Evaluating Physical Function and Activity in the Elderly Patient Using Wearable Motion Sensors

Overview

Journal EFORT Open Rev

Specialty Orthopedics

Date 2017 May 3

PMID 28461937

Citations 28

Authors

Bernd Grimm

Stijn Bolink

Affiliations

Soon will be listed here.

Abstract

Wearable sensors, in particular inertial measurement units (IMUs) allow the objective, valid, discriminative and responsive assessment of physical function during functional tests such as gait, stair climbing or sit-to-stand.Applied to various body segments, precise capture of time-to-task achievement, spatiotemporal gait and kinematic parameters of demanding tests or specific to an affected limb are the most used measures.In activity monitoring (AM), accelerometry has mainly been used to derive energy expenditure or general health related parameters such as total step counts.In orthopaedics and the elderly, counting specific events such as stairs or high intensity activities were clinimetrically most powerful; as were qualitative parameters at the 'micro-level' of activity such as step frequency or sit-stand duration.Low cost and ease of use allow routine clinical application but with many options for sensors, algorithms, test and parameter definitions, choice and comparability remain difficult, calling for consensus or standardisation. Cite this article: Grimm B, Bolink S. Evaluating physical function and activity in the elderly patient using wearable motion sensors. 2016;1:112-120. DOI: 10.1302/2058-5241.1.160022.

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References

Baczkowicz D, Majorczyk E . Joint motion quality in vibroacoustic signal analysis for patients with patellofemoral joint disorders. BMC Musculoskelet Disord. 2014; 15:426. PMC: 4295352. DOI: 10.1186/1471-2474-15-426. View

Tsuji S, Tomita T, Fujii M, Laskin R, Yoshikawa H, Sugamoto K . Is minimally invasive surgery-total knee arthroplasty truly less invasive than standard total knee arthroplasty? A quantitative evaluation. J Arthroplasty. 2009; 25(6):970-6. DOI: 10.1016/j.arth.2009.06.016. View

Boutaayamou M, Schwartz C, Stamatakis J, Denoel V, Maquet D, Forthomme B . Development and validation of an accelerometer-based method for quantifying gait events. Med Eng Phys. 2015; 37(2):226-32. DOI: 10.1016/j.medengphy.2015.01.001. View

Terwee C, Bouwmeester W, van Elsland S, de Vet H, Dekker J . Instruments to assess physical activity in patients with osteoarthritis of the hip or knee: a systematic review of measurement properties. Osteoarthritis Cartilage. 2011; 19(6):620-33. DOI: 10.1016/j.joca.2011.01.002. View

Boonstra M, Schreurs B, Verdonschot N . The sit-to-stand movement: differences in performance between patients after primary total hip arthroplasty and revision total hip arthroplasty with acetabular bone impaction grafting. Phys Ther. 2011; 91(4):547-54. DOI: 10.2522/ptj.20090376. View

Preece S, Goulermas J, Kenney L, Howard D, Meijer K, Crompton R . Activity identification using body-mounted sensors--a review of classification techniques. Physiol Meas. 2009; 30(4):R1-33. DOI: 10.1088/0967-3334/30/4/R01. View

Dobson F, Hinman R, Roos E, Abbott J, Stratford P, Davis A . OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013; 21(8):1042-52. DOI: 10.1016/j.joca.2013.05.002. View

Abdul Razak A, Zayegh A, Begg R, Wahab Y . Foot plantar pressure measurement system: a review. Sensors (Basel). 2012; 12(7):9884-912. PMC: 3444133. DOI: 10.3390/s120709884. View

Zijlstra W, Hof A . Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. Gait Posture. 2003; 18(2):1-10. DOI: 10.1016/s0966-6362(02)00190-x. View

10.

Zampieri C, Salarian A, Carlson-Kuhta P, Aminian K, Nutt J, Horak F . The instrumented timed up and go test: potential outcome measure for disease modifying therapies in Parkinson's disease. J Neurol Neurosurg Psychiatry. 2009; 81(2):171-6. PMC: 3065923. DOI: 10.1136/jnnp.2009.173740. View

11.

Jaysrichai T, Suputtitada A, Khovidhungij W . Mobile Sensor Application for Kinematic Detection of the Knees. Ann Rehabil Med. 2015; 39(4):599-608. PMC: 4564708. DOI: 10.5535/arm.2015.39.4.599. View

12.

Jarchi D, Wong C, Kwasnicki R, Heller B, Tew G, Yang G . Gait parameter estimation from a miniaturized ear-worn sensor using singular spectrum analysis and longest common subsequence. IEEE Trans Biomed Eng. 2014; 61(4):1261-73. DOI: 10.1109/TBME.2014.2299772. View

13.

Bolink S, van Laarhoven S, Lipperts M, Heyligers I, Grimm B . Inertial sensor motion analysis of gait, sit-stand transfers and step-up transfers: differentiating knee patients from healthy controls. Physiol Meas. 2012; 33(11):1947-58. DOI: 10.1088/0967-3334/33/11/1947. View

14.

Wylde V, Blom A, Bolink S, Brunton L, Dieppe P, Gooberman-Hill R . Assessing function in patients undergoing joint replacement: a study protocol for a cohort study. BMC Musculoskelet Disord. 2012; 13:220. PMC: 3520823. DOI: 10.1186/1471-2474-13-220. View

15.

Wallis J, Webster K, Levinger P, Taylor N . What proportion of people with hip and knee osteoarthritis meet physical activity guidelines? A systematic review and meta-analysis. Osteoarthritis Cartilage. 2013; 21(11):1648-59. DOI: 10.1016/j.joca.2013.08.003. View

16.

Feldhege F, Mau-Moeller A, Lindner T, Hein A, Markschies A, Zettl U . Accuracy of a custom physical activity and knee angle measurement sensor system for patients with neuromuscular disorders and gait abnormalities. Sensors (Basel). 2015; 15(5):10734-52. PMC: 4482003. DOI: 10.3390/s150510734. View

17.

Aziz O, Park E, Mori G, Robinovitch S . Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers. Gait Posture. 2013; 39(1):506-12. DOI: 10.1016/j.gaitpost.2013.08.034. View

18.

Bautmans I, Jansen B, Van Keymolen B, Mets T . Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk. Gait Posture. 2011; 33(3):366-72. DOI: 10.1016/j.gaitpost.2010.12.003. View

19.

Greene B, Doheny E, Kenny R, Caulfield B . Classification of frailty and falls history using a combination of sensor-based mobility assessments. Physiol Meas. 2014; 35(10):2053-66. DOI: 10.1088/0967-3334/35/10/2053. View

20.

Chen K, Chen P, Liu K, Chan C . Wearable sensor-based rehabilitation exercise assessment for knee osteoarthritis. Sensors (Basel). 2015; 15(2):4193-211. PMC: 4367405. DOI: 10.3390/s150204193. View