Validitätsuntersuchung zum neuen, innovativen Ganganalysesystem RehaWatch von Hasomed

Derlien, Steffen; Böhme, B.; Leistritz, L.; Smolenski, U. C.

doi:10.1007/s00337-010-0766-y

Cited by 6 publications

(14 citation statements)

References 9 publications

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“…For the most of the parameters a small deviation was expected. Similar results were published by (Böhme, 2012;Derlien et al, 2010) This expectation was confirmed by the results of the Wilcoxon test whose p-values show a significant difference between both systems for the most gait parameters. Although, the other results in terms of the MOD, SEM and LoA prove the similarity of the gait parameters determined by the different systems.…”

Section: Discussionsupporting

confidence: 90%

Evaluation of Gait Parameters Determined by InvestiGAIT against a Reference System

Orlowski

Loose

Eckardt

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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The purpose is to investigate the validity of an inertial-sensor based gait analysis system (InvestiGAIT) consisting of off-the-shelf sensors and an in-house capturing and analyzing software. The gait of five persons with transfermoral limb loss were captured with the inertial system (Shimmer sensors) and the motion capture system (Vicon) integrating two force plates chosen as reference system in this study. Eleven gait parameters are determined from the data of the captured gait sequences. These gait parameters were compared descriptively and statistically using boxplots, Bland-Altman-plots, including the mean of difference (MOD) and the limits of agreement (LoA), the standard error of the mean (SEM), the Wilcoxon test and the Pearson's correlation coefficient. A complete validity of the gait parameters was not assumed due to the different measurement methods and the impact of the IMU sensor attachment (on the lower shank above the ankle). For the sound and the amputated leg four gait parameters show no significant difference (stride duration, cadence, velocity, stride length). All the other parameters have a p-value smaller than 0.05. Most of the gait parameters have a small MOD, SEM and LoA. These values show a very small absolute difference between the gait parameters of both systems. Based on the results the InvestiGAIT system can be assumed as valid and suitable for follow-up investigations of human gait in research projects or the clinical environment. Nevertheless, further investigations with healthy subjects and a sensor attachment on the subjects' shoe are planned.

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Section: Discussionsupporting

confidence: 90%

Evaluation of Gait Parameters Determined by InvestiGAIT against a Reference System

Orlowski

Loose

Eckardt

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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“…The exact instruction was as follows: “Please walk with your usual gait speed to a similar line on the floor at the end of the hallway, as you see here in front of your feet. Please stop after you have crossed that line.” Before the assessment, participants were equipped with three statically calibrated sensors (RehaGait®, Hasomed GmbH, Magdeburg, Germany [ 32 ]), one located at the lower back and one on each ankle. Each RehaGait sensor has a magnitude of 60x35x15 mm, a weight of 34 g, and includes three axis accelerometers (range ± 16 g), three gyroscopes (range ± 2000°/s), and a magnetometer (range ± 1,3 G).…”

Section: Methodsmentioning

confidence: 99%

No relevant association of kinematic gait parameters with Health-related Quality of Life in Parkinson’s disease

et al. 2017

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BackgroundHealth-related Quality of Life (HrQoL) is probably the most important outcome parameter for the evaluation and management of chronic diseases. As this parameter is subjective and prone to bias, there is an urgent need to identify objective surrogate markers. Gait velocity has been shown to be associated with HrQoL in numerous chronic diseases, such as Parkinson’s disease (PD). With the development and wide availability of simple-to-use wearable sensors and sophisticated gait algorithms, kinematic gait parameters may soon be implemented in clinical routine management. However, the association of such kinematic gait parameters with HrQoL in PD has not been assessed to date.MethodsKinematic gait parameters from a 20-meter walk from 43 PD patients were extracted using a validated wearable sensor system. They were compared with the Visual Analogue Scale of the Euro-Qol-5D (EQ-5D VAS) by performing a multiple regression analysis, with the International Classification of Functioning, Disability and Health (ICF) model as a framework.ResultsUse of assistive gait equipment, but no kinematic gait parameter, was significantly associated with HrQoL.ConclusionThe widely accepted concept of a positive association between gait velocity and HrQoL may, at least in PD, be driven by relatively independent parameters, such as assistive gait equipment.

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“…Most of them had a very high risk for "allocation concealment", "blinding", and for "incomplete outcome data". Only four of the included studies [42,45,47,49] provided some information about randomization procedures, suggesting that randomization was probably concealed. Two studies [41,45] report a blind assessor incorporated for all outcome measures.…”

Section: Methodological Qualitymentioning

confidence: 99%

“…In addition, there is enough evidence that physical activity programs have positive effects on metabolic and cardiovascular disorders, and may reduce falls and the risk of osteoporosis, colon cancer, breast cancer, depression, and anxiety, as well as improving general well-being [28]. Suitable training and exercise programs for elderly individuals should include components from strength, endurance, balance, and agility [18,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48].…”

Section: Theoretical Background Of the Innovative Training Programmentioning

confidence: 99%

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Innovative training programs for frail elderly in the skilling up stage

Rogan

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Validitätsuntersuchung zum neuen, innovativen Ganganalysesystem RehaWatch von Hasomed

Cited by 6 publications

References 9 publications

Evaluation of Gait Parameters Determined by InvestiGAIT against a Reference System

Evaluation of Gait Parameters Determined by InvestiGAIT against a Reference System

No relevant association of kinematic gait parameters with Health-related Quality of Life in Parkinson’s disease

Innovative training programs for frail elderly in the skilling up stage

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