scholarly journals Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2237
Author(s):  
Carlos J. Marques ◽  
Christian Bauer ◽  
Dafne Grimaldo ◽  
Steffen Tabeling ◽  
Timo Weber ◽  
...  

E-rehabilitation is the term used to define medical rehabilitation programs that are implemented at home with the use of information and communication technologies. The aim was to test whether sensor position and the sitting position of the patient influence the accuracy of knee range of movement (ROM) data displayed by the BPMpathway e-rehabilitation system. A preliminary study was conducted in a laboratory setting with healthy adults. Knee ROM data was measured with the BPMpathway e-rehabilitation system and simultaneously with a BIOPAC twin-axis digital goniometer. The main outcome was the root mean squared error (RMSE). A 20% increase or reduction in sitting height led to a RMSE increase. A ventral shift of the BPMpathway sensor by 45° and 90° caused significant measurement errors. A vertical shift was associated with a diminution of the measurement errors. The lowest RMSE (2.4°) was achieved when the sensor was placed below the knee. The knee ROM data measured by the BPMpathway system is comparable to the data of the concurrent system, provided the instructions of the manufacturer are respected concerning the sitting position of the subject for knee exercises, and disregarding the same instructions for sensor positioning, by placing the sensor directly below the knee.

2020 ◽  
Vol 8 (5_suppl4) ◽  
pp. 2325967120S0029
Author(s):  
Carlos J. Marques ◽  
Christian Bauer ◽  
Dafne Grimaldo ◽  
Alexander Ehlert ◽  
Timo Weber ◽  
...  

Aims and Objectives: As the population in different countries ages, there is an expected increase in the demand for TKA procedures in the coming decades. This increasing demand will face the healthcare systems and health care providers with new challenges. After TKA physiotherapy and exercise lead to short term improvements in physical function. Physiotherapy exercise provided at home is an appealing approach with the possibility of wider acceptability and uptake in the near future. E-rehabilitation or telerehabilitation are the terms used to define medical rehabilitation programs that are implemented at home with the use of information and communication technologies (ICT). The BPMpathway (270 Vision Ltd., Andover, UK) is an internet home-based biofeedback and remote patient monitoring system. The system comprises a single high-performance wearable wireless sensor, a patient application that can be downloaded for free and a software application for the clinic. The aim of the present study was to test the concurrent validity of the ROM data displayed by the BPMpathway system for knee exercises. Materials and Methods: This is a concurrent validity study conducted in a laboratory setting. The ROM data obtained with the BPMpathway system was compared with the ROM data acquired simultaneously with a twin-axis digital goniometer (BIOPAC Systems, Inc., California USA). The effects of sensor positioning (position of the sensor on the limb) and ergonomic factors (chair height) on ROM were investigated. The sample consisted of healthy male subjects with different body compositions. The data acquisition was carried out in both systems at a sample rate of 100Hz. Data was analyzed with MATLAB. The Root Mean Squared Error (RMSE) was used to calculate the difference between the values measured by the two devices. Additionally the mean ± SD values for each system were plotted and the absolute difference of the mean curves was plotted as measurement error. A ROM mean difference of 5° between both systems was considered as clinically irrelevant. Results: A 20% increase or reduction in sitting height led to a RMSE increase. A ventral shift of the BPMpathway sensor by 45° and 90° caused significant measurement errors. A vertical shift was associated with a diminution of the measurement errors. The lowest RMSE (2.4°) was achieved when the sensor was placed directly below the knee. The effects of the manipulations were similar for all subjects. RMSE values were higher in subject A, which had a high body mass index (BMI). Conclusion: The knee ROM data measured by the BPMpathway system seems reliable and comparable to the data of the concurrent system used in this investigation, provided the instructions of the manufacturer are respected concerning the sitting position of the subject for knee exercises, and disregarding the same instructions for sensor positioning, by placing the sensor directly below the knee. Changes in seating position and rotation shifts of the sensor induced measurement errors.


2019 ◽  
Vol 7 (1) ◽  
pp. 93-114
Author(s):  
Manon Hermann

Abstract In this contribution, we study the use of the German verbs stehen (‘to stand’), sitzen (‘to sit’) and their causative equivalents stellen (‘to put in a standing position’) and setzen (‘to put in a sitting position’) in noun-verb phrases, such as an der Spitze stehen (lit. ‘to stand at the top’ = ‘to be at the top’) or auf die Beine stellen (lit. ‘to put upright on the legs’ = ‘to achieve’). Among these phrases we are looking more particularly at the subcategory of complex noun-verb phrases which are commonly referred to as Funktionsverbgefüge in German. Numerous examples from the corpus DeReKo (IDS) are analyzed with the aim of identifying the conceptualizations and image schemas that motivate their use. This preliminary study shows that, even if these verbs seem very close at first sight, their use is highly differentiated.


2018 ◽  
Vol 35 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Giovanni Turtulici ◽  
Davide Orlandi ◽  
Giorgia Dedone ◽  
Giovanni Mauri ◽  
Alessandro Fasciani ◽  
...  

1999 ◽  
Vol 56 (7) ◽  
pp. 1234-1240
Author(s):  
W R Gould ◽  
L A Stefanski ◽  
K H Pollock

All catch-effort estimation methods implicitly assume catch and effort are known quantities, whereas in many cases, they have been estimated and are subject to error. We evaluate the application of a simulation-based estimation procedure for measurement error models (J.R. Cook and L.A. Stefanski. 1994. J. Am. Stat. Assoc. 89: 1314-1328) in catch-effort studies. The technique involves a simulation component and an extrapolation step, hence the name SIMEX estimation. We describe SIMEX estimation in general terms and illustrate its use with applications to real and simulated catch and effort data. Correcting for measurement error with SIMEX estimation resulted in population size and catchability coefficient estimates that were substantially less than naive estimates, which ignored measurement errors in some cases. In a simulation of the procedure, we compared estimators from SIMEX with "naive" estimators that ignore measurement errors in catch and effort to determine the ability of SIMEX to produce bias-corrected estimates. The SIMEX estimators were less biased than the naive estimators but in some cases were also more variable. Despite the bias reduction, the SIMEX estimator had a larger mean squared error than the naive estimator for one of two artificial populations studied. However, our results suggest the SIMEX estimator may outperform the naive estimator in terms of bias and precision for larger populations.


Author(s):  
Baohua Hu ◽  
Xiufeng Zhang ◽  
Jingsong Mu ◽  
Ming Wu ◽  
Zongjun Zhu ◽  
...  

2021 ◽  
Author(s):  
Veronica Gavrila ◽  
Lidia Bajenaru ◽  
Mihaela Tomescu ◽  
Ciprian Dobre

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4880 ◽  
Author(s):  
Jiang ◽  
Li

Fault diagnosability is the basis of fault diagnosis. Fault diagnosability evaluation refers to whether there is enough measurable information in the system to support the rapid and reliable detection of a fault. However, due to unavoidable measurement errors in a system, a quantitative evaluation index of system fault diagnosability is inadequate. In order to overcome the adverse effects of measurement errors, improve the accuracy of the quantitative evaluation of fault diagnosability, and improve the safety level of the system, a method for a permissible area analysis of measurement errors for a quantitative evaluation of fault diagnosability is proposed in this paper. Firstly, in order for the residuals obey normal distribution, a design method of the permissible area of measurement errors based on the Kullback–Leibler divergence (KLD) is given. Secondly, two key problems in calculating the KLD are solved by sparse kernel density estimation and the Monte Carlo method. Finally, the feasibility and validity of the method are analyzed through a case study.


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