A system for monitoring muscle activity of a biological subject, the system including at least one garment including a number of arrays of electrodes positioned on the garment so that when the garment is worn by a subject in use, the electrodes contact skin of the subject and generate electrical signals indicative of electrical potentials within respective muscles of the subject and at least one electronic processing device that processes signals from the electrodes in each electrode array to determine a muscle activation for parts of the respective muscles and uses the muscle activation to determine at least one muscle indicator indicative of muscle activity of the subject.

A system for monitoring muscle activity of a biological subject, the system including at least one garment including a number of arrays of electrodes positioned on the garment so that when the garment is worn by a subject in use, the electrodes contact skin of the subject and generate electrical signals indicative of electrical potentials within respective muscles of the subject and at least one electronic processing device that processes signals from the electrodes in each electrode array to determine a muscle activation for parts of the respective muscles and uses the muscle activation to determine at least one muscle indicator indicative of muscle activity of the subject.

A method of manufacturing a micro-molded electrode having multiple individually addressable sensors along a shaft can include forming a recess in a mold substrate, depositing a structural material therein, depositing a conductive material at specific locations, providing a coating, and removing the mold substrate. A micro-molded electrode having a base tapering to at least one shaft can include an electrode substrate, multiple individually addressable sensors, and a coating.

A method of manufacturing a micro-molded electrode having multiple individually addressable sensors along a shaft can include forming a recess in a mold substrate, depositing a structural material therein, depositing a conductive material at specific locations, providing a coating, and removing the mold substrate. A micro-molded electrode having a base tapering to at least one shaft can include an electrode substrate, multiple individually addressable sensors, and a coating.

Generally discussed herein are systems, devices, and methods for providing a therapy (e.g., stimulation) and/or data signal using an implantable device. Systems, devices and methods for interacting with (e.g., communicating with, receiving power from) an external device are also provided.

A bio-signal feature scaling apparatus may include: a processor configured to execute instructions to: extract a feature from a bio-signal of an object; estimate a cause of change in a bio-state of the object; calibrate a scale factor based on the estimated cause of change in the bio-state; and scale the extracted feature by applying the calibrated scale factor to the extracted feature.

A bio-signal feature scaling apparatus may include: a processor configured to execute instructions to: extract a feature from a bio-signal of an object; estimate a cause of change in a bio-state of the object; calibrate a scale factor based on the estimated cause of change in the bio-state; and scale the extracted feature by applying the calibrated scale factor to the extracted feature.

A device that non-invasively detects objects beneath or around the foot or a foot position and transmits signals which are processed and then output via an output device on a skin surface not affected by a neurological deficit, such as the hands or thighs. This device is suitable for subjects with diabetic neuropathy who have lost sensation in their feet and are at risk of punctures, cuts or other physical damage and at risk of sprains, strains or falls due to lack of an ability to detect objects underfoot and foot position.

A method for predicting failure of bio-information estimation is provided. The method for predicting failure of bio-information estimation includes: receiving a bio-signal; obtaining failure prediction indicators from the bio-signal that is received until a current time, the failure prediction indicators comprising at least one of a current number of pulses of the bio-signal until the current time, a current signal quality of the bio-signal until the current time, a maximum number of pulses of the bio-signal that are predicted to be measured until a time limit, and a maximum signal quality of the bio-signal that is predicted to be measured until the time limit; and predicting whether bio-information estimation will fail based on the failure prediction indicators before the time limit is elapsed.

A method for predicting failure of bio-information estimation is provided. The method for predicting failure of bio-information estimation includes: receiving a bio-signal; obtaining failure prediction indicators from the bio-signal that is received until a current time, the failure prediction indicators comprising at least one of a current number of pulses of the bio-signal until the current time, a current signal quality of the bio-signal until the current time, a maximum number of pulses of the bio-signal that are predicted to be measured until a time limit, and a maximum signal quality of the bio-signal that is predicted to be measured until the time limit; and predicting whether bio-information estimation will fail based on the failure prediction indicators before the time limit is elapsed.