Can a single lower trunk body-fixed sensor differentiate between level-walking and stair descent and ascent in older adults? Preliminary findings |
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Institution: | 1. Center for the study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;2. Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;3. Sieratzki Chair in Neurology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;4. Department of Neurology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;5. Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel;6. Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;1. Department of Biomedical Engineering, The University of Akron, Akron, OH 44325, USA;2. Department of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL 35294, USA;1. Korea Medicine Science Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of Korea;2. Pharmaceutical Analysis Team, International Scientific Standards, Chuncheon 24232, Republic of Korea;3. Internal Medicine, College of Korean Medicine, Semyung University, Jecheon 27136, Republic of Korea;4. Department of Pediatrics, College of Korean Medicine, Semyung University, Jecheon 27136, Republic of Korea |
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Abstract: | Stair ascent and descent are common forms of ambulation that may be challenging to detect. Here, we propose the first step towards differentiating between stair negotiation and level-walking using a single body-fixed sensor.Seventeen healthy older adults (age: 79.3 ± 4.2 years, 47% women) wore a body-fixed sensor on the lower-back while performing level-walking and stair negotiation. Measures derived from the 3D acceleration and angular-velocity signals included medians, ranges, step duration, step and stride regularity, filtered vertical to horizontal acceleration ratio (VAF/HAF), and wavelet-based features. Friedman's and Wilcoxon tests compared between conditions. Stepwise-binary logistic-regression evaluated classification accuracy.During level-walking, yaw range was lowest and anterior–posterior and vertical step and stride regularity were highest (p ≤ 0.007). Anterior–posterior step regularity (p = 0.003), VAF/HAF (p = 0.094), and yaw range (p = 0.105) identified level-walking (92.2% accuracy). During stair ascent, roll range, median anterior–posterior acceleration and anterior–posterior wavelet-coefficient were lowest (p ≤ 0.006), while VAF/HAF was highest (p = 0.0029). Anterior posterior wavelet coefficient (p = 0.038) and VAF/HAF (p = 0.018) identified stair ascent (94.3% accuracy). During stair descent, vertical and medio-lateral ranges were highest and medio-lateral stride regularity and VAF/HAF were lowest (p ≤ 0.006). VAF/HAF (p = 0.01), medio-lateral acceleration range (p = 0.069), and medio-lateral stride regularity (p = 0.072) identified stair descent (90.2% accuracy).These findings suggest that a single worn body-fixed sensor can be used to differentiate between level-walking and stair negotiation. |
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