scholarly journals EEG-Based Driving Fatigue Alleviation Using Multi-Acupoint Electrical Stimulation Combine Music Conditioning Method

2021 ◽  
Author(s):  
Fuwang Wang ◽  
Xiaogang Kang ◽  
Bin Lu ◽  
Hao Wang ◽  
Rongrong Fu
Keyword(s):  
Electrical Stimulation ◽  
Power Spectrum ◽  
Brain Activity ◽  
Acupuncture Points ◽  
Relative Power ◽  
Driving Fatigue ◽  
Spectrum Ratio ◽  
Fatigue Detection ◽  
Activity Information ◽  
Over Time

Abstract In the present work, we propose the multi-acupoint electrical stimulation (stimulating the Láogóng point (劳宫PC8) and acupuncture points on waist, shoulders, buttocks of the human body) combined with music conditioning (MESCMC) to alleviate driving fatigue. In our study, the complexity of α and β rhythms of EEG of the drivers, the relative power spectrum of θ and β, as well as two relative power spectrum ratio θ/β and (θ+α)/(α+β) are used as fatigue features during driving. The features of the complexity, which can effectively reflect brain activity information, were used to detect the change of driving fatigue over time. Combined with the traditional relative power spectrum features, the changes in driving fatigue features were comprehensively analyzed. The results show that the MESCMC method can effectively alleviate the mental fatigue of drivers. Besides, compared with the single-acupoint electrical stimulation[only stimulating the Láogóng point (劳宫PC8)] (SES) method, the MESCMC method is more effective in relieving driving fatigue.The mitigation equipment is low in cost and practical, and the MESCMC method is individualized and improves the universality of driving fatigue detection and relieve, so will be practical to use in actual driving situations in the future.

scholarly journals Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4883 ◽  
Author(s):  
Wang ◽  
Xu ◽  
Fu
Keyword(s):  
Traffic Safety ◽  
Brain Activity ◽  
Brain Network ◽  
Response Mode ◽  
Driver Fatigue ◽  
Movement Characteristics ◽  
Driving Fatigue ◽  
Fatigue Characteristics ◽  
Activity Information

Rapid and accurate detection of driver fatigue is of great significance to improve traffic safety. In the present work, we propose the man-machine response mode (MRM) to relieve driver fatigue caused by long-term driving. In this paper, the characteristics of the complex brain network, which can effectively reflect brain activity information, were used to detect the change of driving fatigue over time. Combined with the traditional eye movement characteristics and a subjective questionnaire (SQ), the changes in driving fatigue characteristics were comprehensively analyzed. The results show that driving fatigue can be effectively delayed using the MRM. Additionally, the response equipment is low in cost and practical, so it will be practical to use in actual driving situations in the future.

scholarly journals Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Fuwang Wang ◽  
Hong Wang
Keyword(s):  
Electrical Stimulation ◽  
Human Body ◽  
Wavelet Packet ◽  
Mental Fatigue ◽  
Wavelet Packet Decomposition ◽  
Eeg Signals ◽  
Stimulation Method ◽  
Driving Fatigue ◽  
Fatigue Detection ◽  
Electroencephalogram Eeg

Driving fatigue is more likely to bring serious safety trouble to traffic. Therefore, accurately and rapidly detecting driving fatigue state and alleviating fatigue are particularly important. In the present work, the electrical stimulation method stimulating the Láogóng point (劳宫PC8) of human body is proposed, which is used to alleviate the mental fatigue of drivers. The wavelet packet decomposition (WPD) is used to extractθ,α, andβsubbands of drivers’ electroencephalogram (EEG) signals. Performances of the two algorithms (θ+α)/(α+β) andθ/βare also assessed as possible indicators for fatigue detection. Finally, the differences between the drivers with electrical stimulation and normal driving are discussed. It is shown that stimulating the Láogóng point (劳宫PC8) using electrical stimulation method can alleviate driver fatigue effectively during longtime driving.

scholarly journals Power Spectrum Features of Acupoint Bioelectricity Signal

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jingjing Zhang ◽  
Renhuan Yu ◽  
Enlu Zhao ◽  
Quan Zhou ◽  
Shuping Gai
Keyword(s):  
Stainless Steel ◽  
Electrical Stimulation ◽  
Electrical Properties ◽  
Power Spectrum ◽  
Needle Insertion ◽  
Acupuncture Points ◽  
Electrical Signals ◽  
Signed Rank ◽  
Significant Difference ◽  
And Control

