IP Library Granted Patent US 12,427,312
Granted Patent B2
US 12,427,312 · App. 17/987,357 · Granted Sep 30, 2025

Transcranial stimulation device and method based on electrophysiological testing

Inventor: David W Hagedorn (Jacksonville, NC)
Assignee: FIREFLY NEUROSCIENCE, INC.
A61N1/36025A61B5/0006A61B5/291A61B5/375A61B5/377A61B5/6803A61N1/36014A61N1/36031A61N1/37247A61N2/006A61N2/02A61N1/0484
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Quick Facts
Patent No.
US 12,427,312
App. No.
17/987,357
Granted
Sep 30, 2025
Kind
B2
Abstract

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

Claims (19)

1. A neuromodulation therapy method comprising:

receiving brain value measurements relating to a patient, the brain value measurements acquired using at least one electrode disposed external to the patient within a headgear wearable by the patient, wherein the brain value measurements include first electrophysiological values obtained from a brain of the patient;

electronically analyzing the brain value measurements relative to reference data associated with existing patient data and reference database data;

based thereon, electronically determining, using at least one processing device, a brain malady and a severity value, for the patient;

electronically generating a treatment protocol for the patient, the treatment protocol including neurostimulation to the patient; and

transmitting at least a portion of the treatment protocol to the headgear, the neurostimulation includes applying a transcranial stimulation via the headgear to the patient based at least on the treatment protocol.

2. The method of claim 1 further comprising:

after applying the transcranial stimulation to the patient, acquiring secondary brain value measurements;

electronically analyzing the secondary brain value measurements in reference to the reference data; and

electronically determining a change value for the patient relative to the brain malady and severity value.

3. The method of claim 2 further comprising:

generating an updated treatment protocol for the patient based on the electronic analysis of the secondary brain value measurements.

4. The method of claim 1 , where the generating of the treatment protocol is based at least on the brain malady and the severity value, wherein the treatment protocol includes a voltage strength level, a duration, and position factors for one or more transcranial sensors providing the neurostimulation to the patient.

5. The method of claim 1 , wherein the at least one electrode disposed external to the brain of the patient includes at least one EEG electrode.

6. The method of claim 1 , wherein the brain malady includes at least one of: Alzheimer's, dementia, depression, mild cognitive impairment, and subjective cognitive impairment.

7. The method of claim 6 , wherein the severity value assesses an accuracy level of the brain malady of the patient.

8. The method of claim 1 , wherein the electronic analysis of the brain value measurements includes using source localization models to isolate voxels within a brain of the patient to detect at least one region of the brain of the patient affected by the brain malady.

9. The method of claim 8 , wherein the electronic analysis includes referencing at least one brain mapping library.

10. The method of claim 1 , wherein the reference data is generated based on machine learning processing operations and deep learning processing operations executed within at least one neural network.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2025
From: FIREFLY NEUROSCIENCE, INC.
To: FIREFLY NEUROSCIENCE 2023, INC.
Reel/Frame 072956/0703 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 20, 2025
From: EVOKE NEUROSCIENCE, INC.
To: FIREFLY NEUROSCIENCE, INC.
Reel/Frame 072066/0976 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 18, 2023
From: HAGEDORN, DAVID W
To: EVOKE NEUROSCIENCE, INC.
Reel/Frame 064935/0828 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 15, 2022
From: HAGEDORN, DAVID W
To: EVOKE NEUROSCIENCE, INC.
Reel/Frame 061777/0472 →
Continuity (11)
Continuation 17675905 · Feb 18, 2022
Continuation 17463606 · Sep 1, 2021
Continuation In Part 16914022 · Jun 26, 2020
Continuation 14578764 · Dec 22, 2014
Continuation 14531012 · Nov 3, 2014
Continuation In Part 14458673 · Aug 13, 2014
Continuation In Part 13742066 · Jan 15, 2013
Continuation 13543204 · Jul 6, 2012
Continuation 12979419 · Dec 28, 2010
Provisional Application 61292791 · Jan 6, 2010
Related Publication 20230082594A1 · Mar 16, 2023
References Cited (4)
US 20070162086A1 · DiLorenzo · 2007 [cited by examiner]
US 20150112409A1 · Hagedorn · 2015 [cited by examiner]
US 20200388397A1 · Shoaran · 2020 [cited by examiner]
US 20210353224A1 · Etkin · 2021 [cited by examiner]