Generator systems and methods are provided for generating a neuromuscular-to-motion decoder from a healthy limb. The generator system is configured to receive neuromuscular signals from neuromuscular sensors associated to predefined muscle/nerve locations of at least one pair of agonist and antagonist muscles/nerves of the healthy limb, obtained during performance by the person of a predefined exercise (defined by predefined exercise data) with the healthy limb; to receive motion signals from motion sensors associated to predefined positions of the healthy limb, during performance by the person of the predefined exercise with the healthy limb; and to generate the neuromuscular-to-motion decoder by mapping the neuromuscular signals to the motion signals over time using a mapping method. Rehabilitation systems are also provided for rehabilitating a paretic limb by using a neuromuscular-to-motion decoder produced by a generator system.

Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal, for stimulating and/or sensing activity of media proximal to the device, wherein the media includes tissue and/or fluid.

Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal, for stimulating and/or sensing activity of media proximal to the device, wherein the media includes tissue and/or fluid.

Systems and methods are described herein for determining whether cardiac conduction system pacing therapy may be beneficial and/or determining how proximal or distal a cardiac conduction system block may be using external cardiac signals. To do so, one or more left-sided metrics of electrical heterogeneity information may be generated based on left-sided surrogate cardiac electrical measured using a plurality of left external electrodes.

The present disclosure describes systems and methods to evaluate auditory efferent function by exposing a patient to short-duration acoustic click stimuli to generate a click-evoked otoacoustic emission (CEOAE) occurring in each ear of the patient, and in response to exposing the patient to click stimuli, concurrently sampling outer hair cell activity (OHC) and medial olivocochlear reflex (MOCR; efferents) in each ear of the patient, monitoring the middle ear muscle reflex (MEMR) in each ear of the patient, and measuring a change in cochlear activity in the patient based on the CEOAE, MOOR, and MEMR of each ear of the patient.

Some method examples may include pacing a heart with cardiac paces, sensing a physiological signal for use in detecting pace-induced phrenic nerve stimulation, performing a baseline level determination process to identify a baseline level for the sensed physiological signal, and detecting pace-induced phrenic nerve stimulation using the sensed physiological signal and the calculated baseline level. Detecting pace-induced phrenic nerve stimulation may include sampling the sensed physiological signal during each of a plurality of cardiac cycles to provide sampled signals and calculating the baseline level for the physiological signal using the sampled signals. Sampling the sensed physiological signal may include sampling the signal during a time window defined using a pace time with each of the cardiac cycles to avoid cardiac components and phrenic nerve stimulation components in the sampled signal.

The present disclosure describes systems and methods to evaluate auditory efferent function by exposing a patient to short-duration acoustic click stimuli to generate a click-evoked otoacoustic emission (CEOAE) occurring in each ear of the patient, and in response to exposing the patient to click stimuli, concurrently sampling outer hair cell activity (OHC) and medial olivocochlear reflex (MOCR; efferents) in each ear of the patient, monitoring the middle ear muscle reflex (MEMR) in each ear of the patient, and measuring a change in cochlear activity in the patient based on the CEOAE, MOCR, and MEMR of each ear of the patient.

Some method examples may include pacing a heart with cardiac paces, sensing a physiological signal for use in detecting pace-induced phrenic nerve stimulation, performing a baseline level determination process to identify a baseline level for the sensed physiological signal, and detecting pace-induced phrenic nerve stimulation using the sensed physiological signal and the calculated baseline level. Detecting pace-induced phrenic nerve stimulation may include sampling the sensed physiological signal during each of a plurality of cardiac cycles to provide sampled signals and calculating the baseline level for the physiological signal using the sampled signals. Sampling the sensed physiological signal may include sampling the signal during a time window defined using a pace time with each of the cardiac cycles to avoid cardiac components and phrenic nerve stimulation components in the sampled signal.

Generator systems and methods are provided for generating a neuromuscular-to-motion decoder from a healthy limb. The generator system is configured to receive neuromuscular signals from neuromuscular sensors associated to predefined muscle/nerve locations of at least one pair of agonist and antagonist muscles/nerves of the healthy limb, obtained during performance by the person of a predefined exercise (defined by predefined exercise data) with the healthy limb; to receive motion signals from motion sensors associated to predefined positions of the healthy limb, during performance by the person of the predefined exercise with the healthy limb; and to generate the neuromuscular-to-motion decoder by mapping the neuromuscular signals to the motion signals over time using a mapping method. Rehabilitation systems are also provided for rehabilitating a paretic limb by using a neuromuscular-to-motion decoder produced by a generator system.

Systems and methods for enhancing diagnostic evoked potential recordings of a nerve or nerve pathway of interest. A grid array of stimulating electrodes are placed on, over, or through skin in a location beneath which a nerve or nerve pathway is suspected to lie. A stimulator controls the grid array, where each electrode is independently controllable as active or inactive, as a cathode or anode, etc. A plurality of recording electrodes may record Somato-Sensory Evoked Potentials (SSEPs) and/or Transcranial Electrical Motor Evoked Potentials (TCeMEP) in response to activation of the stimulating electrodes. A processor controls stimulating the stimulating electrodes, and receives responses from the recording electrodes, in a general search mode and a focused search mode in order to use a minimum stimulation intensity at which a maximum response amplitude is detected to continually stimulate the nerve or the nerve pathway.