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Adaptive systems for deriving control signals from neuromuscular activity measurements

A technique of neuromuscular, control signaling applied to a muscle or field to achieve low cost, less invasive treatment, less equivalent control

Active Publication Date: 2022-04-29
CTRL LABS CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Neuromuscular signals are provided as a front end to an adaptive control system to control the device

Method used

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  • Adaptive systems for deriving control signals from neuromuscular activity measurements
  • Adaptive systems for deriving control signals from neuromuscular activity measurements
  • Adaptive systems for deriving control signals from neuromuscular activity measurements

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Embodiment Construction

[0023] Some traditional BCIs record brain (eg, cortex) signals and map the recorded brain signals to corresponding control signals to control prosthetics and make the prosthetic device perform movements. While such brain-computer interface technologies are useful for enabling patients to self-control prosthetic devices using the patient's own brain signals, implementing them is very invasive because they require direct access to cortical neurons in the brain to record for providing control Signal biosignature. The inventors have recognized and appreciated that biophysical signals corresponding to the user's motion can be measured by using multiple sensors worn by the user (e.g., EMG sensors), and mapping the motion information recorded by the sensors to control devices for controlling signals to improve traditional control interfaces.

[0024] figure 1 Components of a system are shown that map signals recorded from sensors 102 worn by a user 101 to control signals that are t...

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Abstract

Methods and apparatus for adjusting a control map that correlates sensor signals with control signals for controlling operation of a device. The method includes: obtaining first state information of device operation; providing the first state information as input to an intention model associated with the device operation and obtaining a corresponding first intention model output; combining a plurality of neuromuscular signals recorded from a user and / or providing signals derived from neuromuscular signals as inputs to the first control map and obtaining corresponding first control map outputs; and updating the first control map using the inputs provided to the first control map and the first intention model output to obtain the second control map.

Description

[0001] Cross References to Related Applications [0002] This application is based on 35 U.S.C. §119(e) requirements filed on July 25, 2016 entitled "ADAPTIVE SYSTEM FOR DERIVING CONTROL SIGNALS FROM MEASUREMENTS OF MUSCLE OR MOTOR UNIT ACTIVITY), U.S. Provisional Patent Application No. 62 / 366,427, which is hereby incorporated by reference in its entirety. Background technique [0003] Technology exists to control computer systems through wireless myoelectric user interfaces. In one such method, the user wears a strap sized to fit around the user's forearm or wrist. The strap includes myoelectric sensors arranged to detect hand and / or finger gestures by sensing muscle activity of the user. Typically, a wearable strap includes processing capabilities that receive sensed signals and convert them into electronic control signals that are then transmitted (wirelessly or otherwise) to the device being controlled, e.g., a computer, some other portable Electronic devices, applicati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/389A61B5/296A61B5/256
CPCA61B5/681A61F2/72A61B5/389A61B5/296G06F3/015G06F3/014A61B5/316A61B5/378A61B5/30A61B5/38A61B5/1106
Inventor P·凯福什T·马查多T·里尔登E·朔姆堡J·玛瑞尔S·德默斯
Owner CTRL LABS CORP
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