@inproceedings{540bd4ba3a144f278ffc9b7943e9ab47,
title = "Design of Fuzzy Logic Control in Functional Electrical Stimulation (FES) Cycling Exercise for Stroke Patients",
abstract = "Weakness in muscle due its inability to conduct activities are often happened in stroke patients. Physiotherapy can be used to prevent this weakness, one of them is utilizing Functional Electrical Stimulation (FES). In this paper, fuzzy logic is designed to control the pulse width of FES to assist muscle in producing cycling movement as form of exercise for stroke patients. Monitoring of heart rate and oxygen saturation during exercise were also added. The designed system could produce crank speed output closed to desired output of 20 rpm with error of-0.739 rpm and pulse width output closed to desired output of 200 \mu \mathrm{s} with error of 1.824 \mu \mathrm{s}. The desired values were selected based on subject's crank ability and FES characteristics. Monitoring of heart rate and oxygen saturation shows insignificant result compared to relax state indicating that the workload from exercise is acceptable. Error reduction of controller and performance improvement or utilization of different parameter in monitoring could be done for next plan development.",
keywords = "FES, FES cycling, Stroke",
author = "Pandiangan, {Rizky Mayardiyah Syafitri} and Achmad Arifin and Andra Risciawan and Baki, {Siti Halimah} and Rudy Dikairono",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 ; Conference date: 17-11-2020 Through 18-11-2020",
year = "2020",
month = nov,
day = "17",
doi = "10.1109/CENIM51130.2020.9298013",
language = "English",
series = "CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "23--28",
booktitle = "CENIM 2020 - Proceeding",
address = "United States",
}