Details
| Original language | English |
|---|---|
| Pages (from-to) | 573-576 |
| Number of pages | 4 |
| Journal | Current Directions in Biomedical Engineering |
| Volume | 3 |
| Issue number | 2 |
| Publication status | Published - 7 Sept 2017 |
| Externally published | Yes |
Abstract
Wearable accelerometers are lightweight, affordable, and allow for even smaller form factors than 9D inertial measurement units. They are therefore a promising tool for assessing the quality of movement of patients during daily life activities. While generic signal features such as signal power and frequency content are widely used, the derivation of kinematic (angular and spatial) quantities remains a challenge. We consider a chain of body segments, such as the arm, equipped with 3D accelerometers and propose a method for calculation of the inclination and relative height of the distal segment. For validation of the method against an optical motion capture system, we consider a setup with accelerometers on the forearm and the upper arm of a subject, who performs a sequence of drinking motions and pick-and-place motions. We obtain a root-mean-square deviation of about 2.5 cm for the wrist height relative to the shoulder and about 6° for the inclination angles of the forearm. We conclude that the proposed method yields measurements of kinematic quantities that are accurate enough for classification of functional versus non-functional motions or well-performed motions versus incomplete motions.
Keywords
- Accelerometer, Activities of daily living, Biomechanics, Inertial motion capture, Limb motion analysis, Rehabilitation
ASJC Scopus subject areas
- Engineering(all)
- Biomedical Engineering
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In: Current Directions in Biomedical Engineering, Vol. 3, No. 2, 07.09.2017, p. 573-576.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Deriving kinematic quantities from accelerometer readings for assessment of functional upper limb motions
AU - Laidig, Daniel
AU - Seel, Thomas
N1 - Funding Information: Research funding: The work was partially supported by the German Federal Ministry of Education and Research (BMBF) (FKZ16SV7069K). Conflict of interest: Authors state no conflict of interest. Informed consent: Informed consent has been obtained from all individuals included in this study. Ethical approval: The research related to human use complies with all the relevant national regulations, institutional policies and was performed in accordance with the tenets of the Helsinki Declaration, and has been approved by the authors' institutional review board or equivalent committee.
PY - 2017/9/7
Y1 - 2017/9/7
N2 - Wearable accelerometers are lightweight, affordable, and allow for even smaller form factors than 9D inertial measurement units. They are therefore a promising tool for assessing the quality of movement of patients during daily life activities. While generic signal features such as signal power and frequency content are widely used, the derivation of kinematic (angular and spatial) quantities remains a challenge. We consider a chain of body segments, such as the arm, equipped with 3D accelerometers and propose a method for calculation of the inclination and relative height of the distal segment. For validation of the method against an optical motion capture system, we consider a setup with accelerometers on the forearm and the upper arm of a subject, who performs a sequence of drinking motions and pick-and-place motions. We obtain a root-mean-square deviation of about 2.5 cm for the wrist height relative to the shoulder and about 6° for the inclination angles of the forearm. We conclude that the proposed method yields measurements of kinematic quantities that are accurate enough for classification of functional versus non-functional motions or well-performed motions versus incomplete motions.
AB - Wearable accelerometers are lightweight, affordable, and allow for even smaller form factors than 9D inertial measurement units. They are therefore a promising tool for assessing the quality of movement of patients during daily life activities. While generic signal features such as signal power and frequency content are widely used, the derivation of kinematic (angular and spatial) quantities remains a challenge. We consider a chain of body segments, such as the arm, equipped with 3D accelerometers and propose a method for calculation of the inclination and relative height of the distal segment. For validation of the method against an optical motion capture system, we consider a setup with accelerometers on the forearm and the upper arm of a subject, who performs a sequence of drinking motions and pick-and-place motions. We obtain a root-mean-square deviation of about 2.5 cm for the wrist height relative to the shoulder and about 6° for the inclination angles of the forearm. We conclude that the proposed method yields measurements of kinematic quantities that are accurate enough for classification of functional versus non-functional motions or well-performed motions versus incomplete motions.
KW - Accelerometer
KW - Activities of daily living
KW - Biomechanics
KW - Inertial motion capture
KW - Limb motion analysis
KW - Rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85059812290&partnerID=8YFLogxK
U2 - 10.1515/cdbme-2017-0119
DO - 10.1515/cdbme-2017-0119
M3 - Article
AN - SCOPUS:85059812290
VL - 3
SP - 573
EP - 576
JO - Current Directions in Biomedical Engineering
JF - Current Directions in Biomedical Engineering
IS - 2
ER -