Name
Abstract | ||
|---|---|---|
A progressive improvement in gait following knee arthroplasty surgery can be observed during walking and transitional activities such as sitting/standing. Accurate assessment of such changes traditionally requires the use of a gait lab, which is often impractical, expensive, and labour intensive. Quantifying gait impairment following knee arthroplasty by employing wearable sensors allows for continuous monitoring of recovery. This study employed a recognised protocol of activities both pre-operatively, and at regular intervals up to twenty-four weeks post-total knee arthroplasty. The results suggest that a wearable miniaturised ear-worn sensor is potentially useful in monitoring post-operative recovery, and in identifying patients who fail to improve as expected, thus facilitating early clinical review and intervention. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BSN.2011.10 | BSN |
Keywords | Field | DocType |
body sensor networks,bone,gait analysis,patient monitoring,prosthetics,surgery,accurate assessment,clinical review,gait impairment,gait lab,knee arthroplasty surgery,knee-replacement surgery,post-operative recovery monitoring,progressive improvement,transitional activity,walking,wearable miniaturised ear-worn sensor,wearable sensors,Wearable sensors,body sensor networks,gait | Knee replacement,Gait,Computer science,Wearable computer,Remote patient monitoring,Arthroplasty,Continuous monitoring,Gait analysis,Sitting,Surgery | Conference |
Citations | PageRank | References |
8 | 0.86 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Louis Atallah | 1 | 345 | 27.12 |
| Gareth G. Jones | 2 | 8 | 0.86 |
| Raza Ali | 3 | 61 | 5.36 |
| Julian J. H. Leong | 4 | 20 | 3.15 |
| Benny Lo | 5 | 71 | 6.12 |
| Guang-Zhong Yang | 6 | 2812 | 297.66 |