LOVETT Scalling With MYO Armband For Monitoring Finger Muscles Therapy of Post-Stroke People

被引：0

作者：

Hidayat, Achmad Alfian ^{[1
]}

Arief, Zainal ^{[2
]}

Yuniarti, Heny ^{[1
]}

机构：

[1] Polytech Inst Surabaya, Informat Dept, Elect Engn, Surabaya, Indonesia

[2] Polytech Inst Surabaya, Elect Dept Elect, Surabaya, Indonesia

来源：

2016 INTERNATIONAL ELECTRONICS SYMPOSIUM (IES) | 2016年

关键词：

LOVETT scalling; MYO armband; post-stroke therapy; virtual arm; unity; 3D; INSTRUMENTED GLOVE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

LOVETT scale is a parameter that commonly used by the doctor or therapist to determine the muscle strength of the patient's hands, especially post-stroke patients. By creating the system that combine desktop application with MYO armband, we can measure the muscle strength or the movement of patient's forearm including hands. MYO armband from thalmic lab can read the activities of human's hand muscles by placing it on forearm, as some requirement of LOVETT scalling process is muscles strength. The Myo armband has 8 EMG sensors, gyroscope, accelerometer and bluetooth connection for data transfer. we uses armband's data to control a virtual arm which was built in Unity 3D. this virtual arm can move based on MYO armband's sensors. As the arm moves the doctor can monitor the patient's activities from afar.

引用

页码：66 / 70

页数：5