scholarly journals Angular sway propagation in One Leg Stance and quiet stance with Inertial Measurement Units for older adults

2015 ◽  
Author(s):  
W. Kong ◽  
S. Sessa ◽  
D. Zhang ◽  
M. Zecca ◽  
S. Cosentino ◽  
...  
Keyword(s):  
Older Adults ◽  
Quiet Stance ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units

scholarly journals Wavelet-based algorithm for auto-detection of daily living activities of older adults captured by multiple inertial measurement units (IMUs)

2016 ◽  
Vol 37 (3) ◽  
pp. 442-461 ◽  
Author(s):  
Fouaz S Ayachi ◽  
Hung P Nguyen ◽  
Catherine Lavigne-Pelletier ◽  
Etienne Goubault ◽  
Patrick Boissy ◽  
...  
Keyword(s):  
Older Adults ◽  
Daily Living ◽  
Inertial Measurement Units ◽  
Daily Living Activities ◽  
Inertial Measurement ◽  
Measurement Units

scholarly journals Gait Variability Using Waist- and Ankle-Worn Inertial Measurement Units in Healthy Older Adults

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2858 ◽  
Author(s):  
Timo Rantalainen ◽  
Laura Karavirta ◽  
Henrikki Pirkola ◽  
Taina Rantanen ◽  
Vesa Linnamo
Keyword(s):  
Older Adults ◽  
Correlation Coefficient ◽  
Concurrent Validity ◽  
Force Plate ◽  
Gait Variability ◽  
Inertial Measurement Units ◽  
Healthy Older Adults ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Stride Duration

Gait variability observed in step duration is predictive of impending adverse health outcomes among apparently healthy older adults and could potentially be evaluated using wearable sensors (inertial measurement units, IMU). The purpose of the present study was to establish the reliability and concurrent validity of gait variability and complexity evaluated with a waist and an ankle-worn IMU. Seventeen women (age 74.8 (SD 44) years) and 10 men (73.7 (4.1) years) attended two laboratory measurement sessions a week apart. Their stride duration variability was concurrently evaluated based on a continuous 3 min walk using a force plate and a waist- and an ankle-worn IMU. Their gait complexity (multiscale sample entropy) was evaluated from the waist-worn IMU. The force plate indicated excellent stride duration variability reliability (intra-class correlation coefficient, ICC = 0.90), whereas fair to good reliability (ICC = 0.47 to 0.66) was observed from the IMUs. The IMUs exhibited poor to excellent concurrent validity in stride duration variability compared to the force plate (ICC = 0.22 to 0.93). A good to excellent reliability was observed for gait complexity in most coarseness scales (ICC = 0.60 to 0.82). A reasonable congruence with the force plate-measured stride duration variability was observed on many coarseness scales (correlation coefficient = 0.38 to 0.83). In conclusion, waist-worn IMU entropy estimates may provide a feasible indicator of gait variability among community-dwelling ambulatory older adults.

scholarly journals Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2983
Author(s):  
Antonio Cobo ◽  
Elena Villalba-Mora ◽  
Rodrigo Pérez-Rodríguez ◽  
Xavier Ferre ◽  
Leocadio Rodríguez-Mañas
Keyword(s):  
Older Adults ◽  
Scoping Review ◽  
Web Of Science ◽  
Daily Activities ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Monitoring Applications ◽  
Healthcare Monitoring ◽  
Measurement Units ◽  
Hospitalized Older Adults

Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults’ frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers. SCOPUS, PUBMED, and Web of Science were used to identify papers published 2010–2020. We selected 67 documents involving non-hospitalized older adults (65+ y.o.) and assessing frailty level or some specific frailty-marker with some sensor. Among the nine types of body worn sensors, only inertial measurement units (IMUs) on the waist and wrist-worn sensors comply with ubiquity. The former can transparently assess all variables but weight loss. Wrist-worn devices have not been tested in unsupervised conditions. Unsupervised presence detectors can predict frailty, slowness, performance, and physical activity. Waist IMUs and presence detectors are the most promising candidates for unobtrusive and unsupervised monitoring of frailty. Further research is necessary to give specific predictions of frailty level with unsupervised waist IMUs.

scholarly journals Analysis of ergonomic and unergonomic human lifting behaviors by using Inertial Measurement Units

2017 ◽  
Vol 3 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Jan Kuschan ◽  
Henning Schmidt ◽  
Jörg Krüger
Keyword(s):  
Quality Of Life ◽  
Machine Learning ◽  
Angular Velocity ◽  
Musculoskeletal System ◽  
Occupational Diseases ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Main Components

Abstract:This paper presents an analysis of two distinct human lifting movements regarding acceleration and angular velocity. For the first movement, the ergonomic one, the test persons produced the lifting power by squatting down, bending at the hips and knees only. Whereas performing the unergonomic one they bent forward lifting the box mainly with their backs. The measurements were taken by using a vest equipped with five Inertial Measurement Units (IMU) with 9 Dimensions of Freedom (DOF) each. In the following the IMU data captured for these two movements will be evaluated using statistics and visualized. It will also be discussed with respect to their suitability as features for further machine learning classifications. The reason for observing these movements is that occupational diseases of the musculoskeletal system lead to a reduction of the workers’ quality of life and extra costs for companies. Therefore, a vest, called CareJack, was designed to give the worker a real-time feedback about his ergonomic state while working. The CareJack is an approach to reduce the risk of spinal and back diseases. This paper will also present the idea behind it as well as its main components.

scholarly journals Inertial measurement units to estimate drag forces and power output during standardised wheelchair tennis coast-down and sprint tests

2021 ◽  
pp. 1-19
Author(s):  
Thomas Rietveld ◽  
Barry S. Mason ◽  
Victoria L. Goosey-Tolfrey ◽  
Lucas H. V. van der Woude ◽  
Sonja de Groot ◽  
...  
Keyword(s):  
Power Output ◽  
Inertial Measurement Units ◽  
Inertial Measurement ◽  
Drag Forces ◽  
Measurement Units
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