Patent · US12032345B2 · B2 · US
Systems and methods for configuring a brain control interface using data from deployed systems
- (11) Publication number
- US12032345B2
- (21) Application number
- 18/177,573
- (22) Filing date
- 2023-03-02
- (30) Priority date
- 2019-10-29
- (43) Publication date
- 2024-07-09
- (45) Date of grant
- 2024-07-09
- (51) IPC
- G05B 15/02; G06F 3/01
- (52) CPC
- G05B Control or regulating systems in general; functional elements of such systems; monitoring or testing arrangements for such systems or elements: 15/02
- A61B Diagnosis; surgery; identification: 5/0031, 5/4064, 5/6868, 5/7465
- A61N Electrotherapy; magnetotherapy; radiation therapy; ultrasound therapy: 1/0529, 1/36082, 1/37235, 1/37252
- G06F Electric digital data processing: 3/015
- (73) Assignee
- Synchron Australia Pty Ltd
- (72) Inventors
- Thomas James Oxley; Peter Eli YOO
- (54) Title
- Systems and methods for configuring a brain control interface using data from deployed systems
- (57) Abstract
Universal switch modules, universal switches, and methods of using the same are disclosed, including methods of preparing an individual to interface with an electronic device or software. For example, a method is disclosed that can include measuring brain-related signals of the individual to obtain a first sensed brain-related signal when the individual generates a task-irrelevant thought. The method can include transmitting the first sensed brain-related signal to a processing unit. The method can include associating the task-irrelevant thought and the first sensed brain-related signal with N input commands. The method can include compiling the task-irrelevant thought, the first sensed brain-related signal, and the N input commands to an electronic database.
- Full text
- View on Google Patents
Claims (10)
- A method of configuring a patient device control system for a patient, where the patient device control system comprises a patient device and a patient implant that detects a patient's neural activity, the method comprising: establishing a database comprising a plurality of field data from a plurality of deployed device control systems, each deployed device control system from the plurality of deployed device control systems includes an associated user, at least one deployed device, and at least one deployed component that is implanted within a brain of the associated user to detect a neural activity of the associated user, where a respective deployed device control system of the associated user is configured to produce a signal in response to the neural activity of the associated user and uses the signal to allow the associated user to control a respective deployed device of the associated user using the neural activity of the associated user, where the plurality of field data is electronically retrieved from each of the plurality of deployed device control systems and the plurality of field data includes i) an operational parameters from the plurality of deployed device control systems, ii) an operating performance from the plurality of deployed device control systems, and iii) a criteria of the associated user; analyzing the database to determine a plurality of suggested operational parameters based on an acceptable operating performance or a pre-determined user criteria; and providing at least one suggested operational parameter from the plurality of suggested operational parameters based on information from a caregiver regarding the patient, where the information comprises a desired operating performance or a desired patient specific criteria, where the at least one suggested operational parameter enables the patient device control system to control the patient device when implanted in the patient.
- The method of claim 1, wherein the patient device comprises a vascular stent having a plurality of electrodes, and where the patient device is implanted within a brain of the patient.
- The method of claim 1, wherein electronically retrieving the plurality of field data comprises retrieving the plurality of field data repeatedly over a period of time.
- The method of claim 1, wherein electronically retrieving the plurality of field data comprises passively retrieving the plurality of field data from the associated user.
- The method of claim 1, wherein the desired patient specific criteria includes criteria selected from a group consisting of age, gender, physical condition, device, geographical location, climate, and a medical condition.
- The method of claim 1, wherein the criteria of the associated user includes criteria selected from a group consisting of an age of the associated user, a gender of the associated user, a physical condition of the associated user, a geographical location of the associated user, a climate near the associated user, the patient device, and a medical condition of the associated user.
- The method of claim 1, wherein the desired operating performance comprises a low error rate when controlling the patient device.
- The method of claim 1, where electronically retrieving the plurality of field data comprises electronically retrieving the plurality of field data from a home or a residence of the associated user.
- The method of claim 1, wherein providing at least one suggested operational parameter from the plurality of suggested operational parameters occurs repeatedly over a period of time.
- The method of claim 1, wherein the plurality of suggested operational parameters includes current, voltage, and response time.
Description
This disclosure relates generally to methods of using neural-related signals and more particularly to methods of using neural signals as universal switches.
Currently for brain computer interfaces (BCIs), users are asked to either perform a task-relevant mental task to perform a given target task (e.g., try moving a cursor when the target task is to move a cursor) or are asked to perform a task-irrelevant mental task to perform a given target task (e.g., try moving your hand to move a cursor to the right). Furthermore, current BCIs only allow users to use the thought (e.g., the task-relevant mental task or the task-irrelevant mental task) to control a pre-defined target task that is set by the researcher. This disclosure describes novel methods and systems that prepare and allow BCI users to utilize a given task-irrelevant thought to independently control a variety of end-applications, including software and devices. In addition, by enabling a BCI user to control any pre-defined target task also allows for systemic improvement of the brain control system since data can be compiled from a number of individual users where the data relates to parameters that are desirable for a desired operating performance or a desired patient specific criteria. Compiling such data allows for further identification of any number of sets of suggested operational parameters that assists in obtaining acceptable operating performance or any pre-determined user criteria. These sets of suggested operational parameters can then be provided to medical caregivers (or system technicians) to improve outcomes for existing and/or new users of the BCI.
