IP Library Granted Patent US 11,357,432
Granted Patent B2
US 11,357,432 · App. 15/490,230 · Granted Jun 14, 2022

System and method for non-invasively monitoring autonomic nerve activity

Inventor: Peng-Sheng Chen (Indianapolis, IN)
Assignee: INDIANA UNIVERSTTY RESEARCH & TECHNOLOGY CORPORATION
A61B5/24A61B5/05A61B5/4029A61B5/6877A61B5/725A61N1/0456A61N1/0476A61N1/0504A61N1/0551A61N1/36017A61N1/36053A61N1/3627A61N1/36031A61N1/36034A61N1/36592
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Quick Facts
Patent No.
US 11,357,432
App. No.
15/490,230
Filed
Apr 18, 2017
Granted
Jun 14, 2022
Kind
B2
Art Unit
3791
USPC
600/547
Abstract

System and methods for monitoring and/or controlling nerve activity in a subject are provided. In one embodiment, a system includes electrodes configured to be placed proximate to a subject's skin, and a signal detector configured to detect electrical signals using the electrodes. The system also includes a signal processor configured to receive the electrical signals from the signal detector, and apply a filter to the received electrical signals to generate filtered signals, the filter configured to attenuate at least signals having frequencies corresponding to heart muscle activity during a heartbeat. The signal processor is also configured to identify a skin nerve activity using the filtered signals, estimate a sympathetic nerve activity using the identified skin nerve activity, and further to generate a report indicative of the estimated sympathetic nerve activity. In some aspects, the system further includes a signal generator to deliver the electrical stimulation to the subject's skin.

Claims (14)

1. A system for monitoring nerve activity in a subject, the system comprising:

a plurality of electrodes configured for placement at locations proximate to a subject's skin;

a signal detector configured to sample electrical signals detected by the plurality of electrodes; and

a signal processor configured to:

receive signal data corresponding to the electrical signals sampled by the signal detector;

apply a filter to the received signal data to generate filtered signal data, the filter configured to attenuate at least signals having frequencies that correspond to heart muscle activity during a heartbeat, wherein the filter includes a high-pass filter with a cutoff frequency from 500 Hz to 700 Hz;

assemble, using the filtered signal data, a waveform corresponding to a skin nerve activity;

estimate a sympathetic nerve activity using the waveform corresponding to the skin nerve activity and a predetermined correlation, wherein the predetermined correlation relates skin nerve activity and sympathetic nerve activity;

generate a report indicative of the estimated sympathetic nerve activity.

2. The system of claim 1 , wherein the plurality of electrodes are further configured to engage tissues in the subject comprising cutaneous nerves or subcutaneous arrangement nerves, or both.

3. The system of claim 1 , wherein the signal detector further comprises signal amplifiers electrically connected to the plurality of electrodes, which configured to amplify the electrical signals detected to generate amplified signals.

4. The system of claim 1 , wherein the sympathetic nerve activity comprises a stellate ganglion nerve activity.

5. The system of claim 1 , wherein the signal processor is further configured to determine a medical condition of the subject using the estimated sympathetic nerve activity.

6. The system of claim 3 , wherein the signal detector further comprises a sampler configured to generate the signal data at a rate of approximately 10,000 samples per second using the amplified signals.

Assignments (2)
CONFIRMATORY LICENSE Recorded May 17, 2017
From: INDIANA UNIVERSITY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 042482/0117 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 21, 2017
From: CHEN, PENG-SHENG
To: INDIANA UNIVERSITY RESEARCH AND TECHNOLOGY CORPORATION
Reel/Frame 042091/0109 →
Continuity (4)
Continuation PCTUS2015056419 · Oct 20, 2015
Provisional Application 62065854 · Oct 20, 2014
Provisional Application 62158323 · May 7, 2015
Related Publication 20170215752A1 · Aug 3, 2017
Cited By (1)
US 12,440,139