Background. Since the 1950s, many studies have been conducted on the electrical properties of acupuncture points (acupoints), especially their bio-resistance characteristics. Results of such studies have been inconclusive due to factors such as sweat gland density and compounding factors of applying electrical stimulation. In this study, a power spectrum instrument was used to assess the power spectrum and power of acupoints and nonacupoints without electrical stimulation. Using such instrumentation, specificity of electrical signals of acupoints was also explored. Methods. Thirty-six subjects (29 females, 7 males) participated in the study. Stainless steel acupuncture needles (diameter 0.35 mm; length 50 mm) were used. Five acupoints were tested: ST 36, SP 6, GB 39, GB 37, and K I9. Four control sites 0.5–1.0 cm adjacent to each acupoint were chosen. After needle insertion into the acupoint and control sites, the needles were attached to the power spectrum instrument to acquire any electrical signals. Acquire signals were analyzed using self-written software. Results. Power spectrum difference between acupoint and nonacupoint signals was 0–2 Hz. Results of t-test or signed rank sum test (α = 0.05) found that electrical signals between acupoints and nonacupoints were markedly different ( P  < 0.05). Conclusion. Acupoint bioelectricity signals are higher than adjacent nonacupoints. The most significant difference is distributed between 0 Hz and 2 Hz.

Cutaneous Electrical Stimulation of Acupuncture Points May Enhance Gastric Myoelectrical Regularity

Digestion ◽  
2002 ◽  
Vol 66 (2) ◽  
pp. 106-111 ◽  
Author(s):  
Chi-Sen Chang ◽  
Jen-Wei Chou ◽  
Chung-Wang Ko ◽  
Chun-Ying Wu ◽  
Gran-Hum Chen
Keyword(s):  
Electrical Stimulation ◽  
Acupuncture Points ◽  
Stimulation Of

scholarly journals A novel real-time driving fatigue detection system based on wireless dry EEG

2018 ◽  
Vol 12 (4) ◽  
pp. 365-376 ◽  
Author(s):  
Hongtao Wang ◽  
Andrei Dragomir ◽  
Nida Itrat Abbasi ◽  
Junhua Li ◽  
Nitish V. Thakor ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Driving Fatigue ◽  
Fatigue Detection

A New Feature Selection Method for Driving Fatigue Detection Using EEG Signals

2021 ◽  
pp. 535-542
Author(s):  
Zaifei Luo ◽  
Yun Zheng ◽  
Yuliang Ma ◽  
Qingshan She ◽  
Mingxu Sun ◽  
...  
Keyword(s):  
Feature Selection ◽  
Feature Selection Method ◽  
Selection Method ◽  
Eeg Signals ◽  
Driving Fatigue ◽  
New Feature ◽  
Fatigue Detection

Transcranial Electrical Stimulation and Recording of Brain Activity using Freestanding Plant‐Based Conducting Polymer Hydrogel Composites

2019 ◽  
Vol 5 (3) ◽  
pp. 1900652 ◽  
Author(s):  
George D. Spyropoulos ◽  
Jeremy Savarin ◽  
Eliot F. Gomez ◽  
Daniel T. Simon ◽  
Magnus Berggren ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Conducting Polymer ◽  
Brain Activity ◽  
Transcranial Electrical Stimulation ◽  
Polymer Hydrogel ◽  
Hydrogel Composites

A Formal Theory of Reflected Appraisals in the Evolution of Power

2011 ◽  
Vol 56 (4) ◽  
pp. 501-529 ◽  
Author(s):  
Noah E. Friedkin
Keyword(s):  
Formal Theory ◽  
State Transitions ◽  
Relative Power ◽  
Social Psychological ◽  
Interpersonal Influences ◽  
Reflected Appraisals ◽  
Power And Control ◽  
Group Members ◽  
And Control ◽  
Over Time

This article investigates the evolution of power with a formal theory that focuses on the influence network through which control of a group’s outcomes emerges via direct and indirect interpersonal influences on group members’ positions on a series of issues over time. Power evolves when individuals’ openness or closure to interpersonal influences correspond with their prior relative control over the group’s issue outcomes. In groups with members who are appraising the relative power of their members over the outcomes of prior issues, a mechanism of “reflected appraisals” will elevate and dampen members’ self-appraisals of their relative power and the amount of influence they accord to others. Across a series of issues over time, this mechanism suffices to generate state transitions of a group’s influence network. The result is an evolution of the group’s influence network such that, with rare exceptions, power becomes concentrated and the preferences of a single leader control the group’s outcomes via intermediaries. A laboratory experiment and a simulation provide support for the theory. The analysis suggests that the evolution of the influence network toward concentrated forms of power and control is generated by fundamental social psychological responses to power and may occur in all enduring social groups whose members are dealing with a lengthy sequence of issues, independent of the conditions of bureaucratic organizations.

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