Robotik Yürüyüş Sırasında Maksimum İstemli Kasılma Aktivitesinin İncelenmesi

Bu çalışmanın amacı, sağlıklı kişilerin ve hastaların robotik yürüyüş sırasında alt ekstremite kas aktivitelerini kinesiyoloji analizi kullanarak incelemektir. Başlangıçta spinal cord injury (SCI) ve inme hastaları gibi 6 paraplejik hastadan, 2 hemiplejik hastadan ve 4 sağlıklı kişiden kas sinyalleri alındı. Ardından, filtreleme, doğrultma, Ortalama Karekök (RMS) gibi sinyal işleme teknikleri kullanılarak ve ayrıca Maksimum Gönüllü Kasılma (MVC) hesaplanarak sinyaller analiz edilmiştir. Sonuç olarak hemiplejik hastalarda Gluteus Maximus (GMA), Gluteus Medius (GM) ve Iliopsoas (ILP) gibi kalça kaslarının MVC değerlerinin SCI hastalarına ve sağlıklı kişilere göre daha düşük olduğu görüldü. Ayrıca elde edilen sinyaller analiz edildiğinde Medial Gastrocnemius (MG) kasının aktivitesinin hareket yolunun ve hareket niyetinin belirlenmesinde kullanılabileceği bulundu. Ayrıca, yürüyüş hareketinin EMG sonuçları, epidural stimülasyon (ES) tedavisinde doğru genlik ve frekans stimülasyonunun uygulanmasında yardımcı olabilir.

Anahtar Kelimeler:

EMG, MVC, yürüme analizi, dış iskelet, kinezyoloji

Investigation of Maximum Voluntary Contraction Activity during Robotic Gait

The purpose of this study is to investigate healthy people’s and patients’ lower extremity muscle activities during robotic gait using kinesiology analysis. Initially, muscle signals were taken from 6 paraplegic patients such as spinal cord injury (SCI) and stroke patients, 2 hemiplegic patients and 4 healthy persons. Then, signals were analyzed by using signal processing techniques such as filtering, rectifying, Root Mean Square (RMS) and also by calculating the Max Voluntary Contraction (MVC). As a result, it was seen that hip muscles such as the Gluteus Maximus (GMA), Gluteus Medius (GM) and Iliopsoas (ILP) had lower MVC values in the hemiplegic patients than those of the SCI patients and the healthy persons. Additionally, when the signals that were obtained were analyzed, it was found that the activity of the Medial Gastrocnemius (MG) muscle could be used in determination of movement path and movement intention. Moreover, the EMG results of gait motion may be helpful in applying accurate amplitude and frequency stimulation in epidural stimulation (ES) therapy.

Keywords:

EMG, MVC, gait analysis, exoskeleton, kinesiology,

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