Method and system embodiments for operating a device implantable in a subject using ultrasonic waves are described. In some embodiments, a method is performed at the implantable device to receive ultrasonic waves including an operating mode command. Then, the implantable device sets an operating mode of the implantable device to one operating mode from a plurality of predetermined operating modes based on the operating mode command.

A system for estimating a state of the nervous system includes at least one sensor configured to sense a continuously variable non-neural physiological condition as sensed data, a relatively low performance processing device configured to receive the sensed data and estimate a state of a nervous system based on the sensed data, and a relatively high performance computing device configured to provide updates to the processing device to improve the estimate of the state of the nervous system. A method for estimating a state of the nervous system includes obtaining sensed data indicative of a continuously variable non-neural physiological condition, estimating a state of a nervous system based on the sensed data, outputting the estimated state of the nervous system, and receiving updates to improve the estimating.

This invention provides methods for mapping and ablating renal nerves to treat disease caused by systemic renal nerve hyperactivity, e.g. hypertension, heart failure, renal failure and diabetes. Also provided are catheters for performing the mapping and ablating functions.

A method of imaging nervous tissue, comprising acquiring functional imaging modality data from a functional imaging modality which images an intrabody volume of a patient having a body part, the patient having been injected with an imaging agent having a nervous tissue uptake by an autonomic nervous system (ANS); and locating the nervous tissue in the intrabody volume based on the functional imaging modality data.

The present invention relates to a stress analysis method including: acquiring bio-signals from a test subject; calculating a probability of each of a plurality of stress level values by processing the bio-signals using a deep neural network algorithm; estimating a stress level value with the maximum probability of the plurality of stress level values as a stress level value of the test subject; determining usefulness of the estimated stress level value; and outputting the estimated stress level value determined to be useful through the determination of usefulness, as the final stress level.

A time feature value calculation apparatus according to an embodiment includes an interpolation unit (182) and a time feature value calculation unit (183). In accordance with a variability tendency of a biological signal exhibited in time-series data of the biological signal resulting from an abnormality value process performed to eliminate an abnormality value from the biological signal in response to an input of the biological signal having periodicity, the interpolation unit interpolates a missing value in the biological signal in the time-series data of the biological signal resulting from the abnormality value process. The time feature value calculation unit calculates a time feature value focusing on the variability tendency of the biological signal measured over an arbitrary time period, from the interpolated time-series data of the biological signal.

One aspect of the invention provides a method of measuring brain state. The method includes: receiving a first plurality of electrical signals from a contact lens placed on a surface of a subject's eye, the first plurality of electrical signals associated with a first plurality of electrodes lying adjacent to an iris dilator muscle of the subject's eye. Another aspect of the invention provides a contact lens including: an optically transparent or translucent substrate; and one or more pairs of electromyography electrodes arranged on or within the optically transparent or translucent substrate. At least one of the one or more pairs electromyography electrodes are arranged to lie adjacent to an iris dilator muscle of a subject's eye when the contact lens is placed on the eye.

In an example, physiological signal(s) are received from physiological sensor(s) configured to measure at least one physiological property of a user. An arousal of at least one characteristic of at least one treatment resistant mood disorder is detected through employment of an estimation method based at least in part on at least one of the physiological signal(s). A value for at least one of a plurality of stimulation parameters is selected based at least in part on at least one of the physiological signal(s). An electric field based at least in part on the arousal is produced. The electric field is configured to stimulate at least a portion of a median nerve of the user transcutaneously. The electric field is based at least in part on at least some of the plurality of stimulation parameters.

According to the present disclosure, a heart rate detection method includes measuring an ECG waveform, calculating a heart rate from the ECG waveform, calculating a difference value of a potential of the ECG waveform between sampling time points, calculating an integrated value obtained by integrating the difference value between a measurement time point and any time point before measurement, and determining whether the heart rate at the measurement time point is to be displayed, by comparing the integrated value to a reference value.

An example of a system for delivering neurostimulation and sensing one or more signals may include a programming control circuit and a parameter control circuit. The programming control circuit may be configured to control the delivery of the neurostimulation according to stimulation parameters and the sensing of a target neural signal including target neural responses according to sensing parameters. The parameter control circuit may be configured to determine the stimulation parameters and the sensing parameters and may include a recording analyzer. The recording analyzer may be configured to evaluate a sequence of test recording configurations each including a set of recording configuration parameters selected from the stimulation parameters and the sensing parameters and to determine one or more recording configurations suitable for detection of the target neural responses using an outcome of the evaluation.