Article

Telemedicine applications, based on two-dimensional (2D) video conferencing
technology, have been around for the past 15 to 20 yr. They have been
demonstrated to be acceptable for face-to-face consultations and useful for
visual examination of wounds and abrasions. However, certain telerehabilitation
assessments need the use of spatial information in order to accurately assess the
patient's condition and sending three-dimensional video data over low-bandwidth
networks is extremely challenging. This article proposes an innovative way of
extracting the key spatial information from the patient's movement during
telerehabilitation assessment based on 2D video and then presenting the extracted
data by using graph plots alongside the video to help physicians in assessments
with minimum burden on existing video data transfer. Some common rehabilitation
scenarios are chosen for illustrations, and experiments are conducted based on
skeletal tracking and color detection algorithms using the Microsoft Kinect
sensor. Extracted data are analyzed in detail and their usability discussed.
- Télémédecine

Langue : ANGLAIS