Abstract
| Original language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Accepted/In press - 22 Feb 2019 |
| Event | 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019 - Vienna House Diplomat Prague, Prague, Czech Republic Duration: 22 Feb 2019 → 24 Feb 2019 Conference number: 12 http://www.biostec.org/ |
Conference
| Conference | 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019 |
|---|---|
| Abbreviated title | BIOSTEC 2019 |
| Country | Czech Republic |
| City | Prague |
| Period | 22/02/19 → 24/02/19 |
| Internet address |
Fingerprint
Cite this
}
Measuring Upper-Extremity Use with One IMU. / Wang, Hang; Mohamed Refai, Mohamed Irfan; van Beijnum, Bernhard J.F.
2019. Paper presented at 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019, Prague, Czech Republic.Research output: Contribution to conference › Paper › Academic › peer-review
TY - CONF
T1 - Measuring Upper-Extremity Use with One IMU
AU - Wang, Hang
AU - Mohamed Refai, Mohamed Irfan
AU - van Beijnum, Bernhard J.F.
PY - 2019/2/22
Y1 - 2019/2/22
N2 - Discharge home from hospital can be a critical stage in the rehabilitation of patients with central neurological disorders such as stroke. The new skills and early recovery achieved in the hospital may be difficult to transfer to the home environment. This work addresses the monitoring of arm usage and proposed a new metric called Weighted Activity Counts (WAC) based on a sensing system that consists of only one inertial measurement unit (IMU). The proposed metric combines activity counts and the smoothness of the movement. This work defines Normalized Gross Energy Expenditure (NGEC) as the reference metric. WAC shows good performance under the validation protocol we designed (correlation coefficient r > 0:90). The optimal placement for the single sensor which can sufficiently and reliably describe arm usage is also explored in this work.
AB - Discharge home from hospital can be a critical stage in the rehabilitation of patients with central neurological disorders such as stroke. The new skills and early recovery achieved in the hospital may be difficult to transfer to the home environment. This work addresses the monitoring of arm usage and proposed a new metric called Weighted Activity Counts (WAC) based on a sensing system that consists of only one inertial measurement unit (IMU). The proposed metric combines activity counts and the smoothness of the movement. This work defines Normalized Gross Energy Expenditure (NGEC) as the reference metric. WAC shows good performance under the validation protocol we designed (correlation coefficient r > 0:90). The optimal placement for the single sensor which can sufficiently and reliably describe arm usage is also explored in this work.
M3 - Paper
ER -