Development of a fuzzy logic based intelligent system for autonomous guidance of post-stroke rehabilitation exercise

Huq, Rajibul; Wang, Rosalie H.; Lu, Elaine; Hébert, Debbie; Lacheray, Herve; Mihailidis, Alex

doi:10.1109/icorr.2013.6650472

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…For instance, Huq et al [28] developed a system based on fuzzy logic for autonomous post-stroke upper-limb rehabilitation exercise. This system uses its decision-making mechanism to estimate the patient's muscle fatigue in order to vary the resistive and assistive forces a robotic device gives to the patient as well as the duration of the exercise.…”

Section: Related Workmentioning

confidence: 99%

“…• Our aim was not designed to provide a way of measuring patient Fatigue, but to use the already existing approaches to provide therapists with the facilities to model these approaches. Initially, we considered using Huq et al's methodology [28] to measure Fatigue and giving our system its own methodology in future work. Huq et al stated that Fatigue is a variable that can be inferred by means of another FIS that uses as input the precision and the average speed of the subject while performing an exercise.…”

Section: If Difficulty Is Medium and Fatigue Is High Then Difficulty mentioning

confidence: 99%

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An Interactive Fuzzy Inference System for Teletherapy of Older People

et al. 2015

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The progressive aging of the population in developed countries is becoming a problem for healthcare systems, which must invest ever higher sums in caring for their older citizens. One of the most important issues in this area involves the physical and cognitive problems associated with growing old. In order to reduce the effect of these problems, gerontechnology has emerged as one of the most promising alternatives, especially in the field of the telerehabilitation systems developed to date. However, most of these systems do not offer therapists the facilities to design therapies adapted to individual patients. This paper proposes a novel system that supplies this need and enables therapists to create bespoke motor therapies as state diagrams and manage them efficiently in a collaborative setting. The proposed system is equipped with a fuzzy-based decision-making component that therapists can use to control transitioning between states according to variables such as fatigue and performance. Therefore, the system makes it feasible to provide older patients with the treatment they need in their own homes while its effectiveness is controlled by a Fuzzy Inference System.

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Section: Related Workmentioning

confidence: 99%

Section: If Difficulty Is Medium and Fatigue Is High Then Difficulty mentioning

confidence: 99%

An Interactive Fuzzy Inference System for Teletherapy of Older People

et al. 2015

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“…The development and simulation of fuzzy logic based learning mechanisms related to robotic rehabilitation is well-documented, utilizing various devices to emulate human motor learning [2], [9], [10], [11], [12], [13], and [14]. The relationships between movements of upper extremities identifying joint angles using a fuzzy logic system have been reported [15]; these authors analysed a range of joint angles and rhythmical movement variables to design a fuzzy expert system.…”

Section: Background and Related Workmentioning

confidence: 99%

An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation

Esfahlani¹,

Cirstea²,

Sanaei³

et al. 2017

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

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Rehabiliation robotics combined with video game technology provides a means of assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The current work presents ReHabGame, a serious game using a fusion of implemented technologies that can be easily used by patients and therapists to assess and enhance sensorimotor performance and also increase the activities in the daily lives of patients. The game allows a player to control avatar movements through a Kinect Xbox, Myo armband and rudder foot pedal, and involves a series of reach-grasp-collect tasks whose difficulty levels are learnt by a fuzzy interface. The orientation, angular velocity, head and spine tilts and other data generated by the player are monitored and saved, whilst the task completion is calculated by solving an inverse kinematics algorithm which orientates the upper limb joints of the avatar. The different values in upper body quantities of movement provide fuzzy input from which crisp output is determined and used to generate an appropriate subsequent rehabilitation game level. The system can thus provide personalised, autonomously-learnt rehabilitation programmes for patients with neuromuscular disorders with superior predictions to guide the development of improved clinical protocols compared to traditional theraputic activities.

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“…The reason is that the intensity delivered using the proposed architecture dependents on (a) the musculoskeletal power of the patient, (b) the level of intensity that the therapist/clinician would like to deliver to the individual's hand, and (c) the level of comfort that the individual feels during the trial. Considering feedback from a therapist/clinician is common for neuro-rehabilitation robotic systems, where the therapist/clinician gradually tunes the difficulty level while the patient performs tasks [39,40]. As a result, we suggest to allow the clinician to tune B x and B y based on their understanding of the needs of the individual with CP and considering the individual's comfort level during the interaction.…”

Section: Components and The Design Of Actionsmentioning

confidence: 99%

“…Note that, the clinician will be always able to tune these parameters. This is a widely utilized approach in the literature [39,40].…”

Section: Components and The Design Of Actionsmentioning

confidence: 99%

Telerobotics-Assisted Platform for Enhancing Interaction with Physical Environments for People Living with Cerebral Palsy

Atashzar

Jafari

Shahbazi

et al. 2017

J. Med. Robot. Res.

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In this paper, the design and implementation of a new telerobotics-assisted platform is proposed for individuals who have cerebral palsy (CP). The main objective of the proposed assistive system is to modulate capabilities of individuals through the proposed telerobotic medium and to enhance their control over interaction with objects in a real physical environment. The proposed platform is motivated by evidence showing that lack of interaction with real environments can develop further secondary sensorimotor and cognitive issues for people who grow up with CP. The proposed telerobotic system assists individuals by (a) mapping their limited but convenient motion range to a larger workspace needed for task performance in the real environment, (b) transferring only the voluntary components of the hand motion to the task-side robot to perform tasks and (c) kinaesthetically dissipating the energy of their involuntary motions using a viscous force field implemented in high frequency domain. Consequently, using the proposed system, an individual who has CP will be capable of providing smooth and large-scale motions and presenting enhanced coordination while performing tasks, even if they naturally have involuntary movements, limited range of motion and/or coordination deficits. The proposed architecture is implemented and initially tested for one nondisabled participant. Afterwards, the system is evaluated for one individual who lives with CP. The resulting quality of motion and task performance are analyzed through a designed clinical protocol. The results confirm the functionality of the proposed assistive platform in enhancing the capabilities of individuals who live with CP in interacting with physical environments.

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Development of a fuzzy logic based intelligent system for autonomous guidance of post-stroke rehabilitation exercise

Cited by 7 publications

References 21 publications

An Interactive Fuzzy Inference System for Teletherapy of Older People

An Interactive Fuzzy Inference System for Teletherapy of Older People

An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation

Telerobotics-Assisted Platform for Enhancing Interaction with Physical Environments for People Living with Cerebral Palsy

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