University of Louisville Research Foundation

California Institute of Technology

University of California

Neurorecovery Technologies, Inc.

Yangsheng Chen

Susan Jill Harkema

Claudia A Angeli

Douglas J Jackson

John F Naber

Robert S Keynton

Yu-Chong Tai

Victor Reggie Edgerton

Yury P Gerasimenko

Joel W Burdick

Roland R Roy

Nicholas A Terrafranca

Mandheerej S Nandra

Thomas Anthony Desautels

Jonathan Hodes

Manikandan Ravi

Steven L Upchurch

Thomas Roussel

Charles S Hubscher

Saliya Kirigeeganage

April N Herrity

Charles Hubscher

Disclosed herein are devices and methods used with neurostimulation therapy for spinal cord injury. More particularly, embodiments of the present invention relate to a sync pulse detector and methods for synchronizing signals from an implanted neurostimulator with measured physiological responses and other data.

Sync pulse detector

The present invention relates to methods for improvement in lower urinary tract function in an individual with neurogenic urological dysfunction through epidural stimulation of the spinal cord. In certain embodiments, the methods comprise applying a pattern of epidural electrical stimulation to the spinal cord of an individual with impaired lower urinary tract under stimulation parameters sufficient to improve the storage of fluid in the bladder, sensations of fullness and/or emptying, detrusor over-activity, high detrusor pressure, voiding the bladder, transitioning from a storage state to a voiding state, and decreasing detrusor-external urethral sphincter dyssynergia. In certain embodiments, additional patterns of epidural electrical stimulation may be applied simultaneously, such as to maintain a normotensive cardiovascular state of the individual.

Methods of for improvement of lower urinary tract function

Patients with spinal cord injuries have benefited from neurostimulation therapy comprising delivery of electrical stimulation to enable or excite neurological responses using an implantable neurostimulator having an electrode array. Dangerous levels of charge are avoided while providing multiple, simultaneous stimulation waveforms by inducing a short in an electrode when a monitored value reaches or exceeds a predetermined threshold.

Methods for neurostimulator pulse overlap control

Neurostimulator devices are described. An example neurostimulator device includes a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord. The neurostimulator device also includes an interface and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the interface and performing a machine learning algorithm on the at least one complex stimulation pattern.

Neurostimulator

Neurostimulator devices are described comprising: a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord; one or more sensors; and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the one or more sensors and performing a machine learning method implementing a Gaussian Process Optimization on the at least one complex stimulation pattern. Methods of use are also described.

Neurostimulator devices using a machine learning method implementing a gaussian process optimization

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Louisville, KY, United States of America

Yangsheng Chen