Name
Abstract | ||
|---|---|---|
A tear of the Anterior Cruciate Ligament (ACL) is a common knee injury that requires up to a year of rehabilitation. Patients sustaining an ACL injury perform rehabilitation exercises mostly at home with limited supervision from orthopedists and receive feedback about the quality of their exercising only few times a week at the beginning of the rehabilitation. In this paper we describe KneeHapp, a smart bandage with integrated motion sensors that measures the quality of different rehabilitation exercises, gives feedback to patients and shares the measurements with orthopedists. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2800835.2800909 | UbiComp/ISWC Adjunct |
Field | DocType | Citations |
Bandage,Computer vision,Rehabilitation,ACL injury,Computer science,Wearable computer,Motion sensors,Anterior cruciate ligament,Artificial intelligence,Physical medicine and rehabilitation | Conference | 5 |
PageRank | References | Authors |
0.57 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Haladjian | 1 | 17 | 6.75 |
| Zardosht Hodaie | 2 | 7 | 2.65 |
| Han Xu | 3 | 14 | 2.14 |
| Mertcan Yigin | 4 | 5 | 0.57 |
| Bernd Bruegge | 5 | 593 | 92.79 |
| Markus Fink | 6 | 5 | 0.57 |
| Juergen Hoeher | 7 | 5 | 0.57 |