IP Library › Granted Patent US 10,512,555
Granted Patent B2
US 10,512,555 · App. 16/054,657 · Granted Dec 24, 2019

Medical device for sensing and or stimulating tissue

Inventors: Sam Emmanuel John (Parkville, AU); Nicholas Lachlan Opie (Parkville, AU); Thomas James Oxley (New York, NY)
A61F2/68A61B5/04001A61B5/4851A61B5/6862A61B5/6868A61B5/6876A61F2/72A61F2/86A61N1/36003A61B5/0478A61B2562/227A61F2002/6827A61F2002/705A61F2250/0002A61N1/0531A61N1/0534A61N1/0536A61N1/36067A61N1/36078A61N1/36085A61N1/36089A61N1/36096A61N1/36178
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Quick Facts
Patent No.
US 10,512,555
App. No.
16/054,657
Granted
Dec 24, 2019
Kind
B2
Abstract

Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal, for stimulating and/or sensing activity of media proximal to the device, wherein the media includes tissue and/or fluid.

Claims (22)

1. A method of controlling an apparatus in communication with a brain machine interface, the method comprising:

measuring a first neural activity in a first neural area, where the first neural activity is associated with a first intent to control the apparatus, where measuring the first neural activity comprises using a first sensor of the brain machine interface;

measuring a second neural activity in a second neural area using a second sensor of the brain machine interface;

receiving, via a processor in wired or wireless communication with the brain machine interface, the first neural activity and the second neural activity;

processing, via the processor, the received first neural activity and the second neural activity;

creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent;

determining, via the processor, a desired parameter of the apparatus from a signal received from a sensor of the apparatus;

calculating, via the processor, a control correlation between the measured first neural activity and the desired parameter; and

adjusting, via the processor, a brain machine interface control percentage of the apparatus and an apparatus control percentage of the apparatus upon determining the control correlation is below a predetermined error,

where the brain machine interface control percentage is the percentage control of the apparatus via signals detected by the first and second sensors of the brain machine interface, and where the apparatus control percentage of the apparatus is the percentage control of the apparatus via signals detected by the sensor of the apparatus, and

where the adjusting comprises increasing the brain machine interface control percentage and decreasing the apparatus control percentage upon determining the control correlation is below the predetermined error and/or where the adjusting comprises decreasing the brain machine interface control percentage and increasing the apparatus control percentage upon determining the control correlation is above the predetermined error.

2. The method of claim 1 , further comprising:

decoding, via the processor, the first intent from the measured first neural activity; and

decoding, via the processor, a second intent from the measured second neural activity,

where the delivering comprises delivering the one or more first control signals to the apparatus upon confirming that the second intent is associated with the first intent.

3. The method of claim 2 , where decoding the first and second intents comprises referencing previously measured neural activities stored in a memory.

4. The method of claim 1 , further comprising repeating the measuring until at least one of the one or more first control signals is delivered to the apparatus.

5. The method of claim 1 , where the delivering comprises delivering the one or more first control signals to the apparatus to control a first parameter and/or a second parameter of the apparatus.

6. The method of claim 1 , where the first sensor is proximate or in a first neural area and where the second sensor is proximate or in a second neural area.

7. The method of claim 6 , wherein the first and second neural areas are in a brain.

8. The method of claim 1 , where the brain machine interface control percentage is initially 0% to 25% and the apparatus control percentage is initially 75% to 100%, further comprising incrementally increasing the brain machine interface control percentage from an initial percentage of 0% to 25% to a final percentage of 75% to 100%.

9. The method of claim 1 , wherein the brain machine interface control percentage of the apparatus is associated with a user of the apparatus using the brain machine interface such that the brain machine interface is configured to record, via the first or second sensor, brain activity of the user when the user attempts to control the apparatus, and wherein the apparatus control percentage of the apparatus is associated with the apparatus such that the apparatus determines, via an apparatus processor, an estimate of the first parameter.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 19, 2022
From: JOHN, SAM EMMANUEL; OPIE, NICHOLAS LACHLAN; OXLEY, THOMAS JAMES
To: THE UNIVERSITY OF MELBOURNE
Reel/Frame 058774/0083 →
Continuity (3)
Provisional Application 62545875 · Aug 15, 2017
Provisional Application 62540997 · Aug 3, 2017
Related Publication 20190038438A1 · Feb 7, 2019
Cited By (14)
US 12,186,089 US 12,223,106 US 12,248,631 US 12,324,754 US 12,329,969 US 12,333,074 US 12,337,177 US 12,383,416 US 12,455,543 US 12,461,596 US 12,554,326 US 12,558,532 US 12,558,541 US 12,661,510