wearable motion sensors
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2021 ◽  
pp. 103365
Author(s):  
Erhan Kavuncuoğlu ◽  
Esma Uzunhisarcıklı ◽  
Billur Barshan ◽  
Ahmet Turan Özdemir

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Devin L. McCaslin ◽  
Neil T. Shepard ◽  
John H. Hollman ◽  
Jeffrey P. Staab

Author(s):  
Mıthat YANIKOREN ◽  
Sezcan YILMAZ ◽  
Bilal USANMAZ ◽  
Selim TEZGEL ◽  
Mehmet YAZAR ◽  
...  

Author(s):  
Menekse S. Barim ◽  
Ming-Lun Lu ◽  
Shuo Feng ◽  
Grant Hughes ◽  
Marie Hayden ◽  
...  

The purpose of this study was to assess two computation models for estimating the hand locations during lifting tasks using data from five inertial measurement units (IMUs) attached to five body segments. The first model computed the hand location with the IMU gyroscope data and the pre-defined ratios of body segment lengths. The second model used the same gyroscope information and all measured lengths of the body segments. The outcome measure of these models was the estimated hand location in 12 lifting zones defined by the ACGIH Threshold Limit Values (TLVs) for lifting. Motion data was collected with the wearable system and a laboratory-grade motion capture system on ten subjects that performed 12 two- handed lifting tasks representing the lifting zones. By including body segment measurements, the average accuracy of the model improved from 4 to 34%, suggesting that body segment information plays an important role in estimating the lifting zones.


Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5625
Author(s):  
Sylvain Jung ◽  
Mona Michaud ◽  
Laurent Oudre ◽  
Eric Dorveaux ◽  
Louis Gorintin ◽  
...  

This article presents an overview of fifty-eight articles dedicated to the evaluation of physical activity in free-living conditions using wearable motion sensors. This review provides a comprehensive summary of the technical aspects linked to sensors (types, number, body positions, and technical characteristics) as well as a deep discussion on the protocols implemented in free-living conditions (environment, duration, instructions, activities, and annotation). Finally, it presents a description and a comparison of the main algorithms and processing tools used for assessing physical activity from raw signals.


2020 ◽  
Vol 6 (3) ◽  
pp. 229-232
Author(s):  
Adrian Derungs ◽  
Corina Schuster-Amft ◽  
Oliver Amft

AbstractWe propose three novel digital biomarkers for the longitudinal performance monitoring and movement evaluation of hemiparetic patients, e.g. after stroke. We devised convergence points (CP) for the bilateral walking analysis based on gait parameters, e.g. stride duration using regression- modelling to estimate similarity between body sides. The physical activity (PA) was devised to evaluate the energy expenditure of all extremities during training and free-living. The functional range of motion (fROM) is a digital biomarker to quantify the upper arm reaching ability, represented in 3D visualisations. In this work, we detail CP, PA, and fROM to derive rehabilitation insights for personalising therapies. We evaluated the proposed digital biomarkers in a clinical observation study with 11 patients after stroke during their rehabilitation including therapy and self-paced daily routines.


2020 ◽  
Vol 6 (3) ◽  
pp. 115-118
Author(s):  
Rene Peter Bremm ◽  
Klaus Peter Koch ◽  
Rejko Krüger ◽  
Jorge Gonçalves ◽  
Frank Hertel

AbstractDeep brain stimulation (DBS) is an established therapy for movement disorders such as in Parkinson's disease (PD) and essential tremor (ET). Adjusting the stimulation parameters, however, is a labour-intensive process and often requires several patient visits. Physicians prefer objective tools to improve (or maintain) the performance in DBS. Wearable motion sensors (WMS) are able to detect some manifestations of pathological signs, such as tremor in PD. However, the interpretation of sensor data is often highly technical and methods to visualise tremor data of patients undergoing DBS in a clinical setting are lacking. This work aims to visualise the dynamics of tremor responses to DBS parameter changes with WMS while patients performing clinical hand movements. To this end, we attended DBS programming sessions of two patients with the aim to visualise certain aspects of the clinical examination. PD tremor and ET were effectively quantified by acceleration amplitude and frequency. Tremor dynamics were analysed and visualised based on setpoints, movement transitions and stability aspects. These methods have not yet been employed and examples demonstrate how tremor dynamics can be visualised with simple analysis techniques. We therefore provide a base for future research work on visualisation tools in order to assist clinicians who frequently encounter patients for DBS therapy. This could lead to benefits in terms of enhanced evaluation of treatment efficacy in the future.


2020 ◽  
Author(s):  
Cathy Lo ◽  
Matthew Brodie ◽  
William Tsang ◽  
Stephen Lord ◽  
Chun-hoi Yan ◽  
...  

Abstract Background: Total knee arthroplasty (TKA) is a common treatment for severe knee osteoarthritis. Medial-pivot TKA systems (MP-TKA) are theoretically better than posterior-stabilized TKA systems (PS-TKA) in improving static and dynamic balance of patients although it is difficult to objectively quantify these balance parameters in a clinical setting. Therefore, this pilot study aimed to evaluate the feasibility of using wearable devices in a clinical setting to examine whether people with MP-TKA have better postoperative outcomes than PS-TKA, and their balance control is more akin to age-matched asymptomatic controls. Methods : The current cross-sectional pilot study recruited 57 participants with two different prosthesis designs (20 PS-TKA, 18 MP-TKA) and 19 asymptomatic controls. At 1-year post-TKA, pain, knee stiffness and physical function were assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Static balance, mobility and gait stability of the participants were evaluated based on data collected from wearable motion sensors during the near tandem stance, timed-up-and-go , and six-minute walk tests. Results : Compared to asymptomatic controls, both TKA groups reported significantly more pain and stiffness, and demonstrated reduced functional mobility, increased stride-time-variability and impaired balance. After Bonferroni adjustment, no significant differences in pain, balance and mobility performance were observed between PS-TKA and MP-TKA participants one year after surgery. However, there was a trend for increased anteroposterior sway of the lumbar and head regions in the MP-TKA participants when undertaking the near tandem stance test. The wearable motion sensors were easy to use without any adverse effects. Conclusions: It is feasible to use wearable motion sensors in a clinical setting to compare balance and mobility performance of patients with different TKA prothesis designs. Since this was a pilot study and no definite conclusions could be drawn, future clinical trials should determine the impacts of different TKA prosthesis designs on postoperative outcomes over a longer follow-up period. Keywords: Prosthesis; Postural sway; Gait; Wearable sensors; Post-operation; Balance performance Key messages regarding feasibility What uncertainties existed regarding the feasibility?;It was unclear whether wearable motion sensors could be used to evaluate the balance and mobility of patients undergoing two different types of total knee arthroplasty (TKA) prostheses at 1-year follow-up with reference to age-matched asymptomatic controls. What are the key feasibility findings?Wearable motion sensors were a safe non-invasive tool to evaluate balance and mobility of TKA patients in a clinical setting. The results from the wearable motion sensors showed that both TKA groups demonstrated reduced functional mobility, increased stride-time-variability, and poorer balance as compared to age-matched asymptomatic controls. What are the implications of the feasibility findings for the design of the main study?Wearable motion sensors can be used in a clinical setting to measure balance and mobility of patients following TKA. A randomized controlled trial should be conducted to determine whether the two types of patients display significantly different pain, balance controls and mobility during the first two years after surgery.


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