Grabczyński Adam, Szklanny Krzysztof, Wrzeciono Piotr
Multimedia Department, Polish-Japanese Academy of Information Technology, Warsaw, Poland.
Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences-SGGW, Warsaw, Poland.
Australas Phys Eng Sci Med. 2019 Sep;42(3):701-710. doi: 10.1007/s13246-019-00770-5. Epub 2019 Jun 14.
Electromyography (EMG) is a diagnostic technique allowing for the detection of signals generated by changes in electrical potentials of striated muscles. The application of this technology is becoming an increasingly popular subject of scientific research. With the appearance of new devices retrieving EMG data, novel methods of its processing for various purposes are being developed. One such device is the Myo movement controller, produced by Thalmic Labs (now North). The device has been used for the analysis of muscle activation levels in patients with "tennis elbow" and "golfer's elbow"-conditions of upper limbs which usually result from occupational injuries. The process of their rehabilitation is complex and requires a continuous monitoring of its progress. The data obtained by means of the Myo controller was used for pattern recognition of an injured hand with relation to the healthy one. The study involved examining ten subjects, including five controls. The results indicate that the muscle activation force is considerably lower in injured individuals. The arithmetic mean for the 6 analyzed motions in the injured group is 38.54% lower. The SmartEMG application ( https://www.smartemg.com ) enables the implementation of procedures performed during an examination as well as those involved in the management of the collected recordings. The study produced satisfactory results, which indicates the possibility of using the Myo controller in the treatment of elbow enthesopathy.
肌电图（EMG）是一种诊断技术，可检测由横纹肌电势变化产生的信号。这项技术的应用正日益成为科学研究的热门课题。随着用于获取肌电图数据的新设备的出现，针对各种目的的新型处理方法也在不断开发。其中一种设备是由Thalmic Labs（现名为North）生产的Myo运动控制器。该设备已用于分析患有“网球肘”和“高尔夫球肘”的患者的肌肉激活水平，这两种上肢疾病通常由职业损伤引起。它们的康复过程很复杂，需要持续监测进展情况。通过Myo控制器获得的数据用于识别受伤手与健康手的模式。该研究涉及检查10名受试者，包括5名对照组。结果表明，受伤个体的肌肉激活力明显较低。受伤组6项分析动作的算术平均值低38.54%。SmartEMG应用程序（https://www.smartemg.com）能够实施检查期间执行的程序以及收集记录管理中涉及的程序。该研究取得了令人满意的结果，这表明使用Myo控制器治疗肘部肌腱病的可能性。
