Abstract: An example of a system includes a blood pressure modulation device and a controller. The blood pressure modulation device may be configured to deliver a therapy to chronically maintain blood pressure within a prescribed range. The blood pressure modulation device may include a neuromodulator configured to deliver neuromodulation energy to neural tissue in a spinal cord or near the spinal cord using a first parameter set. The controller may include analyzer circuitry configured to determine an actual or anticipated blood pressure demand event indicated for a blood pressure change, and therapy parameter adjuster circuitry configured to respond to the actual or anticipated blood pressure demand event by delivering neuromodulation energy using a second parameter set to change the blood pressure.

Abstract: An apparatus for health care which guides a user to measure a target component. According to one embodiment, the apparatus for health care may include a physiological information acquirer configured to acquire physiological information related to a target component and a processor configured to monitor a measurement event of the target component based on the acquired physiological information and guide a user to measure the target component based on a monitoring result.

Abstract: An electronic device that handles recognition of mental behavioral, affect, emotional, mental states, mental health, or mood-based attributes based on deep neural networks (DNNs), stores a set of EEG signals and a set of bio-signals associated with a subject. The electronic device trains a plurality of first recognition models on a training set of EEG signals and a training set of bio-signals associated with different training subjects. The electronic device trains a second recognition model on a feature vector from output layers of the plurality of first recognition models. The electronic device estimates a plurality of dependency or relationship data by application of the trained plurality of first recognition models on the set of EEG signals and bio-signals. The electronic device identifies a mental behavioral attribute of the subject by application of the trained second recognition model on the plurality of signals and their relationship data.

Abstract: Cardiac activation timing is mapped using a catheter-mounted roving electrode instead of a fixed (e.g., coronary sinus) electrode. The roving electrode is used to measure an initial electrophysiological signal at an initial cardiac location as a reference signal, which is defined as a reference signal. Local activation time(s) for other cardiac location(s), also measured using the catheter-mounted roving electrode, are determined relative to the reference signal. The stability of the reference signal can be monitored, such as by comparing activation rates or cycle lengths between an instantaneously-measured electrophysiological signal and the initial electrophysiological signal. Smaller differences between the two (e.g., less than about 5%) can be compensated for, while larger differences can result in redefining the reference signal.