DocumentCode
1985004
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
fYear
2013
fDate
24-26 June 2013
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1945-7898
Print_ISBN
978-1-4673-6022-7
Type
conf
DOI
10.1109/ICORR.2013.6650451
Filename
6650451
Link To Document