A method includes applying a stimulation profile having a plurality of stimulation signals to at least one muscle of a recipient and/or to at least one neuron configured to control the at least one muscle. The method further includes monitoring muscle fatigue of the at least one muscle during said applying the stimulation profile. The method further includes automatically modifying the stimulation profile in response to said muscle fatigue.

Provided is a method of identifying a user by converting an electrocardiogram (ECG) and an electromyogram (EMG) into images, respectively, and inputting each converted image to a multi-stream convolutional neural network (multi-stream CNN). According to an embodiment of the present disclosure, the user identification method using the ECG and the EMG includes acquiring one-dimensional ECG and EMG signals for a user, converting the ECG and EMG signals into two-dimensional images, respectively, and identifying a user by inputting the two-dimensional images to a multi-stream convolutional neural network (multi-stream CNN), respectively.

Provided is a method of identifying a user by converting an electrocardiogram (ECG) and an electromyogram (EMG) into images, respectively, and inputting each converted image to a multi-stream convolutional neural network (multi-stream CNN). According to an embodiment of the present disclosure, the user identification method using the ECG and the EMG includes acquiring one-dimensional ECG and EMG signals for a user, converting the ECG and EMG signals into two-dimensional images, respectively, and identifying a user by inputting the two-dimensional images to a multi-stream convolutional neural network (multi-stream CNN), respectively.

A method for diagnosing a joint condition includes in one embodiment: creating a 3d model of the patient specific bone; registering the patient's bone with the bone model; tracking the motion of the patient specific bone through a range of motion; selecting a database including empirical mathematical descriptions of the motion of a plurality actual bones through ranges of motion; and comparing the motion of the patient specific bone to the database.

Device and method for determining an efficacy of chronic pain treatment including providing a first set of at least one stimulus to a subject, obtaining first measurements of at least two physiological parameters in response to the first set of at least one stimulus, providing chronic pain treatment to the subject, providing a second set of at least one stimulus to the subject, obtaining second measurements of the at least two physiological parameters in response to the second set of at least one stimulus; and determining an efficacy of the chronic pain treatment by applying a classification algorithm on the first and second measurements of the at least two physiological parameters.

A method and system are disclosed for use in monitoring/screening/diagnosing sleep or wake state of a subject or patient. The method generally includes monitoring the patient's activity during one or more sleep sessions comprising a plurality of intervals known as epochs. The sleep/wake state of the subject is determined during each epoch of the session using actigraphy data obtained during the monitoring session. The actigraphy data provides information about the activity of a patient during an epoch. The sleep or wake state is determined based on a ratio of the activity count during an epoch to the activity count during a preceding epoch. If the ratio is greater than a first activity threshold, then a “wake” indication may be provided by, for example, the system. Alternatively, or additionally, a “wake” indication may be determined if the activity count during the epoch is greater than a threshold.

A method and system are disclosed for use in monitoring/screening/diagnosing sleep or wake state of a subject or patient. The method generally includes monitoring the patient's activity during one or more sleep sessions comprising a plurality of intervals known as epochs. The sleep/wake state of the subject is determined during each epoch of the session using actigraphy data obtained during the monitoring session. The actigraphy data provides information about the activity of a patient during an epoch. The sleep or wake state is determined based on a ratio of the activity count during an epoch to the activity count during a preceding epoch. If the ratio is greater than a first activity threshold, then a “wake” indication may be provided by, for example, the system. Alternatively, or additionally, a “wake” indication may be determined if the activity count during the epoch is greater than a threshold.

The present invention relates to a system, its catheter and its method for providing electrical pulses and/or therapeutic or diagnostic liquids directly to a pituitary gland of a mammal. The catheter, containing an electrode or a microcannula or both, is moved through an endovascular route of a patient to his/her sinus cavernosus and then the distal end of the electrode or microcannula is moved through an opening in the distal end of the catheter and then through a perforation in the medial wall of the sinus cavernosus, to the pituitary gland.

Methods, systems, and apparatus for detecting rhythmic synchronization of motor neurons. The system includes one or more sensors for receiving a first signal that measures an electrical signal of one or more neurons, the first signal having a first plurality of specific bursts. The system includes a processor connected to the one or more sensors. The processor is configured to receive the first signal. The processor is configured to generate a second signal based on the first signal using a discrete wavelet transform, the second signal having a second plurality of specific bursts. The processor is configured to determine a time delay between a specific burst within the first plurality of specific bursts and a specific burst within the second plurality of specific bursts using one or more expert rules. The processor is configured to apply the time delay to the first signal.

Methods, systems, and apparatus for detecting rhythmic synchronization of motor neurons. The system includes one or more sensors for receiving a first signal that measures an electrical signal of one or more neurons, the first signal having a first plurality of specific bursts. The system includes a processor connected to the one or more sensors. The processor is configured to receive the first signal. The processor is configured to generate a second signal based on the first signal using a discrete wavelet transform, the second signal having a second plurality of specific bursts. The processor is configured to determine a time delay between a specific burst within the first plurality of specific bursts and a specific burst within the second plurality of specific bursts using one or more expert rules. The processor is configured to apply the time delay to the first signal.