2016
DOI: 10.1016/j.jbiomech.2016.03.010
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The validity of assessing temporal events, sub-phases and trunk kinematics of the sit-to-walk movement in older adults using a single inertial sensor

Abstract: a b s t r a c tThe aim of this study was to develop a method to identify temporal events, sub-phases and trunk kinematics of the sit-to-walk (STW) using a single inertial sensor (IS) worn at the lower back and to determine the validity of this method. Twenty-seven healthy older adults performed a STW movement, which started from sitting in a chair and included walking 3 m.Participants' movements were recorded with the IS, a reference measurement system consisting of an optical motion capture system (3 markers … Show more

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Cited by 19 publications
(33 citation statements)
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“…1, 2) in the anterior-posterior direction (AP) were calculated from the raw acceleration and angular velocity signals recorded on the low-back, including the pre and post standing phases 27. Further details of these calculations are found in the Appendix 1 of supplementary material.
Figure 1Typical example of forward velocity signal (in AP direction), forward displacement signal, acceleration signals in the three axes and angular velocity signals in the three planes from a healthy control subject.
Figure 2Typical example of forward velocity signal (in AP direction), forward displacement signal, acceleration signals in the three axes and angular velocity signals in the three planes from a subject with Parkinson’s disease.
…”
Section: Methodsmentioning
confidence: 99%
“…1, 2) in the anterior-posterior direction (AP) were calculated from the raw acceleration and angular velocity signals recorded on the low-back, including the pre and post standing phases 27. Further details of these calculations are found in the Appendix 1 of supplementary material.
Figure 1Typical example of forward velocity signal (in AP direction), forward displacement signal, acceleration signals in the three axes and angular velocity signals in the three planes from a healthy control subject.
Figure 2Typical example of forward velocity signal (in AP direction), forward displacement signal, acceleration signals in the three axes and angular velocity signals in the three planes from a subject with Parkinson’s disease.
…”
Section: Methodsmentioning
confidence: 99%
“…Other studies that have validated inertial sensors by comparing them with optical systems for capturing the range of motion in the same axis of movement (flexion-extension) found the following systematic differences in evaluations of the hip movement: [21]. The following additional statistics were reported: R 2 = 0.78 [21] and R 2 = 0.82 [34]; SEM = 2.47 • [32] and SEM = 3 • [31,33], and an ICC of 0.99 [35].…”
Section: Discussionmentioning
confidence: 96%
“…Other studies that have validated inertial sensors by comparing them with optical systems for capturing the range of motion in the same axis of movement (flexion-extension) found the following systematic differences in evaluations of the hip movement: 1.55° (during a hip flexion test) [30] [32]; in evaluations of the range of motion of the trunk during a sit-to-walk test: 0.45° [30]; in the range of motion of the lumbar spine during a standing forward flexion test: 1.82° [33], in the range of lumbar-pelvic movement during a standing forward flexion test: 3.06° [21]. The following additional statistics were reported: R 2 = 0.78 [21] and R 2 = 0.82 [34]; SEM = 2.47° [32] and SEM = 3° [31,33], and an ICC of 0.99 [35].…”
Section: Discussionmentioning
confidence: 99%
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“…Zhang et al [116] proved that a pendant-worn sensor could be reliably used for assessing chair rise monitoring. Finally, other published works investigated the possibility to automate the assessment with sensors attached to the lower-back during sit-to-stand [117], sit-to-walk [118], and 30 s chair test [119]. …”
Section: Wearables For Senior Citizens: Related Work and Limitationsmentioning
confidence: 99%