Applying EMG technology in medial and lateral elbow enthesopathy treatment using Myo motion controller

• Published in: Australasian physical & engineering sciences in medicine Vol. 42; no. 3; pp. 701 - 710
• Main Authors: Grabczyński, Adam, Szklanny, Krzysztof, Wrzeciono, Piotr
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2019; Springer Nature B.V
• Subjects: Algorithms; Biological and Medical Physics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Case-Control Studies; Controllers; Diagnostic systems; Elbow; Elbow - physiopathology; Electromyography; Electromyography - methods; Electronic devices; Enthesopathy - physiopathology; Enthesopathy - therapy; Female; Humans; Injuries; Injury analysis; Male; Medical and Radiation Physics; Motion; Muscles; Pattern recognition; Rehabilitation; Scientific Paper; Tennis; Myo movement controller; Electromyography; Rehabilitation; Tennis elbow
• ISSN: 0158-9938; 1879-5447
• DOI: 10.1007/s13246-019-00770-5

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.