Automated approach for quantifying the repeated sit-to-stand using one body fixed sensor in young and older adults

Abstract

Much is known about the sit-to-stand (STS) and its biomechanics. Currently, however, there is little opportunity for instrumented quantification of the STS as part of screening or diagnosis in clinical practice. The objectives of the present study were to describe the feasibility of using an automated approach for quantifying the STS using one sensor location and to start testing the discriminative validity of this approach by comparing older and younger adults. 15 older subjects recruited from a residential care home and 16 young adults performed 5 repeated sit-to-stand and stand-to-sit movements. They were instrumented with a small and lightweight measurement system (DynaPort(®)) containing 1 triaxial seismic accelerometer and 3 uniaxial gyroscopes fixed in a belt around the waist. Durations of the (sub-)phases of the STS were analyzed and maximum angular velocities were determined. All successful STS cycles were automatically detected without any errors. The STS duration in the older adults was significantly longer and more variable in all phases (i.e., sit-to-stand, standing, stand-to-sit and sitting) compared to the young adults. Older adults also exhibited lower trunk flexion angular velocity. The results of this first fully automated analysis of instrumented repeated STS movements demonstrate that several STS parameters can be identified that provide a basis for a more precise, quantitative study of STS performance in clinical practice.

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

“…Reported differences between people with and people without chair rise difficulties are higher than the absolute errors observed in the current study (Buckley et al, 2008;Kerr et al, 2007;Kouta and Shinkoda, 2008;Van Lummel et al, 2013). E.g., the mean absolute difference of the flexion duration was 10 710 ms, while differences of 330 ms between young and older adults have been reported (Van Lummel et al, 2013).…”

“…E.g., the mean absolute difference of the flexion duration was 10 710 ms, while differences of 330 ms between young and older adults have been reported (Van Lummel et al, 2013). This suggests the possibility of accurately differentiating between people of different functional capabilities.…”

“…For both Optotrak and DynaPort, start of trunk movement was defined as the start of flexion rotation after the sitting period (Van Lummel et al, 2013) (Fig. 2, pane 1).…”

“…A single IS, worn on the lower back, has successfully been used for analyzing sub-phases and trunk kinematics during chair rise (Giansanti and Maccioni, 2006;Millor et al, 2013;Schwenk et al, 2012;Van Lummel et al, 2012;Van Lummel et al, 2013;Weiss et al, 2011Weiss et al, , 2010 and have been validated against other instrumentation for the sit-to-stand task (Boonstra et al, 2006;Janssen et al, 2008;Zijlstra et al, 2012). But Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/jbiomech www.JBiomech.com the validity of using an IS during the biomechanically challenging sit-to-walk (STW) task, which is common in daily life, has not yet been investigated (Kouta and Shinkoda, 2008).…”

A critical systematic review and synopsis of the alignment of scientific developments in surveillance technology in nursing care facilities

“…Only a few studies focused on non-motion measurements such as localization Two-thirds of the 49 studies preferred the permanent surveillance by SeTe devices. Only 22% of the research teams used SeTe devices temporarily to diagnose frailty [24], sleeping patterns [25], fall-risk probability [26], and mobility (seat-off, seat-on [27], TUG [28], and sit-to-stand [29].…”