Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

A system for facilitating resuscitation includes: a first electrode assembly having a therapy side and a first motion sensor; a second electrode assembly having a therapy side and a second motion sensor; processing circuitry operatively connected to and programmed to receive and process signals from the first and second motion sensors to estimate at least one of a chest compression depth and rate during administration of chest compressions and to compare the chest compression depth or rate to a desired range; and an output device for providing instructions to a user to administer chest compressions based on the comparison of the estimated chest compression depth or rate to the desired range. One or both of the electrode assemblies may be constructed so that the conductive therapeutic portion is able to maintain substantial conformance to the anatomy of the patient when coupled thereto. For example, at least a portion of the flexible electrode pad may be able to flex from a more rigid sensor housing, or the sensor housing itself may be relatively small compared to the flexible electrode pad so as not to cause lift off of the therapeutic side from the patient.

A stretch-measurement probe includes an elongate outer sleeve, expansion feature associated with a distal portion of the outer sleeve, and an elongate inner rod disposed at least partially within the outer sleeve. The expansion feature is configured to allow a longitudinal distance between a proximal end of the outer sleeve and the distal end of the outer sleeve to be varied.

A pelvic floor contraction detection system and method to evaluate pelvic floor muscle (PFM) exercise performed by a user are disclosed. The contraction detection system comprises a probe adapted to position within a pelvic cavity of the user, a data processing module, and a user interface. The probe comprises two or more sections. Each section is filled with a group of electronic sensors. The first and second sections are seated in contact with tissues of the pelvic cavity. The first and second groups of sensors are configured to detect pressure applied by the internal vaginal surface on the surface of the first and second sections of the probe respectively. The data processing module is in communication with the first and second groups of sensors and configured to calculate a number that is interpreted as the “quality of the contraction”. The data processing module determines the incorrect pelvic floor muscle contraction and notifies the user via a user interface.

A method of monitoring cardiac dysfunction, such as pericardial effusion, is disclosed. The method uses an indwelling probe inserted within a coronary sinus or a chamber or vessel of the heart, the probe having motion sensing means configured to sense motion of the probe based on movement of the wall of the coronary sinus or other chamber or vessel. Data is obtained from the motion sensing means and processed to monitor for cardiac dysfunction. The monitoring can be in real-time and can utilise one or more three-axis accelerometers. In some embodiments, two or more three-axis accelerometers are spaced longitudinally along an elongate body of the probe, which can increase accuracy and reliability of monitoring.

The present invention relates to systems for providing noninvasive cranial nerve stimulation and methods for using the same. The present invention administers therapy through electrodes that are noninvasively attached to one or more of a subject's cranial nerve. The systems can be used to enhancing rehabilitation and recovery by improving neuroplasticity and coupling muscle training with feedback.

The present invention provides an eating monitoring method for judging whether chewing is performed or not by a chewing judgment algorithm on the basis of a temporal variation in a measured value of a sensor unit configured to detect a movement of a jaw while a person takes a meal, the person wearing a detection device comprising the sensor unit. The method includes the steps of: adjusting the chewing judgment algorithm on the basis of a variation in a measured value of the sensor unit, the variation corresponding to a chewing action or a mouth opening/closing action of the person wearing the detection device; and judging whether chewing is performed or not by the chewing judgment algorithm which has been adjusted, and measuring the number of chews on the basis of a temporal variation in a measured value of the sensor unit during the meal.

A return pad of an electrosurgical system is disclosed. The return pad includes a plurality of conductive members and a plurality of sensing devices. The conductive members are configured to receive radio frequency current applied to a patient. The sensing devices are configured to detect at least one of the following: a nerve control signal applied to the patient; and a movement of an anatomical feature of the patient resulting from application of the nerve control signal.

The J-Sleeve System provides a system for collecting and analyzing data from the athletic performance of an athlete to provide feedback and advice on preferred movements to produce increased accuracy and efficient in the performance of the athlete and to improve understanding of the competitive landscape. Users would wear the J-sleeve on their arm during workouts, games, back yard skill sessions for which data is desired for analysis with JSS to improve efficiency and performance of user. JSS uses data and artificial intelligence to improve the efficiency of the athletes and their athletic performance. JSS capabilities include athletic movement form replay and accuracy, movement location tracking, fatigue level tracking, social sharing and competition, and a virtual clipboard for developing plays and positioning, and video game integration. The virtual clipboard allows users to draft optimal plays using data to determine the user with the best chance of success.

A stimulation probe device including a first electrode, a stimulation module, a control module and a physical layer module. The stimulation module is configured to (i) wirelessly receive a payload signal from a console interface module or a nerve integrity monitoring device, and (ii) supply a voltage or an amount of current to the first electrode to stimulate a nerve or a muscle in a patient. The control module is configured to generate a parameter signal indicating the voltage or the amount of current supplied to the electrode. The physical layer module is configured to (i) upconvert the parameter signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the stimulation probe to the console interface module or the nerve integrity monitoring device.