Virtual Rehabilitation of Carpal Tunnel Syndrome Through Force Feedback

Tamayo, V. Mauricio; Salazar, Pablo J.; Bustamante, D Carlos; Silva, S Marcelo; Escudero, V Miguel; Andaluz, Víctor H.

doi:10.1007/978-3-319-95282-6_11

Cited by 3 publications

(4 citation statements)

References 9 publications

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Section: Discussionmentioning

confidence: 99%

“…8,9,36,53,84,87 Researchers are exploring telerehabilitation as an adjunctive approach to conventional therapy, 36,87 through synchronous video-based interactions, or as stand-alone therapy, 8,9,53,84 either by incorporating feedback systems in the intervention 8,9 or through haptic devices. 39,88 The DCP herein described uses a more holistic approach to WP management, including a PT-monitored exercise program with real-time biofeedback and an educational component comprising CBT topics. Although the effect of exercise alone in wrist or hand pain is more frequently studied, 2,70,71 education and cognitive behavioral therapy are more commonly studied in combination with other interventions.…”

Section: Comparison With Literaturementioning

confidence: 99%

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Digital rehabilitation for hand and wrist pain: a single-arm prospective longitudinal cohort study

Costa

Janela

Molinos

et al. 2022

PR9

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Section: Discussionmentioning

confidence: 99%

Section: Comparison With Literaturementioning

confidence: 99%

Digital rehabilitation for hand and wrist pain: a single-arm prospective longitudinal cohort study

Costa

Janela

Molinos

et al. 2022

PR9

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“…Virtual rehabilitation for carpal tunnel syndrome Force Feedback utilises haptic devices to deliver effective and engaging feedback during physical treatment. (Tamayo, 2018). Patients interact with virtual apps and do activities within a 3D graphical environment.…”

Section: Mls (Multiwave Locked Systemmentioning

confidence: 99%

Exploring the Possibilities of Some Contemporary Physical Therapy Methods for the Conservative Treatment of Carpal Tunnel Syndrome

Evgeniya Vladeva

2024

RS Global - World Science

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Carpal tunnel syndrome (CTS) is the most common compression neuropathy, affecting nearly 5% of the general population. The modern approach to its treatment is complex and includes early diagnosis, prevention and treatment of all conditions and diseases leading to its manifestation. Many authors have worked on the problems related to the possibilities of physical therapy in treating CTS, but the question of optimal treatment and rehabilitation remains relevant to this day. In practice, various rehabilitation programs are constantly being implemented and developed. Many have demonstrated positive outcomes, but work in this area persists. Every novel approach or integration of established physiotherapeutic and rehabilitation techniques enhances the current methods and expands the potential for more comprehensive functional recovery of the impaired limb, as well as the patient's restoration to their previous lifestyle. Physical therapy has advanced significantly in recent decades due to the introduction of numerous new techniques and technologies. The article offers a brief literature overview of several contemporary physical medicine approaches that can be applied in the conservative treatment of carpal tunnel syndrome based on their physiological and therapeutic effects. Modern physical therapy approaches can be a viable alternative to established physical therapy methods like ultrasound, low-level laser, iontophoresis, magnetotherapy, TENS, and others. It is crucial to conduct additional qualitative and comprehensive investigations to verify the effectiveness of physical therapy in treating CTS, identify the most efficient ways, and create improved protocols for its conservative treatment.

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“…Cappa et al [12] demonstrated that force feedback can modulate the smoothness, accuracy, and duration of subjects' movements. Mauricio Tamayo et al [13] used force feedback based on the Novint Falcon along with a virtual environment to provide effective rehabilitation for carpal tunnel syndrome. These related studies provide a strong premise and evidence for this paper, indicating that force feedback can play an excellent auxiliary role in the evaluation of wrist motor function for stroke.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback

Ding

Zhang

Ling

et al. 2022

Sensors

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Motor function evaluation is a significant part of post-stroke rehabilitation protocols, and the evaluation of wrist motor function helps provide patients with individualized rehabilitation training programs. However, traditional assessment is coarsely graded, lacks quantitative analysis, and relies heavily on clinical experience. In order to objectively quantify wrist motor dysfunction in stroke patients, a novel quantitative evaluation system based on force feedback and machine learning algorithm was proposed. Sensors embedded in the force-feedback robot record the kinematic and movement data of the subject, and the rehabilitation doctor used an evaluation scale to score the wrist function of the subject. The quantitative evaluation models of wrist motion function based on random forest (RF), support vector machine regression (SVR), k-nearest neighbor (KNN), and back propagation neural network (BPNN) were established, respectively. To verify the effectiveness of the proposed quantitative evaluation system, 25 stroke patients and 10 healthy volunteers were recruited in this study. Experimental results show that the evaluation accuracy of the four models is all above 88%. The accuracy of BPNN model is 94.26%, and the Pearson correlation coefficient between model prediction and clinician scores is 0.964, indicating that the BPNN model can accurately evaluate the wrist motor function for stroke patients. In addition, there was a significant correlation between the prediction score of the quantitative assessment system and the physician scale score (p < 0.05). The proposed system enables quantitative and refined assessment of wrist motor function in stroke patients and has the feasibility of helping rehabilitation physicians in evaluating patients’ motor function clinically.

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Virtual Rehabilitation of Carpal Tunnel Syndrome Through Force Feedback

Cited by 3 publications

References 9 publications

Digital rehabilitation for hand and wrist pain: a single-arm prospective longitudinal cohort study

Digital rehabilitation for hand and wrist pain: a single-arm prospective longitudinal cohort study

Exploring the Possibilities of Some Contemporary Physical Therapy Methods for the Conservative Treatment of Carpal Tunnel Syndrome

Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback

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