Biological feedback system and operation method thereof

A biofeedback and physiological technology, applied in the field of biofeedback systems, can solve problems such as blind spots in interpretation, ineffective functions of health aids, and ignorance of measurement process information

Inactive Publication Date: 2016-10-12
THINK LEADER CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Static physiological detection methods lack observation and ignore the information of the measurement process. Oversimplified static data and flat images may easily cause blind spots in interpretation.
[0004] In the field of sub-health, this kind of health or physiological test report obtained by ignoring the time factor can only inform the user of the result one-way, and cannot achieve the health management purpose of real-time feedback and real-time adjustment
[0005] For automated health equipment, the test results cannot be used as a basis for adjusting the strength or mode of the equipment, so that the functions of health aids cannot be effectively exerted

Method used

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  • Biological feedback system and operation method thereof
  • Biological feedback system and operation method thereof
  • Biological feedback system and operation method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Embodiment 1 takes heart rhythm variation analysis as an example to illustrate how the present invention utilizes process information to solve errors caused by ignoring time sequence in traditional static data and 2D images. Table 4 below shows the RRI samples of a first user A and a second user B. The two sets of sample values ​​are exactly the same, only the order is different.

[0065] Table 4: Samples of physiological signals between heartbeats of the first user A and the second user B

[0066] A

725

748

743

779

795

788

805

822

821

830

815

842

860

882

856

B

779

795

815

743

860

805

748

882

725

830

822

856

788

842

821

[0067] Please refer to Fig. 2 (a) and Fig. 2 (b) simultaneously, Fig. 2 (a) is the schematic diagram of traditional heartbeat interval scatter diagram; Fig. 2 (b) is the heartbeat interval scatter diagram after using the present invention to ...

Embodiment 2

[0073] This embodiment 2 takes the heart rhythm variation analysis as an example to illustrate how the present invention applies biofeedback, stream-guided execution module 5 with a display device as a training aid.

[0074] Please refer to image 3 , image 3 It is a schematic diagram of the present invention applied to yoga teaching and autonomic nerve detection. Such as image 3 As shown, the coach C, the first learner L1 and the second learner L2 all wear attached or wearable sensing devices, that is, the detection module 1 .

[0075] The detection module 1 can collect in real time the original signal streams generated by the current coach C, the first learner L1 and the second learner L2 due to yoga exercises and changes in their autonomic nerve activity, and transmit the original signals to the database 2 for storage. , and parse them together in parsing module 3. The analyzed raw signal will be converted into a physiological signal and sent to the analysis control m...

Embodiment 3

[0081] Embodiment 3 takes brainwave detection as an example to illustrate how the present invention uses long-term monitoring and original signal recording as a diagnostic tool.

[0082] This embodiment is for users with chronic insomnia. The detection module 1 is a wearable device, which can monitor the brainwave signal of the user for a long time when worn on the user, and the database 2 can record the brainwave signal. The execution module 5 can simultaneously display the dynamic brain wave D in FIG. 4(a) and the dynamic power spectrum density graph AS in FIG.

[0083] When a person is in different sleep states, the power spectrum density map reflected by the brain wave will show different appearances. As shown in Figure 4(b), when the user is in the non-sleep state S1, the light sleep state S2, and the deep sleep state S3, the area of ​​the frequency region corresponding to the α, β, γ, θ and δ waves in the brain wave Significantly different. By observing the dynamic po...

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Abstract

The invention provides a biological feedback system and an operation method thereof. A series flow technology is adopted, physiological signals are analyzed in real time and are fed back to operation equipment or display equipment (devices for short) in real time so as to enable the devices to carry out reaction or adjustment in real time according to fed information. By means of the forward circulation of continuous feeding and adjustment, the user is helped to gradually achieve a health target, and the health value of physiological detection is improved.

Description

【Technical field】 [0001] The present invention relates to a biofeedback system and its operating method, in particular to a biofeedback system and its operating method which use stream technology to analyze physiological signals in real time, convert them into control instructions, and feed back to users or devices in real time. 【Background technique】 [0002] In traditional physiological testing, users get static result charts. However, in fact, physiological status is changing all the time, such as heart rate, blood pressure or nerve activity, etc., will be affected by various external environments, day and night. , diet, work and rest, disease or psychological factors. [0003] Static physiological detection methods lack observation and ignore the information of the measurement process. Oversimplified static data and flat images may easily cause blind spots in interpretation. [0004] In the field of sub-health, this kind of health or physiological test report obtained b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0476A61B5/0488A61B5/0496
Inventor 徐建伟林俪宸
Owner THINK LEADER CO LTD
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