A system and method for determining an arrhythmia risk are provided and include memory to store specific executable instructions and a machine learning (ML) model trained to predict an arrhythmia with a characteristic of interest (COI) that exhibits a non-physiologic behavior. One or more processors are configured to execute the specific executable instructions to obtain CA signals collected by an implantable medical device (IMD), wherein the COI exhibits a physiologic behavior and apply the ML model to the CA signals to identify a risk factor that a patient will experience the arrhythmia at a future point in time even though the COI in the CA signals, exhibits a physiologic behavior.

A system and method for determining an arrhythmia risk are provided and include memory to store specific executable instructions and a machine learning (ML) model trained to predict an arrhythmia with a characteristic of interest (COI) that exhibits a non-physiologic behavior. One or more processors are configured to execute the specific executable instructions to obtain CA signals collected by an implantable medical device (IMD), wherein the COI exhibits a physiologic behavior and apply the ML model to the CA signals to identify a risk factor that a patient will experience the arrhythmia at a future point in time even though the COI in the CA signals, exhibits a physiologic behavior.

An oral appliance is disclosed that provides electrical stimulation to a patient's tongue in a manner that prevents collapse of the tongue and/or soft palate during sleep. More specifically, the appliance may induce a reversible current or currents in a lateral direction across the tongue in a manner that shortens the patient's Palatoglossus muscle and/or Styloglossus muscle SGM, which in turn elevates the base of the tongue toward the roof of the oral cavity, changes the shape of the tongue, pulls the patient's soft palate downward towards a base of the tongue, and/or decreases a volume of the tongue.

According to an aspect, a system for stimulating muscle comprises a set of stimulators to stimulate a first muscles, a set of sensors providing first measurement comprising a set of electromyograms (EMG) from another set of muscles coupled to the body part, a set of sensors mounted in the vicinity of the set of stimulator and the set of sensors, providing a measurement representing a motion and orientation of the first body part, another set of sensors providing a measurement representing a condition external to the body part, a processor generating a first position of the body part at a first time instance from the measurements and a processor adjusting at least one of a time duration, trigger instance, and trigger strength of the set of stimulator. In that, the comparator generates a position error as difference between the first position and a reference.

A method and neurostimulation system for treating a patient are provided. A plurality of pulsed electrical waveforms are respectively delivered within a plurality of timing channels of the neurostimulation system, thereby treating the patient. Sets of stimulation pulses within the pulsed electrical waveforms that will potentially overlap temporally are predicted. Stimulation pulses in the respective pulsed electrical waveforms are temporally shifted in a manner that prevents overlap of the potentially overlapping pulse sets while preventing frequency locking between the timing channels.

The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

The invention provides a system for monitoring a fetus in a pregnant woman, and/or the maternal health risk for pregnancies complicated by such as pre-eclampsia and hypertensive disorders. The system comprises a portable or wearable unit that can be worn by the pregnant woman, preferably so as to allow monitoring during daily life, e.g. in the form of an adhesive patch. The portable unit has a sound sensor, e.g. a microphone or accelerometer, to be positioned on the skin of the abdominal area of the pregnant woman so as to detect a vascular sound from umbilical arteries of the fetus or from the uterine arteries of the pregnant woman. The sound sensor is functionally connected to a processing unit which executes a processing algorithm on the captured vascular sound and extracts a signal parameter accordingly, e.g. the Pulsatility Index. The processing unit then communicates the signal parameter, e.g. using an audio signal, a visual display or by means of a wired or a wireless data signal. Some embodiments include one or more additional sensors, such as a sensor for detecting fetal electrocardiographic signals, and/or a sensor for detecting uterus electromyographic activity. Especially, the sound sensor and such additional sensor(s) may be arranged within one adhesive patch or several adhesive patches.

The invention provides a system for monitoring a fetus in a pregnant woman, and/or the maternal health risk for pregnancies complicated by such as pre-eclampsia and hypertensive disorders. The system comprises a portable or wearable unit that can be worn by the pregnant woman, preferably so as to allow monitoring during daily life, e.g. in the form of an adhesive patch. The portable unit has a sound sensor, e.g. a microphone or accelerometer, to be positioned on the skin of the abdominal area of the pregnant woman so as to detect a vascular sound from umbilical arteries of the fetus or from the uterine arteries of the pregnant woman. The sound sensor is functionally connected to a processing unit which executes a processing algorithm on the captured vascular sound and extracts a signal parameter accordingly, e.g. the Pulsatility Index. The processing unit then communicates the signal parameter, e.g. using an audio signal, a visual display or by means of a wired or a wireless data signal. Some embodiments include one or more additional sensors, such as a sensor for detecting fetal electrocardiographic signals, and/or a sensor for detecting uterus electromyographic activity. Especially, the sound sensor and such additional sensor(s) may be arranged within one adhesive patch or several adhesive patches.

The device comprises: a first support layer (C1) having detection means including several electrodes (11) arranged, in use, in contact with the skin of a user on at least one muscle, or part thereof, and configured for acquiring a plurality of electromyographic signals, said first support layer (C1) being mechanically and electrically attached in a detachable manner to a second support layer (C2); and said second support layer (C2) which includes electronic means (BE) configured for performing the conditioning of said acquired electromyographic signals, conversion thereof to a digital format and transmission through a communication channel (26) to a master electronic unit (27), wherein said master electronic unit (27) is configured for controlling said electronic means (BE) and to further transmit the received conditioned and digitized electromyographic signals to a control unit (30) for monitoring thereof.