Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A FNIRS Data Processing Method Based on Deception in Different Situations

A technology of data processing and behavior, which is applied in the fields of psychological devices, medical science, and spectral diagnosis, etc., can solve the problems of few applications and no references, and achieve the effect of wide application prospects

Active Publication Date: 2021-03-16
SICHUAN UNIV
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

We have made considerable efforts to obtain data, text or information on fNIRS power analysis exploring brain functional activity, and it turns out that this is a seldom applied and few references are available

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A FNIRS Data Processing Method Based on Deception in Different Situations
  • A FNIRS Data Processing Method Based on Deception in Different Situations
  • A FNIRS Data Processing Method Based on Deception in Different Situations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Embodiment 1: see Figure 1-Figure 2b , a fNIRS data processing method based on deceptive behavior in different situations, including the following steps:

[0053] (1) Using brain fNIRS to collect behavioral experimental data of subjects:

[0054] Using a multi-channel fNIRS imaging system, a total of Q subjects were collected the deceptive behavior experiment data in the spontaneous state and the deceptive behavior experiment data in the controlled state;

[0055] (2) For the kth subject, k=1, 2..., Q, extract the fNIRS signal of each channel under different experimental conditions and carry out band-pass filtering, and HbO in the filtered fNIRS signal 2 The signal is segmented and averaged according to the experimental test trial, and the HbO after the segmental average of each channel is obtained 2 Data sequence x(n), n=1, 2..., N, N is the number of data points of trial;

[0056] (3) Calculate the Welch power spectrum of each channel x(n);

[0057] (4) Using the...

Embodiment 2

[0074] Example 2: see Figure 1 to Figure 7 , in order to better illustrate the method of the present invention, we recruited 25 subjects to carry out the experiment, including the following steps:

[0075] (1) Using brain fNIRS to collect honest behavioral experimental data of subjects, the experimental setting conditions are as follows:

[0076] (11) About the subjects:

[0077] The experiment recruited 25 participants, including 14 females and 11 males; aged between 19-22 years old; we took these 25 people as experimental subjects.

[0078] (12) Behavioral experiment tasks and process design:

[0079] The employed experimental paradigm consisted of two components: one involving spontaneous lying behavior and the other involving deception in a controlled situation. Spontaneous deception experiment behavior block contains 40 event-related trials, which are the smallest unit of psychological experiments, from stimulus initiation to response. The controlled experiment behav...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fNIRS data processing method based on deceptive behaviors in different situations. The fNIRS signals of subjects' spontaneous and controlled deceptive behaviors are collected for band-pass filtering, and the HbO data in the filtered fNIRS signals are segmented according to trials. Calculate the Welch power spectrum after averaging, then calculate the power of each channel and normalize the power, then perform statistical detection on the standardized power, and use the detection results to identify the difference in neural activity between deception and honesty under different conditions. The present invention proposes a method for detecting differences in brain activity between deceitful and honest brain regions using the normalized power of fNIRS signals. The normalized power generated by this model is used to quantify the energy of brain activity, which can be used as a scale for fNIRS to detect deceptive behavior neural activity. The proposed method for processing fNIRS data provides us with a new tool for identifying spoofed brain activity changes using fNIRS.

Description

technical field [0001] The invention relates to a data processing method of photoelectric signals, in particular to a fNIRS data processing method based on deception in different situations. Background technique [0002] Lying / cheating is a ubiquitous social and psychological phenomenon involving mental activities such as cognition, memory, thinking and imagination. So far, many efforts have been made to reveal the neurophysiological mechanism of deception. For example: EEG, ERP, fMRI, fNIRS and various data analysis methods have been used to reveal the neural mechanism of lying / deception behavior. However, the neural mechanism of lying is still not fully understood, and related data analysis methods also need to be improved and developed. [0003] Due to the poor spatial resolution of EEG / ERP, researchers were unable to better understand the brain regions associated with lying / deception until the advent of fMRI. Compared to fMRI, fNIRS can be operated in a lightweight, c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/16
CPCA61B5/0075A61B5/164A61B5/7225A61B2576/026
Inventor 张江林晓虹
Owner SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com