Capturing whole-body mobility of patients with Parkinson disease using inertial motion sensors: expected challenges and rewards.
Identifieur interne : 001710 ( Main/Exploration ); précédent : 001709; suivant : 001711Capturing whole-body mobility of patients with Parkinson disease using inertial motion sensors: expected challenges and rewards.
Auteurs : Fariborz Rahimi ; Christian Duval ; Mandar Jog ; Carina Bee ; Angela South ; Monica Jog ; Roderick Edwards ; Patrick BoissySource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Actigraphy, Monitoring, Ambulatory.
- physiopathology : Parkinson Disease.
- Acceleration, Activities of Daily Living, Aged, Equipment Design, Equipment Failure Analysis, Humans, Male, Middle Aged, Motor Activity.
Abstract
While many studies have reported on the use of kinematic analysis on well-controlled, in-laboratory mobility tasks, few studies have examined the challenges of recording dynamic mobility in home environments. This preliminary study evaluated whole body mobility in eleven patients with Parkinson disease (H&Y 2-4). Patients were recorded in their home environment during scripted and non-scripted mobility tasks while wearing a full-body kinematic recording system using 11 inertial motion sensors (IMU). Data were analyzed with principal component analysis (PCA) in order to identify kinematic variables which best represent mobility tasks. Results indicate that there was a large degree of variability within subjects for each task, across tasks for individual subjects, and between scripted and non-scripted tasks. This study underscores the potential benefit of whole body multi-sensor kinematic recordings in understanding the variability in task performance across patients during daily activity which may have a significant impact on rehabilitation assessment and intervention.
DOI: 10.1109/IEMBS.2011.6091443
PubMed: 22255666
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">While many studies have reported on the use of kinematic analysis on well-controlled, in-laboratory mobility tasks, few studies have examined the challenges of recording dynamic mobility in home environments. This preliminary study evaluated whole body mobility in eleven patients with Parkinson disease (H&Y 2-4). Patients were recorded in their home environment during scripted and non-scripted mobility tasks while wearing a full-body kinematic recording system using 11 inertial motion sensors (IMU). Data were analyzed with principal component analysis (PCA) in order to identify kinematic variables which best represent mobility tasks. Results indicate that there was a large degree of variability within subjects for each task, across tasks for individual subjects, and between scripted and non-scripted tasks. This study underscores the potential benefit of whole body multi-sensor kinematic recordings in understanding the variability in task performance across patients during daily activity which may have a significant impact on rehabilitation assessment and intervention.</div>
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<name sortKey="Duval, Christian" sort="Duval, Christian" uniqKey="Duval C" first="Christian" last="Duval">Christian Duval</name>
<name sortKey="Edwards, Roderick" sort="Edwards, Roderick" uniqKey="Edwards R" first="Roderick" last="Edwards">Roderick Edwards</name>
<name sortKey="Jog, Mandar" sort="Jog, Mandar" uniqKey="Jog M" first="Mandar" last="Jog">Mandar Jog</name>
<name sortKey="Jog, Monica" sort="Jog, Monica" uniqKey="Jog M" first="Monica" last="Jog">Monica Jog</name>
<name sortKey="Rahimi, Fariborz" sort="Rahimi, Fariborz" uniqKey="Rahimi F" first="Fariborz" last="Rahimi">Fariborz Rahimi</name>
<name sortKey="South, Angela" sort="South, Angela" uniqKey="South A" first="Angela" last="South">Angela South</name>
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