Assessment of the physiological state during gait with metrorhythmic stimulations

• Autorzy: Mańka Anna , Romaniszyn-Kania Patrycja , Bugdol Monika N. , Nowakowska-Lipiec Katarzyna , Michnik Robert , Mitas Andrzej

Warianty tytułu

PL

Ocena stanu fizjologicznego w czasie chodu z pobudzeniami metrorytmicznymi

• Języki publikacji: EN

Abstrakty

EN

The study aimed to examine the influence of providing information about reacting to the heard musical stimuli while treadmill walking on physiological signals of participants. The study group consisted of 30 adults: group 1 was not informed how to react, group 2 received an instruction to adjust the frequency of steps to the music. The gait was carried out on a Zebris FDM-S treadmill for various sound stimuli using the Empatica E4 band to acquire electrodermal activity and heart rate. Information about moving to the stimuli did not change how the subjects responded physiologically during the test.

PL

Celem badania było sprawdzenie, czy informacje o sposobie reagowania na słyszane bodźce muzyczne podczas chodzenia na bieżni istotnie wpływają na sygnały fizjologiczne uczestników. W badaniu uczestniczyło 30 dorosłych: grupa 1 nie została poinformowana o tym, jak reagować na słyszane dźwięki, grupa 2 otrzymała polecenie dostosowania częstotliwości kroków do muzyki. Chód rejestrowano na bieżni Zebris FDM-S, a do akwizycji sygnałów fizjologicznych wykorzystano opaskę Empatica E4. Informacje o tym, jak reagować na bodźce nie zmieniały sygnałów fizjologicznych u badanych.

Słowa kluczowe

EN

subject monitoring; psychophysiological state; EDA; HR; gait; rhythmic auditory stimulation

PL

monitorowanie pacjenta; stan psychofizjologiczny; EDA; HR; chód; pobudzenie metrorytmiczne

• Wydawca: Katedra Biomechatroniki, Wydział Inżynierii Biomedycznej Politechniki Śląskiej
• Czasopismo: Aktualne Problemy Biomechaniki
• Rocznik: 2021
• Tom: z. 21
• Strony: 25--33
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Mańka Anna

• Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

autor

Romaniszyn-Kania Patrycja

• Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

autor

Bugdol Monika N.

• Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

autor

Nowakowska-Lipiec Katarzyna

• Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

autor

Michnik Robert

• Department of Biomechatronics, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

autor

Mitas Andrzej

• Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

Bibliografia

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