Conceptual Design and Implementation for Visual Tracking Ankle Rehabilitation System

Chin, Lim Chee; Basah, Shafriza Nisha; Yaacob, Sazali; Juan, Yeap Ewe

doi:10.15282/jmes.7.2014.20.0118

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Also, chronic pain in one site of the lower limb had been found to disturb the dynamic functions of the whole limb [32]. Walking, for example, involves accurate dynamics of the structures involved [33,34]. Since the work of the majority of HCW had been shown to involve a lot of walking, the possibility of the chronic lower limb pain jeopardising their mobility and thus their work productivity is high.…”

Section: Prevalence Of Lower Limb Painmentioning

confidence: 99%

Prevalence of lower limb pain and its associated factors among healthcare workers

Yusoff¹,

Zawawi

Baba³

2017

J. MECH. ENG. SCI.

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Healthcare workers (HCW) are known to have high prevalence of musculoskeletal problems. Nevertheless, the knowledge on lower limb pain (LLP) and its risk factors is still lacking due to the lack of studies done on this body region. A cross-sectional study was therefore carried out among HCW in a district hospital in order to identify the prevalence of LLP among HCW and its associated risk factors. LLP was assessed through Malay-translated Standardised Nordic Questionnaire and other personal and work risk factors were elicited. It was found that the majority of the HCW were exposed to prolonged walking (73.6%) while 33.8% experienced their jobs as passive and another 19% found theirs as highly strained. The prevalence of LLP that lasted more than a day in the previous 12 months was 64.3%, while the prevalence for chronic duration (more than three months) was 18.0%. Chronic LLP among this population was associated with obesity, history of previous injury and work category. Other physical and psychosocial work factors were not found to be associated with chronic LLP. It could be concluded that LLP is prevalent among HCW. However, prospective cohort study is recommended to ascertain the associations of the work factors and chronic LLP.

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Section: Prevalence Of Lower Limb Painmentioning

confidence: 99%

Prevalence of lower limb pain and its associated factors among healthcare workers

Yusoff¹,

Zawawi

Baba³

2017

J. MECH. ENG. SCI.

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“…Performing SPAREs in a remote environment, such as the home setting, can include following a set of instructional guides provided by a therapist [8]- [10]. The homebased approach can help address problems related to insufficient therapists and cost [11]. Unlike other rehabilitation exercises, monitoring SPAREs can be difficult owing to smaller angular movements of the ankle and the possibility of occlusion.…”

Section: Related Workmentioning

confidence: 99%

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

Ekerete¹,

García-Constantino²,

Diaz³

et al. 2021

Preprint

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The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists to ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life, users' inability to remember to charge and wear the devices are often the challenges for their usage. Also, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. This paper, therefore, proposes the use and fusion of unobtrusive and privacy-friendly sensing solutions for data collection and processing during SPAREs in home environments. Two Infrared Thermopile Array (ITA-32) thermal sensors and two Frequency Modulated Continuous Wave (FMCW) Radar sensors were used to simultaneously monitor 15 healthy participants during SPAREs which involved twisting their ankle in 4-fundamental movement patterns namely (i) extension, (ii) flexion, (iii) eversion and (iv) inversion. Experimental results indicated the ability to identify thermal blobs of participants performing the 4 fundamental movement patterns of the human ankle. Cluster-based analysis of data gleaned from the ITA-32 sensors and the FMCW Radar sensors indicated average classification accuracy of 96.9% with K-Nearest Neighbours, Neural Network, AdaBoost, Decision Tree, Stochastic Gradient Descent and Support Vector Machine, amongst others.

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“…Performing SPAREs in a remote environment, such as the home setting, can include following a set of instructional guides provided by a therapist [6,42,43]. The home-based approach can help address problems related to insufficient therapists and cost [44]. Unlike other rehabilitation exercises, monitoring SPAREs can be difficult owing to smaller angular movements of the ankle and the possibility of occlusion.…”

Section: Video-based Sensing Solutionsmentioning

confidence: 99%

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

Ekerete

García-Constantino

Diaz-Skeete

et al. 2021

Sensors

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The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life and users’ inability to remember to charge and wear the devices are often the challenges for their usage. In addition, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. Therefore, this paper proposes the use and fusion of privacy-friendly and Unobtrusive Sensing Solutions (USSs) for data collection and processing during SPAREs in home environments. The present work aims to monitor SPAREs such as dorsiflexion, plantarflexion, inversion, and eversion using radar and thermal sensors. The main contributions of this paper include (i) privacy-friendly monitoring of SPAREs in a home environment, (ii) fusion of SPAREs data from homogeneous and heterogeneous USSs, and (iii) analysis and comparison of results from single, homogeneous, and heterogeneous USSs. Experimental results indicated the advantages of using heterogeneous USSs and data fusion. Cluster-based analysis of data gleaned from the sensors indicated an average classification accuracy of 96.9% with Neural Network, AdaBoost, and Support Vector Machine, amongst others.

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Conceptual Design and Implementation for Visual Tracking Ankle Rehabilitation System

Cited by 7 publications

References 14 publications

Prevalence of lower limb pain and its associated factors among healthcare workers

Prevalence of lower limb pain and its associated factors among healthcare workers

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

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