Citations (152)
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Record as JSON
{
"publication_number": "US12032345B2",
"country": "US",
"kind": "B2",
"title": "Systems and methods for configuring a brain control interface using data from deployed systems",
"abstract": "Universal switch modules, universal switches, and methods of using the same are disclosed, including methods of preparing an individual to interface with an electronic device or software. For example, a method is disclosed that can include measuring brain-related signals of the individual to obtain a first sensed brain-related signal when the individual generates a task-irrelevant thought. The method can include transmitting the first sensed brain-related signal to a processing unit. The method can include associating the task-irrelevant thought and the first sensed brain-related signal with N input commands. The method can include compiling the task-irrelevant thought, the first sensed brain-related signal, and the N input commands to an electronic database.",
"claims": [
"1. A method of configuring a patient device control system for a patient, where the patient device control system comprises a patient device and a patient implant that detects a patient's neural activity, the method comprising: establishing a database comprising a plurality of field data from a plurality of deployed device control systems, each deployed device control system from the plurality of deployed device control systems includes an associated user, at least one deployed device, and at least one deployed component that is implanted within a brain of the associated user to detect a neural activity of the associated user, where a respective deployed device control system of the associated user is configured to produce a signal in response to the neural activity of the associated user and uses the signal to allow the associated user to control a respective deployed device of the associated user using the neural activity of the associated user, where the plurality of field data is electronically retrieved from each of the plurality of deployed device control systems and the plurality of field data includes i) an operational parameters from the plurality of deployed device control systems, ii) an operating performance from the plurality of deployed device control systems, and iii) a criteria of the associated user; analyzing the database to determine a plurality of suggested operational parameters based on an acceptable operating performance or a pre-determined user criteria; and providing at least one suggested operational parameter from the plurality of suggested operational parameters based on information from a caregiver regarding the patient, where the information comprises a desired operating performance or a desired patient specific criteria, where the at least one suggested operational parameter enables the patient device control system to control the patient device when implanted in the patient.",
"2. The method of claim 1, wherein the patient device comprises a vascular stent having a plurality of electrodes, and where the patient device is implanted within a brain of the patient.",
"3. The method of claim 1, wherein electronically retrieving the plurality of field data comprises retrieving the plurality of field data repeatedly over a period of time.",
"4. The method of claim 1, wherein electronically retrieving the plurality of field data comprises passively retrieving the plurality of field data from the associated user.",
"5. The method of claim 1, wherein the desired patient specific criteria includes criteria selected from a group consisting of age, gender, physical condition, device, geographical location, climate, and a medical condition.",
"6. The method of claim 1, wherein the criteria of the associated user includes criteria selected from a group consisting of an age of the associated user, a gender of the associated user, a physical condition of the associated user, a geographical location of the associated user, a climate near the associated user, the patient device, and a medical condition of the associated user.",
"7. The method of claim 1, wherein the desired operating performance comprises a low error rate when controlling the patient device.",
"8. The method of claim 1, where electronically retrieving the plurality of field data comprises electronically retrieving the plurality of field data from a home or a residence of the associated user.",
"9. The method of claim 1, wherein providing at least one suggested operational parameter from the plurality of suggested operational parameters occurs repeatedly over a period of time.",
"10. The method of claim 1, wherein the plurality of suggested operational parameters includes current, voltage, and response time."
],
"description_excerpt": "This disclosure relates generally to methods of using neural-related signals and more particularly to methods of using neural signals as universal switches.\n\nCurrently for brain computer interfaces (BCIs), users are asked to either perform a task-relevant mental task to perform a given target task (e.g., try moving a cursor when the target task is to move a cursor) or are asked to perform a task-irrelevant mental task to perform a given target task (e.g., try moving your hand to move a cursor to the right). Furthermore, current BCIs only allow users to use the thought (e.g., the task-relevant mental task or the task-irrelevant mental task) to control a pre-defined target task that is set by the researcher. This disclosure describes novel methods and systems that prepare and allow BCI users to utilize a given task-irrelevant thought to independently control a variety of end-applications, including software and devices. In addition, by enabling a BCI user to control any pre-defined target task also allows for systemic improvement of the brain control system since data can be compiled from a number of individual users where the data relates to parameters that are desirable for a desired operating performance or a desired patient specific criteria. Compiling such data allows for further identification of any number of sets of suggested operational parameters that assists in obtaining acceptable operating performance or any pre-determined user criteria. These sets of suggested operational parameters can then be provided to medical caregivers (or system technicians) to improve outcomes for existing and/or new users of the BCI.",
"cpc": [
"G05B 15/02",
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"A61B 5/4064",
"A61B 5/6868",
"A61B 5/7465",
"A61N 1/0529",
"A61N 1/36082",
"A61N 1/37235",
"A61N 1/37252",
"G06F 3/015"
],
"ipc": [
"G05B 15/02",
"G06F 3/01"
],
"assignees": [
"Synchron Australia Pty Ltd"
],
"inventors": [
"Thomas James Oxley",
"Peter Eli YOO"
],
"filing_date": "2023-03-02",
"publication_date": "2024-07-09",
"grant_date": "2024-07-09",
"priority_date": "2019-10-29",
"application_number": "US-202318177573-A",
"family_id": "75715470",
"cited_by_count": 7,
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