By Topic

Wireless Support to Poststroke Rehabilitation: MyHeart's Neurological Rehabilitation Concept

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Toni Giorgino ; Dept. of Comput. & Syst. Sci., Univ. of Pavia, Pavia, Italy ; Paolo Tormene ; Giorgio Maggioni ; Caterina Pistarini
more authors

Recent studies suggest that the quality of recovery after a stroke can be increased by early and more intensive rehabilitation. Portable unobtrusive devices are promising candidates for the realization of stroke-rehabilitation systems that complement care in the post-acute rehabilitation phase, both in the clinic and at home. The proposed system allows patients to increase the amount of motor exercise they can perform in autonomy, providing them with a real-time feedback based on wearable sensors embedded in the garment's tissue across the upper limb and trunk. A dynamic time warping algorithm allows for the recognition of correct and incorrect motor exercises. After the feedback phase, data are stored in a central location for review and statistics. Workstations can be installed either at home or at the hospital to support patients, independent of their location. The performance of the system on healthy subjects was quantified for seven types of motor exercises for upper limb's rehabilitation. Finally, we present the preliminary results of a pilot clinical study to test the system's acceptability and usability by post-stroke patients, and physicians in a clinical setting.

Published in:

IEEE Transactions on Information Technology in Biomedicine  (Volume:13 ,  Issue: 6 )