Measuring Upper-Extremity Use with One IMU

Hang Wang; Mohamed Irfan Mohamed Refai; Bernhard J.F. van Beijnum

Measuring Upper-Extremity Use with One IMU

Hang Wang, Mohamed Irfan Mohamed Refai, Bernhard J.F. van Beijnum

Research output: Contribution to conference › Paper › Academic › peer-review

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Abstract

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.

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	http://www.biostec.org/

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title = "Measuring Upper-Extremity Use with One IMU",

abstract = "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.",

author = "Hang Wang and {Mohamed Refai}, {Mohamed Irfan} and {van Beijnum}, {Bernhard J.F.}",

year = "2019",

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AU - Wang, Hang

AU - Mohamed Refai, Mohamed Irfan

AU - van Beijnum, Bernhard J.F.

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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

T2 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019

Y2 - 22 February 2019 through 24 February 2019

ER -