The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 29, 2022
Filed:
Nov. 14, 2017
The Regents of the University of California, Oakland, CA (US);
U.s. Government Represented BY the Department of Veterans Affairs, Washington, DC (US);
Lightside Md, Llc, Los Altos, CA (US);
Karunesh Ganguly, San Francisco, CA (US);
Adelyn Tsu, San Francisco, CA (US);
Nikhilesh Natraj, San Francisco, CA (US);
Gabriel Philip Howles-Banerji, Oakland, CA (US);
Rajiv Doshi, Los Altos, CA (US);
Kondapavulur T. Venkateswara-Rao, San Jose, CA (US);
The Regents of the University of California, Oakland, CA (US);
U.S. Government Represented by the Department of Veterans Affairs, Washington, DC (US);
LightSide MD, LLC, Los Altos, CA (US);
Abstract
Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor function (hand, finger and limb movement) in patients rehabilitating from neurological deficits and impairments caused by stroke, traumatic brain injury and other neurologic or non-neurologic conditions. These apparatuses and methods may be used for physical training and mental training (to improve memory and functional performance including motor coordination, limb-eye coordination, occupational and recreational skills) through periodic or sustained sensory electrical stimulation. Treatment plans may be based on biomarkers and may be used alone or in combination with other apparatuses. Learning and feedback techniques individualize treatment parameters depending on the subject's neurologic and motor function in diseased patients and healthy users.