.

A urodynamic investigation apparatus for receipt of urine from a bladder is provided. The apparatus is characterized by a tubular element, first and second fittings, and a sleeve element, for select passage of urine there through, within the tubular element. The tubular element is characterized by opposing first and second end portions, and a port. The fittings are adapted to be received by the opposing end portions of the tubular element so as to delimit an apparatus chamber. The sleeve element, suspended between the fittings within the chamber, has collapsed and open configurations. The collapsed configuration is indicative of a no urine flow condition, and the open configuration indicative of a urine flow condition, with the sleeve element urine flow condition being a function of pressure applied to the chamber via the port of the tubular element.