Physiological parameter measurement and feedback system

A physiological parameter and sensing system technology, applied in the field of physiological parameter measurement and feedback system, can solve the problem of signal-to-noise ratio reduction and achieve the effect of reducing the number

Active Publication Date: 2016-05-11
MINDMAZE HLDG SA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to this, not only the signal-to-noise ratio of the acquired signal is reduced, but also the analysis is limited to lower frequencies (typically less than 30 Hz)

Method used

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  • Physiological parameter measurement and feedback system
  • Physiological parameter measurement and feedback system
  • Physiological parameter measurement and feedback system

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0160] Example 1: Operation of system (10) in the exemplary "reach for object" task

[0161] In this particular example, an object 110 such as a 3D disk is displayed to a user in a VR environment 112 . The user is instructed to use his virtual arm 114 to reach for the object. In the first case, the arm 114 is animated based on data from the skeletal tracking module 16 obtained from the sensors of the position / motion detection system 16 . In the second case, where the motion detected by the skeletal tracking module 16 is negligible or no motion is detected, the motion is based on the motion-related motion detected by the physiological parameter sensing system 14 from the physiological parameter processing module 52 data, and in particular, the data may come from EEG sensor 22 and / or EMG sensor 24.

[0162] Figure 7 and 8 a-8g illustrate this process in more detail. exist Figure 7 In Phase 1 of , a user, such as a patient or operator, interfaces with a user input device ...

example 2

[0171] Example 2: Hybrid Brain-Computer Interface with Virtual Reality Feedback Utilizing Head-Mounted Displays, Robotic Systems, and Functional Electrical Stimulation

[0172] Purpose: Provide optimal training to patients with upper body movement disorders caused by neurological problems (eg, ALS, stroke, brain injury, locked-in syndrome, Parkinson's disease, etc.). These patients require training to regain lost / degraded motor function. A system that reads their intention to perform functional movement and provides assistance in accomplishing said movement can enhance rehabilitation outcomes.

[0173] To this end, the system may employ Hebbian learning to associate input and output areas of the brain in terms of reorganizing lost motor function. The Hebbian principle is that "any two systems of cells in the brain that are repeatedly active simultaneously will tend to become 'associated' so that activity in one cellular system promotes activity in the other".

[0174] In t...

example 3

[0211] Example 3: Brain-Computer Interface with Augmented Reality Feedback and Neurostimulation Activated by Motion Data

[0212] Purpose

[0213] The system can provide precise neural stimulation related to actions performed by the patient in the real world, resulting in reinforcement of neural patterns for intentional behavior.

[0214] illustrate

[0215] Use the camera system to capture the user's motion and the motion of the second person and objects in the scene for behavior analysis. Additionally, neural data is recorded with one of the modalities (EEG, ECOG, etc.) synchronized with the IMU data. Video captured from the camera system is interleaved with virtual objects to generate 3D augmented reality feedback, which is presented to the user via a head-mounted display. Finally, the appropriate neurostimulation parameters are generated in the control system and sent to the neurostimulator.

[0216] Due to the delay and jitter between the user's behavior and phy...

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Abstract

Electrical activity of the brain (EEG) and position / motion of a body part, e.g. motion of an arm, are measured. A virtual representation of either the moving body part or the intended movement as determined from the brain activity is presented as feedback to the subject on a display which can be implemented as a head-up display. A clock module is operable to time stamp information transferred from a brain electrical activity sensing system and a position / motion detection system for joint processing. This non-invasive EEG-based brain-computer-interface is particularly useful for stroke rehabilitation.

Description

technical field [0001] The present invention generally relates to systems for measuring physiological parameters of a user in response to stimuli and providing feedback to the user. One of the specific areas of the invention relates to measuring physiological parameters of a user to monitor cortical activity in response to movement of displayed body parts displayed to the user in virtual or augmented reality. The system may be used to treat or assist in recovery from a user's neurological injury and / or neurological disease after the user has experienced a stroke. However, the system can be used for other applications, such as gaming, or learning the motor skills required for sports-related or other activities. Background technique [0002] Cerebrovascular disease is a condition that occurs due to problems with the blood vessels in the brain and can lead to stroke. According to the World Health Organization, approximately 15 million people worldwide suffer from stroke each ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/04A61B5/0402A61B5/0476A61B5/0488A61B5/0496A61B5/01A61B5/11A61B5/08A61B5/145A61B5/00A61B5/375
CPCA61B5/01A61B5/08A61B5/11A61B5/14542A61B5/40A61B5/6802A61B5/6803A61B5/725A61B5/0036A61B5/24A61B5/318A61B5/369A61B5/389A61B5/398A61B5/7285A61B5/743A61B5/744A61B5/7445A61B5/0533A61B5/1114A61B5/1128A61B5/486G02B27/01G06F3/012G06F3/013G06F3/015G02B27/017G02B2027/0138G02B2027/014G02B2027/0187G16H20/30G16H20/70A61B5/375A61B5/378A61B34/30A61B3/113A61B5/0006A61B5/0077A61B5/02055A61B5/14552A61B5/7282A61B5/7425A61B5/7455A61B2562/164
Inventor T·塔迪G·加里派利D·曼尼提N·布尔道德D·派瑞玛科斯
Owner MINDMAZE HLDG SA
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