LOWER-LIMB FOLLOW-UP: A Surface Electromyography Based Serious Computer Game and Patient Follow-Up System for Lower Extremity Muscle Strengthening Exercises in Physiotherapy and Rehabilitation

Gunaydin, Tugba; Arslan, Reis Burak

doi:10.1109/cbms.2019.00103

Cited by 3 publications

(10 citation statements)

References 10 publications

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“…We found 2 (10%) studies used sEMG technology as input tools [12,39]. In Günaydin's study, a serious concept of computer games for physiotherapy and lower limb rehabilitation using sEMG signals and a feedback module for remote tracking of patients is presented.…”

Section: Surface Electromyography (Semg)mentioning

confidence: 99%

“…When the patient plays a game, the sEMG signals are recorded and then analyzed. Measuring sEMG during rehabilitation provides information about the progress of related muscles [12].…”

Section: Surface Electromyography (Semg)mentioning

confidence: 99%

“…In 2 (10%) studies, when the patient was playing, EMG signals were stored and then analyzed for quantitative evaluation of rehabilitation, and feature extraction methods were used to analyze the EMG signal [12,39]. Feng et al [39] propose a rehabilitation assessment method based on the multi-characteristic fusion of kinematic signals and EMG.…”

Section: Emg Signal Analysismentioning

confidence: 99%

“…Exercise therapy can improve symptoms and daily functioning in people with these disorders, but treatment results often prove ineffective [3]. Considering the treatment takes and is repetitive, patients may choose not to adhere to it, which can lead to treatment failure [12]. Also, continuous access to rehabilitation centers is limited for various reasons, including cost, geographical location, and wasting time commuting and waiting in rehabilitation centers [6].…”

Section: Introductionmentioning

confidence: 99%

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Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Kiani

Rezaei

Abasi

et al. 2023

BMC Musculoskelet Disord

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Introduction Musculoskeletal disorders are one of the most common causes of physical disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and patients are not motivated to follow rehabilitation protocols. Therefore, new systems must be used to increase patient motivation. Virtual reality (VR) and augmented reality (AR) technologies can be used in this regard. In developing such systems, various technologies and methods of movement recognition are used; therefore, this study aims to summarize the technical aspects of using VR/AR in rehabilitation and evaluate and discuss efficient methods of investigating studies using the Statement of Standards for Reporting Implementation Studies (StaRI). Methods Search in four scientific databases was done systematically based on PRISMA through online search engines from inception to June 2021. These databases include Medline (PubMed), Scopus, IEEE, and Web of Science. An updated search was also conducted on 17 December 2021. The research used keywords and MeSH terms associated with VR/AR, musculoskeletal disorder, and rehabilitation. Selected articles were evaluated qualitatively using the Standards for Reporting Implementation Studies (StaRI) statement. Results A total of 2343 articles were found, and 20 studies were included. We found that 11 (55%) studies used Kinect technology as input tools, and 15 (75%) studies have described the techniques used to analyze human movements, such as dynamic time warping (DTW) and support vector machines (SVM). In 10 (50%) studies, the Unity game engine was used for visualization. In 8 studies (40%), usability was assessed, and high usability was reported. Similarly, the results of the review of studies according to the StaRI checklist showed poor reporting in the title and discussion of the studies. Conclusions We found that academic studies did not describe the technical aspects of rehabilitation systems. Therefore, a good description of the technical aspects of the system in such studies should be considered to provide repeatability and generalizability of these systems for investigations by other researchers.

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Section: Surface Electromyography (Semg)mentioning

confidence: 99%

“…When the patient plays a game, the sEMG signals are recorded and then analyzed. Measuring sEMG during rehabilitation provides information about the progress of related muscles [12].…”

Section: Surface Electromyography (Semg)mentioning

confidence: 99%

Section: Emg Signal Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Kiani

Rezaei

Abasi

et al. 2023

BMC Musculoskelet Disord

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show abstract

“…These wearable electrodes enable the professional in charge to analyze the muscular activities and muscular strength of a patient during each exercise [18,19]. In some rehabilitation methods, with aim of having an interactive system and motivating patients with visual and audio feedback, during the process, sEMG analysis is incorporated into a 3D game [20,21], virtual reality (VR) [22], and augmented reality (AR) [23]. In addition, there are algorithms that take sEMG signals as the input in order to compute [24] different low-level move-ments of the muscles.…”

Section: Related Workmentioning

confidence: 99%

A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot

2021

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In this work, we introduce HaReS, a hand rehabilitation system. Our proposal integrates a series of exercises, jointly developed with a foundation for those with motor and cognitive injuries, that are aimed at improving the skills of patients and the adherence to the rehabilitation plan. Our system takes advantage of a low-cost hand-tracking device to provide a quantitative analysis of the performance of the patient. It also integrates a low-cost surface electromyography (sEMG) sensor in order to provide insight about which muscles are being activated while completing the exercises. It is also modular and can be deployed on a social robot. We tested our proposal in two different facilities for rehabilitation with high success. The therapists and patients felt more motivation while using HaReS, which improved the adherence to the rehabilitation plan. In addition, the therapists were able to provide services to more patients than when they used their traditional methodology.

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EMG Rehab: An Interactive Platform Controlled by EMG Signals to Improve Adherence to Rehabilitation Therapy in Patients Who Have Suffered Lower Body Muscle Injuries

Aldana Palomino,

Moreno Elescano,

Cruces Chancahuaña

et al. 2024

IFMBE Proceedings

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LOWER-LIMB FOLLOW-UP: A Surface Electromyography Based Serious Computer Game and Patient Follow-Up System for Lower Extremity Muscle Strengthening Exercises in Physiotherapy and Rehabilitation

Cited by 3 publications

References 10 publications

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot

EMG Rehab: An Interactive Platform Controlled by EMG Signals to Improve Adherence to Rehabilitation Therapy in Patients Who Have Suffered Lower Body Muscle Injuries

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