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.

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.

An ophthalmic device includes an enclosure, an electromyography sensor, and a controller. The enclosure is configured to mount in or on an eye. The enclosure further includes a first material and a second material disposed within the first material. The electromyography sensor is adapted to measure electrical activity of a muscle of the eye proximate to a first annular region of the ophthalmic device when the ophthalmic device is mounted in or on the eye. The electromyography sensor includes a first electrode and a second electrode, each positioned within the first annular region between the first material and at least a portion of the second material. The controller, coupled to the electromyography sensor, stores instructions that when executed causes the ophthalmic device to perform operations including acquiring a first signal representative of the electrical activity of the muscle by measuring the electrical activity with the electromyography sensor.

An ophthalmic device includes an enclosure, an electromyography sensor, and a controller. The enclosure is configured to mount in or on an eye. The enclosure further includes a first material and a second material disposed within the first material. The electromyography sensor is adapted to measure electrical activity of a muscle of the eye proximate to a first annular region of the ophthalmic device when the ophthalmic device is mounted in or on the eye. The electromyography sensor includes a first electrode and a second electrode, each positioned within the first annular region between the first material and at least a portion of the second material. The controller, coupled to the electromyography sensor, stores instructions that when executed causes the ophthalmic device to perform operations including acquiring a first signal representative of the electrical activity of the muscle by measuring the electrical activity with the electromyography sensor.

A blood pressure estimating apparatus includes a sensor configured to obtain a bio-signal of an object; and a processor configured to extract a first cardiovascular feature and a second cardiovascular feature based on the bio-signal, and estimate blood pressure based on a first changing tendency of the first cardiovascular feature from a first reference level and a second changing tendency of the second cardiovascular feature from a second reference level, the first changing tendency and the second changing tendency being independent from each other.

A blood pressure estimating apparatus includes a sensor configured to obtain a bio-signal of an object; and a processor configured to extract a first cardiovascular feature and a second cardiovascular feature based on the bio-signal, and estimate blood pressure based on a first changing tendency of the first cardiovascular feature from a first reference level and a second changing tendency of the second cardiovascular feature from a second reference level, the first changing tendency and the second changing tendency being independent from each other.

A training method is provided to train changing muscle contribution in a human subject while the human subject is performing a complex movement. Feedback is provided in a simple understandable fashion by one or more data points calculated based on electromyography signals obtained over e.g. a stance phase of a walking cycle. The training method showed a significantly increased training effect in subjects performing these complex movements where these subjects were able to change the muscle activation given a specific goal. The training could be setup of a single muscle or multiple muscles. The data point feedback could be a measure for the single muscle or some relative measure for the multiple muscles. The training method results in improved coordination strategies and could be useful for retraining purposes as well as intervention methods for musculoskeletal pathologies or movement disorders.

A training method is provided to train changing muscle contribution in a human subject while the human subject is performing a complex movement. Feedback is provided in a simple understandable fashion by one or more data points calculated based on electromyography signals obtained over e.g. a stance phase of a walking cycle. The training method showed a significantly increased training effect in subjects performing these complex movements where these subjects were able to change the muscle activation given a specific goal. The training could be setup of a single muscle or multiple muscles. The data point feedback could be a measure for the single muscle or some relative measure for the multiple muscles. The training method results in improved coordination strategies and could be useful for retraining purposes as well as intervention methods for musculoskeletal pathologies or movement disorders.

A system provides ultra-wideband (UWB) positioning. The system exchanges ranging signals at a first rate between a UWB beacon and a UWB tag. The system then determines movement or location information of the UWB tag; and select, based on the movement or location information, a second rate for exchanging subsequent ranging signals between the UWB beacon and the UWB tag. The system then exchanges the subsequent ranging signals at the second rate between the UWB beacon and the UWB tag.

A system for performing surgical procedures and assessments. The system includes the use of neurophysiology-based monitoring to determine nerve proximity and nerve direction to surgical instruments employed in accessing a surgical target site.