Literature DB >> 31796717

Decoding of the relationship between human brain activity and walking paths.

Shahul Mujib Kamal1, Sue Sim1, Rui Tee2, Visvamba Nathan1, Erfan Aghasian3, Hamidreza Namazi1,4.   

Abstract

The human brain controls all actions of the body. Walking is one of the most important actions that deals with the movement of the body. In fact, the brain controls and regulates human walking based on different conditions. One of the conditions that affects human walking is the complexity of path of movement. Therefore, the brain activity should change when a person walks in a path with different complexities. In this research we benefit from fractal analysis to study the effect of complexity of path of movement on the complexity of human brain reaction. For this purpose we calculate fractal dimension of electroencephalography (EEG) signal when subjects walk on different paths with different fractal dimensions (complexity). The results of the analysis show that the complexity of brain activity increases with the increment of complexity of path of movement. The method of analysis employed in this research can also be employed to analyse the reaction of the human heart and respiration when subjects move on paths with different complexities.

Entities:  

Keywords:  Human brain; complexity; electroencephalography (EEG) signal; fractal dimension; walking path

Year:  2019        PMID: 31796717     DOI: 10.3233/THC-191965

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  2 in total

1.  Physiological State and Learning Ability of Students in Normal and Virtual Reality Conditions: Complexity-Based Analysis.

Authors:  Mohammad H Babini; Vladimir V Kulish; Hamidreza Namazi
Journal:  J Med Internet Res       Date:  2020-06-01       Impact factor: 5.428

2.  Complexity-Based Decoding of the Coupling Among Heart Rate Variability (HRV) and Walking Path.

Authors:  Shahul Mujib Kamal; Mohammad Hossein Babini; Ondrej Krejcar; Hamidreza Namazi
Journal:  Front Physiol       Date:  2020-11-25       Impact factor: 4.566

  2 in total

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