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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chih-Pin Hsiao Chen Zhao Do, E.V.-L. |
| Copyright Year | 2013 |
| Description | Author affiliation: Res. Inst. of Commun. Technol., Beijing Inst. of Technol., Beijing, China (Chen Zhao) || Health Syst. Inst., Georgia Inst. of Technol., Atlanta, GA, USA (Chih-Pin Hsiao; Do, E.V.-L.) |
| Abstract | The Box and Block Test (BBT) is a post-stroke assessment that measures unilateral gross manual dexterity. Commonly used by doctors, nurses and rehabilitation therapists to evaluate rehabilitation progress, the test administration however is time consuming and labor intensive. Appointments need to be scheduled for patients to visit hospital clinics or the therapists to perform at-home visits. We present the Digital Box and Block Test (DBBT) that enables deployment in residential spaces. The system automatically recognizes the two sides of the box, blocks inside of the boxes, and then scores the results that can be sent to the doctors' office remotely. The system also provides additional information such as the hand movement, speeds and locations for the clinicians to perform further outcome assessments of the patients. In this paper, we discuss the role of the technology, how it improves the current practice, and describe the system implementation and future directions. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 360 |
| Ending Page | 363 |
| File Size | 679563 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467350754 |
| e-ISBN | 9781467350778 |
| e-ISBN | 9781467350761 |
| DOI | 10.1109/PerComW.2013.6529516 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Manuals Robot sensing systems Games Diseases Medical treatment Computer Vision Telemedicine Post-Stroke Screening Depth Camera |
| Content Type | Text |
| Resource Type | Article |
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