IP Library Granted Patent US 9,782,585
Granted Patent B2
US 9,782,585 · App. 15/059,095 · Granted Oct 10, 2017

Method and system for providing electrical stimulation to a user

Inventor: Brett Wingeier (San Francisco, CA)
Assignee: Halo Neuro, Inc.
A61N1/36025A61B5/16A61B5/4076A61B5/4836A61B5/0205A61B5/0476A61B5/0488A61B5/0496A61B5/4064A61N1/0456A61N1/0526A61N1/36082A61N1/36103
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Quick Facts
Patent No.
US 9,782,585
App. No.
15/059,095
Granted
Oct 10, 2017
Kind
B2
Abstract

A method for providing electrical stimulation to a user, the method comprising: providing an electrical stimulation device, in communication with a controller, at a head region of the user; with the electrical stimulation device, providing a stimulation treatment having a waveform configured for neuromodulation in the user; with the controller, performing an adjustment to the stimulation treatment, wherein performing the adjustment includes: generating a transformed waveform with application of a transfer function to the waveform, wherein the transfer function scales the waveform and selectively attenuates extreme waveform values while maintaining a frequency characteristic of the waveform in the transformed waveform; and applying the transformed waveform with the electrical stimulation device, thereby modulating the stimulation treatment.

Claims (30)

1. A method for providing electrical stimulation to a user, the method comprising:

providing an electrical stimulation device, in communication with a controller, at a head region of the user;

with the electrical stimulation device, providing a stimulation treatment having a waveform configured for neuromodulation in the user; wherein the waveform comprises a superposed waveform including superposition of two or more of: delta-band, theta-band, alpha-band, gamma-band, and beta-band components;

at the controller, receiving an adjustment to the stimulation treatment, by the user;

in near-real time and in response to the adjustment, generating a transformed waveform with application of a transfer function to the waveform, wherein the transfer function scales the waveform and selectively attenuates extreme waveform values while maintaining a characteristic of the waveform in the transformed waveform; and

applying the transformed waveform with the electrical stimulation device, thereby modulating the stimulation treatment in near-real time.

2. The method of claim 1 , wherein the waveform comprises a band-limited random noise waveform.

3. The method of claim 2 , wherein the band-limited random noise waveform has a frequency band within the range from: 50-700 Hz.

4. The method of claim 1 , wherein the waveform comprises a superposed waveform including superposition of theta-band and gamma-band frequency components.

5. The method of claim 1 , wherein the waveform includes a low-amplitude portion having a first duration and a high-amplitude portion having a second duration.

6. The method of claim 5 , wherein the low-amplitude portion is a segment of a first sinusoidal waveform and the high-amplitude portion is a segment of a second sinusoidal waveform, wherein a P-P value of the second sinusoidal waveform is greater than an RMS value of the first sinusoidal waveform.

7. The method of claim 1 , wherein application of the transfer function includes application of a sigmoidal transfer function to the waveform that scales the waveform and selectively attenuates extreme values and transients in the waveform.

8. The method of claim 7 , wherein the sigmoidal transfer function includes one or more of: an error function, a hyperbolic tangent function, a Gudermannian function, an inverse tangent function, and a logarithmic function.

9. The method of claim 1 , wherein application of the transfer function includes application of a compound transfer function that scales the waveform, applies a sigmoidal transformation to the waveform, and then rescales extreme values of the waveform.

10. The method of claim 9 , wherein the compound transfer function has the form Y=C1·erf(C2·X), where Y is an output, C1 is a current limit of the electrical stimulation device, erf is an error function, C2 is an initial scaling factor, and X is an output of the transfer function.

11. The method of claim 1 , wherein receiving the adjustment includes receiving an input indicative of a desire to increase the current amplitude of the stimulation treatment, the input made by the user at the controller in communication with the electrical stimulation device.

12. The method of claim 1 , further comprising monitoring a biological parameter of the user, and automatically generating the transformed waveform in response to a comparison between the biological parameter and a threshold condition.

13. A method for providing electrical stimulation to a user, the method comprising:

providing an electrical stimulation device, in communication with a controller, at a head region of the user;

with the electrical stimulation device, providing a stimulation treatment having a waveform configured for neuromodulation in the user, wherein the waveform comprises a superposed waveform including superposition of theta-band and gamma-band frequency components; wherein providing the stimulation treatment comprises providing one or more of: direct current (DC) stimulation, alternating current (AC) stimulation, pseudorandom noise stimulation, band-limited random noise stimulation, and stimulation with composite superposed waveforms;

with the controller, performing an adjustment to the stimulation treatment, wherein performing the adjustment includes:

generating a transformed waveform with application of a transfer function to the waveform, wherein the transfer function scales the waveform and selectively attenuates extreme waveform values while maintaining a frequency characteristic of the waveform in the transformed waveform; and

applying the transformed waveform with the electrical stimulation device, thereby modulating the stimulation treatment in near-real time.

14. The method of claim 13 , wherein performing the adjustment includes at least one of: 1) performing the adjustment in near-real time and 2) selecting the adjustment from a set of pre-calculated adjusted waveforms.

15. The method of claim 14 , wherein providing the stimulation treatment comprises providing a variable frequency stimulation treatment.

16. The method of claim 13 , wherein application of the transfer function includes application of a sigmoidal transfer function to the waveform that scales the waveform and selectively attenuates extreme values and transients in the waveform.

17. The method of claim 13 , further comprising monitoring a biological parameter of the user, and automatically generating the transformed waveform in response to a comparison between the biological parameter and a threshold condition.

18. The method of claim 17 , wherein monitoring the biological parameter comprises monitoring one or more of: electroencephalogram signals of the user, cardiovascular signals of the user, and galvanic skin response of the user.

19. The method of claim 13 , wherein providing the stimulation treatment includes providing the stimulation treatment in coordination with provision of a task to the user, and wherein performing the adjustment is in response to receiving an input by the user at the controller to increase a current amplitude of the stimulation treatment.

20. The method of claim 19 , wherein performing the adjustment and applying the transformed waveform increases at least one of focus and working memory of the user, as the user performs the task.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 24, 2022
From: HALO NEURO, INC.
To: HALO (ABC), LLC
Reel/Frame 060309/0273 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 24, 2022
From: HALO (ABC), LLC
To: FLOW NEUROSCIENCE, INC.
Reel/Frame 060309/0638 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 10, 2016
From: WINGEIER, BRETT
To: HALO NEURO, INC.
Reel/Frame 037943/0400 →
Continuity (9)
Continuation In Part 14470747 · Aug 27, 2014
Provisional Application 61870678 · Aug 27, 2013
Provisional Application 61870680 · Aug 27, 2013
Provisional Application 61870682 · Aug 27, 2013
Provisional Application 61870684 · Aug 27, 2013
Provisional Application 61874461 · Sep 6, 2013
Provisional Application 61889169 · Oct 10, 2013
Provisional Application 62127708 · Mar 3, 2015
Related Publication 20160175589A1 · Jun 23, 2016