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Measurement and analysis system of the ankle motion in healthy gait evaluation with data classification

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dc.contributor.author Neramitr Chirakanphaisarn
dc.contributor.author Thadsanee Thongkanluang
dc.contributor.author Suwanna Metheepattarakul
dc.contributor.author เนรมิธ จิรกาญจน์ไพศาล
dc.contributor.author ทัศนีย์ ทองก้านเหลือง
dc.contributor.author สุวรรณา เมธีภัทรากูล
dc.contributor.other Huachiew Chalermprakiet University. Faculty of Science and Technology en
dc.contributor.other Suratthani Rajabhat University. Program in Materials Technology and Manufacturing en
dc.contributor.other Huachiew Chalermprakiet University. Faculty of Science and Technology en
dc.date.accessioned 2025-06-14T13:26:07Z
dc.date.available 2025-06-14T13:26:07Z
dc.date.issued 2016
dc.identifier.other DOI: 10.1109/ICDIPC.2016.7470793
dc.identifier.uri https://has.hcu.ac.th/jspui/handle/123456789/3978
dc.description สามารถเข้าถึงบทความฉบับเต็ม (Full Text) ได้ที่ : https://ieeexplore.ieee.org/document/7470793/authors en
dc.description 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) 21-23 April 2016 at Beirut, Lebanon
dc.description.abstract Ankle motion is a significant gait parameter for walking, which includes parameters such as angle of movement while walking and the average of the angle signal. This preliminary research is to study the ankle motion of the foot by creating an electronic measurement which measures the angle, measure the number of steps, and the experimental results were analyzed the signal movement of the ankle. This research prototype can measure for those who have problems the walking and normal subjects are compared to commercial gait equipment (Ultra-Flex measurement) [8]. The creating a prototype measurement to support medical device incorporates the passive sensors, the Arduino [7] as ADK R3 microcontroller board, storage unit, and display units. The experimental results show the measured parameters, we will analyze the results of walking signal that occurs at the ankle motion with initial behavior analysis of subjects. This research is used for testing with 36 subjects. The subjects were divided into those with less disabled subjects and normal subjects. After testing measurements with our prototype, we have analyzed the effects of ankle motion and using the classification of three groups, which results in a satisfactory level. en
dc.language.iso en_US en
dc.publisher IEEE
dc.subject ข้อเท้า -- การเคลื่อนไหว en
dc.subject Ankle -- Movements en
dc.subject การเคลื่อนที่ (กลศาสตร์) en
dc.subject Motion en
dc.subject ท่าเดิน en
dc.subject Gait en
dc.subject การฟื้นฟูสมรรถภาพ en
dc.subject Rehabilitation en
dc.subject การวิเคราะห์ข้อมูล en
dc.subject Data analysis en
dc.title Measurement and analysis system of the ankle motion in healthy gait evaluation with data classification en
dc.type Proceeding Document en


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