A Full Body Sensing System for Monitoring Stroke Patients in a Home Environment

Klaassen, Bart; Beijnum, Bert-Jan van; Weusthof, Marcel H.H.; Hofs, Dennis; Meulen, Fokke B. van; Droog, E.; Luinge, Hendrik J.; Slot, Laurens; Tognetti, Alessandro; Lorussi, Federico; Paradiso, R.; Held, Jeremia P. O.; Luft, Andreas R.; Reenalda, Jasper; Nikamp, Corien; Buurke, Jaap H.; Hermens, Hermie; Veltink, Petrus H.

doi:10.1007/978-3-319-26129-4_25

Cited by 17 publications

(25 citation statements)

References 2 publications

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“…Each is running on a separate Matlab engine. The data acquisition script, used in previous research [2], is customized in order to ensure real-time data streaming from the Xsens sensors to Matlab where triaxial (x, y, z) accelerometer data with corresponding time stamps is logged in a circular buffer with a frequency of 20Hz. This circular buffer is used to split up the data acquisition process from the data translation and feedback processes.…”

Section: A Metricmentioning

confidence: 99%

“…Therefore, there is a need for an unobtrusive and modular system for objectively monitoring the stroke patient's upper and lower extremity motor function in daily-life activities. In the INTERACTION project, a sensor system was developed, based on inertial, strain, goniometer, pressure and EMG sensors, for monitoring Stroke patients during daily life activities [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The development and evaluation of an arm usage coach for Stroke survivors

Klaassen

Bartels

Beijnum

et al. 2015

2015 9th International Conference on Sensing Technology (ICST)

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Physicians currently have no objective information about the intensity and quality of a Stroke patient's daily-life activities after returning home from the rehabilitation hospital. Therefore there is a need to unobtrusively monitor patients performing daily life tasks at home. Within the INTERACTION project, a new inertial based sensor suit was developed, which is able to measure Stroke patients at home. This research extend the INTERACTION project by developing an Arm Usage Coach (AUC), which stimulates the patients affected arm to be used more often at home. The results of a usability evaluation showed high scores in usability, but some design and wear ability problems were found. An open loop evaluation of Stroke patient data showed how different decision criteria parameters, for applying feedback to the patient, resulted in different outcomes of feedback given. Based on both evaluation results, a new prototype is in development, which will be evaluated by Stroke patients in clinic.

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Section: A Metricmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The development and evaluation of an arm usage coach for Stroke survivors

Klaassen

Bartels

Beijnum

et al. 2015

2015 9th International Conference on Sensing Technology (ICST)

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“…Therefore, daily life monitoring of movement quality and quantity would help in guidance of therapy. We previously developed a monitoring solution using a full body inertial sensor suit (Veltink et al, 2014; Klaassen et al, 2015b), with resulting metrics capable of objectifying the quality of movement of stroke subjects. Monitoring in poststroke patients demonstrated that while patients are capable of performing movements during the clinical assessments, they often do not use their affected arm in daily life (van Meulen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Usability Evaluation of a VibroTactile Feedback System in Stroke Subjects

Held

Klaassen

Beijnum

et al. 2017

Front. Bioeng. Biotechnol.

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BackgroundTo increase the functional capabilities of stroke subjects during activities of daily living, patients receive rehabilitative training to recover adequate motor control. With the goal to motivate self-training by use of the arm in daily life tasks, a sensor system (Arm Usage Coach, AUC) was developed that provides VibroTactile (VT) feedback if the patient does not move the affected arm above a certain threshold level. The objective of this study is to investigate the usability of this system in stroke subjects.MethodThe study was designed as a usability and user acceptance study of feedback modalities. Stroke subjects with mild to moderate arm impairments were enrolled. The subjects wore two AUC devices one on each wrist. VT feedback was given by the device on the affected arm. A semi-structured interview was performed before and after a measurement session with the AUC. In addition, the System Usability Scale (SUS) questionnaire was given.ResultsTen ischemic chronic stroke patients (39 ± 38 months after stroke) were recruited. Four out of 10 subjects have worn the VT feedback on their dominant, affected arm. In the pre-measurement interview, eight participants indicated a preference for acoustic or visual over VT feedback. In the post evaluation interview, nine of 10 participants preferred VT over visual and acoustic feedback. On average, the AUC gave VT feedback six times during the measurement session. All participants, with the exception of one, used their dominant arm more then the non-dominant. For the SUS, eight participants responded above 80%, one between 70 and 80%, and one participant responded below 50%.DiscussionMore patients accepted and valued VT feedback after the test period, hence VT is a feasible feedback modality. The AUC can be used as a telerehabilitation device to train and maintain upper extremity use in daily life tasks.

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“…The full-body motion capture technology has applications in various domains, including virtual reality [1], athletic training [2], biomedical engineering [3] and rehabilitation [4,5]. The demand for rehabilitation services and the resulting demand for systems capable of body movement monitoring continue to grow due to the increasing population of ageing people.…”

Section: Introductionmentioning

confidence: 99%

“…In [5] the authors present a full body sensing system for monitoring the daily-life activities of stroke patients. The position and orientation of each body segment are reconstructed using the commercial Xsens MoCap Engine [9], which provides some degree of performance, however, it also restricts the choice of hardware and methods at the various stages of sensor data collection and processing.…”

Section: Introductionmentioning

confidence: 99%

Inertial Motion Capture Costume Design Study

Szczęsna

Skurowski

Lach

et al. 2017

Sensors

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The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer. The final quality of an obtained motion arises from all the individual parts of the described system. The proposed system is a sequence of the following stages: sensor data acquisition, sensor orientation estimation, system calibration, pose estimation and data visualisation. The construction of the system’s architecture with the dataflow programming paradigm makes it easy to add, remove and replace the data processing steps. The modular architecture of the system allows an effortless introduction of a new sensor orientation estimation algorithms. The original contribution of the paper is the design study of the individual components used in the motion capture system. The two key steps of the system design are explored in this paper: the evaluation of sensors and algorithms for the orientation estimation. The three chosen algorithms have been implemented and investigated as part of the experiment. Due to the fact that the selection of the sensor has a significant impact on the final result, the sensor evaluation process is also explained and tested. The experimental results confirmed that the choice of sensor and orientation estimation algorithm affect the quality of the final results.

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A Full Body Sensing System for Monitoring Stroke Patients in a Home Environment

Cited by 17 publications

References 2 publications

The development and evaluation of an arm usage coach for Stroke survivors

The development and evaluation of an arm usage coach for Stroke survivors

Usability Evaluation of a VibroTactile Feedback System in Stroke Subjects

Inertial Motion Capture Costume Design Study

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