Title :
SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation
Author :
Farjadian, Amir B. ; Sivak, Mark L. ; Mavroidis, Constantinos
Author_Institution :
Dept. of Mech. & Ind. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
Stroke is a leading cause of serious long-term disability in the United States. There is a need for new technological adjuncts to expedite patients´ scheduled discharge from hospital and pursue rehabilitation procedure at home. SQUID is a low-cost, smart shirt that incorporates a six-channel electromyography (EMG) and heart rate data acquisition module to deliver objective audiovisual and haptic biofeedback to the patient. The sensorized shirt is interfaced with a smartphone application, for the subject´s usage at home, as well as the online database, for the therapist´s remote supervision from hospital. A single healthy subject was recruited to investigate the system functionality during improperly performed exercise. The system can potentially be used in automated, remote monitoring of variety of physical therapy exercises, rooted in strength or coordination training of specific muscle groups.
Keywords :
cardiology; data acquisition; electromyography; medical signal processing; patient monitoring; patient rehabilitation; smart phones; user interfaces; EMG; SQUID; United States; coordination training; exercise monitoring; haptic biofeedback; heart rate data acquisition module; home rehabilitation; hospital; improperly performed exercise; long-term disability; objective audiovisual biofeedback; online database; patient scheduled discharge; physical therapy exercises; rehabilitation procedure; remote therapist supervision; sensorized shirt; six-channel electromyography; smartphone interface; strength training; stroke; system functionality; Biological control systems; Biomedical monitoring; Electrodes; Electromyography; Heart rate; Muscles; Sensors; Biofeedback; Exercise monitoring; Home rehabilitation; Smartphone; Wearable sensors;
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650451