A modular sensor-based system for the Rehabilitation and Assessment of manipulation

Hussain, Asif; Roach, Nick; Balasubramanian, Sivakumar; Burdet, Etienne

doi:10.1109/haptic.2012.6183798

Cited by 10 publications

(14 citation statements)

References 21 publications

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“…Nearly half of the papers (17/41, 42%) recruited only stroke patients [ 22 , 35 - 50 ], 15% (6/41) recruited only healthy participants [ 51 - 56 ], and 17% (7/41) recruited both patients and healthy participants [ 23 , 30 , 57 - 61 ]. One paper recruited participants for a requirements-gathering phase but no details were provided regarding their health status and demographics [ 62 ], and 20% (8/41) of papers did not recruit any participants [ 63 - 70 ].…”

Section: Resultsmentioning

confidence: 99%

Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Dimaguila

Gray

Merolli

2018

JMIR Rehabil Assist Technol

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BackgroundPerson- or patient-generated health data (PGHD) are health, wellness, and clinical data that people generate, record, and analyze for themselves. There is potential for PGHD to improve the efficiency and effectiveness of simulated rehabilitation technologies for stroke. Simulated rehabilitation is a type of telerehabilitation that uses computer technologies and interfaces to allow the real-time simulation of rehabilitation activities or a rehabilitation environment. A leading technology for simulated rehabilitation is Microsoft’s Kinect, a video-based technology that uses infrared to track a user’s body movements.ObjectiveThis review attempts to understand to what extent Kinect-based stroke rehabilitation systems (K-SRS) have used PGHD and to what benefit.MethodsThe review is conducted in two parts. In part 1, aspects of relevance for PGHD were searched for in existing systematic reviews on K-SRS. The following databases were searched: IEEE Xplore, Association of Computing Machinery Digital Library, PubMed, Biomed Central, Cochrane Library, and Campbell Collaboration. In part 2, original research papers that presented or used K-SRS were reviewed in terms of (1) types of PGHD, (2) patient access to PGHD, (3) PGHD use, and (4) effects of PGHD use. The search was conducted in the same databases as part 1 except Cochrane and Campbell Collaboration. Reference lists on K-SRS of the reviews found in part 1 were also included in the search for part 2. There was no date restriction. The search was closed in June 2017. The quality of the papers was not assessed, as it was not deemed critical to understanding PGHD access and use in studies that used K-SRS.ResultsIn part 1, 192 papers were identified, and after assessment only 3 papers were included. Part 1 showed that previous reviews focused on technical effectiveness of K-SRS with some attention on clinical effectiveness. None of those reviews reported on home-based implementation or PGHD use. In part 2, 163 papers were identified and after assessment, 41 papers were included. Part 2 showed that there is a gap in understanding how PGHD use may affect patients using K-SRS and a lack of patient participation in the design of such systems.ConclusionsThis paper calls specifically for further studies of K-SRS—and for studies of technologies that allow patients to generate their own health data in general—to pay more attention to how patients’ own use of their data may influence their care processes and outcomes. Future studies that trial the effectiveness of K-SRS outside the clinic should also explore how patients and carers use PGHD in home rehabilitation programs.

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Section: Resultsmentioning

confidence: 99%

Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Dimaguila

Gray

Merolli

2018

JMIR Rehabil Assist Technol

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“…Hussain et al [63] made use of Kinect-monitored manipulation of specially designed intelligent objects (i.e a can, a jar, and a key-like object embedded with inertial sensors) for fine motor control diagnostics of the hand and wrist. This allows for a virtual environment to monitor the location and kinematics of both the user and the objects manipulated by the user.…”

Section: Kinect Applications In Stroke Rehabilitationmentioning

confidence: 99%

Systematic review of Kinect applications in elderly care and stroke rehabilitation

Webster

Çelik

2014

J NeuroEngineering Rehabil

374

261

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In this paper we present a review of the most current avenues of research into Kinect-based elderly care and stroke rehabilitation systems to provide an overview of the state of the art, limitations, and issues of concern as well as suggestions for future work in this direction. The central purpose of this review was to collect all relevant study information into one place in order to support and guide current research as well as inform researchers planning to embark on similar studies or applications. The paper is structured into three main sections, each one presenting a review of the literature for a specific topic. Elderly Care section is comprised of two subsections: Fall detection and Fall risk reduction. Stroke Rehabilitation section contains studies grouped under Evaluation of Kinect’s spatial accuracy, and Kinect-based rehabilitation methods. The third section, Serious and exercise games, contains studies that are indirectly related to the first two sections and present a complete system for elderly care or stroke rehabilitation in a Kinect-based game format. Each of the three main sections conclude with a discussion of limitations of Kinect in its respective applications. The paper concludes with overall remarks regarding use of Kinect in elderly care and stroke rehabilitation applications and suggestions for future work. A concise summary with significant findings and subject demographics (when applicable) of each study included in the review is also provided in table format.

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“…The apparatus used in this study is a modified version of the Intelligent key presented in [12]. The apparatus and its modifications are explained briefly.…”

Section: A Apparatusmentioning

confidence: 99%

“…However, limited work has been done on the design of sensor based systems to quantify a subject's ability at the activity level during tasks requiring skill. In response, we have designed a set of compact cost-effective intelligent objects using multiple sensors for assessment (and rehabilitation) of subjects performance during complex (skilled) tasks in order to quantify disability at activity level [12], [13]. The following is a brief description of designed objects:…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of motor deficit with an intelligent key Object: A Pilot Study

Hussain

Dailey

Balasubramanian

et al. 2015

2015 IEEE International Conference on Rehabilitation Robotics (ICORR)

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Conventional assessment of sensorimotor functions is carried out using standard clinical scales which are subjective and insufficiently sensitive to changes in motor performance. Alternatively, sensor based systems offer a quantitative approach to motor assessment. We have designed a set of low cost, easy to use instrumented objects to assess a subject's performance during skilled tasks. In this pilot study we discuss the design of one object, the intelligent key, and describe how it can be used to assess a subject's performance during fine manipulation tasks using the proposed metrics and techniques. Three subjects with motor disability and one healthy subject participated in this study. Subjects performed insertion and rotation tasks that mimic the skills used in day to day key manipulation. A threshold detector algorithm based on Teager Energy Operator was applied to the object acceleration signal to quantify time spent struggling with the task and Spectral Arc Length was used to assess the smoothness of pronation/supination. Overall, the results indicate that increased difficulty in task performance correlates with decreased smoothness in task performance.

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A modular sensor-based system for the Rehabilitation and Assessment of manipulation

Cited by 10 publications

References 21 publications

Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Systematic review of Kinect applications in elderly care and stroke rehabilitation

Quantitative assessment of motor deficit with an intelligent key Object: A Pilot Study

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