Motion detection supported exercise therapy in musculoskeletal disorders: a systematic review.

INTRODUCTION: Musculoskeletal disorders (MSDs) are a burden on the healthcare system. Exercise therapy is an important part of MSD rehabilitation. Motion detection systems are developed to support exercise therapy settings. This systematic review aimed: 1) at investigating which types of motion detection systems have been used as a technological support for exercise therapy; 2) at investigating the characteristics of motion detection supported exercise therapy in relation to its clinical indications; and 3) at evaluating the effectiveness of motion detection supported exercise therapy, in MSD rehabilitation. EVIDENCE AQCUISITION: A systematic literature search for RCTs was performed in six databases (PubMed, CINAHL, EMBASE, ACM, Cochrane, and IEEE). Studies eligible for inclusion had to evaluate exercise therapy for persons with MSDs, provide a motion detection system capable of as well measuring active movement of the participant during exercise therapy as evaluating the movement in order to provide qualitative feedback, and should present at least one measure of the following ICF function (pain, muscle strength, mobility), activity (disease-related functional disability, balance) or participation (quality of life) level. Two reviewers independently screened articles, appraised study quality, extracted data, and evaluated effectiveness of selected outcome measures. This review was registered in the International prospective register of systematic reviews (Prospero) under registration number CRD42016035273. EVIDENCE SYNTHESIS: Nine RCTs (N.=432 participants) were included. Eight different motion detection technologies were used such as an accelerometer, gyroscope, magnetometer etc. All systems provided visual feedback. Knee disorders were evaluated most frequently, followed by low back pain and shoulder disorders. Therapy consisted of mobility, balance or proprioception exercises. Main outcomes were pain, disability, mobility and muscle strength. Motion detection supported exercise therapy showed similar or enhanced results on all outcomes compared to conventional exercise therapy. However, a limitation of this study was the low methodological quality of the studies. CONCLUSIONS: To date, a variety of motion detection systems have been developed to support the rehabilitation of MSDs. Results show similar effectiveness of motion detection supported exercise therapy compared to conventional exercise therapy. More research is needed to provide insight in the added value of motion detection systems in musculoskeletal rehabilitation.

The Effectiveness of Technology-Supported Exercise Therapy for Low Back Pain: A Systematic Review.

Various technological systems have been developed to assist exercise therapy for low back pain. The aim of this systematic review was to provide an overview and to assess the effectiveness of the available technology-supported exercise therapy (TSET) programs for low back pain. The electronic databases Pubmed, Embase, Cochrane Central Register of Controlled Trials, PEDro, IEEE, and ACM were searched until January 2016. Randomized controlled trials (RCTs) using electronic technological systems simultaneously with exercise therapy for patients with low back pain were included. Twenty-five RCTs met the inclusion criteria. Seventeen studies involved patients with chronic low back pain, and electromyography biofeedback was the most prevalent type of technological support. This review shows that TSET seems to improve pain, disability, and quality of life for patients with low back pain, and that a standard treatment combined with an additional TSET program might be superior to a standard treatment alone. However, TSET seems not more effective compared to other interventions or a placebo intervention for improving these outcomes, which may partially be explained by the analytical approach of the current TSET-programs. For most technologies, only a limited number of RCTs are available, making it difficult to draw firm conclusions about the effectiveness of individual technological systems.

Us'em: the user-centered design of a device for motivating stroke patients to use their impaired arm-hand in daily life activities.

Stroke leaves the majority of its survivors with an impairment of the upper extremity that affects their ability to live independently and their quality of life. Rehabilitation research shows that practice of everyday life activities in a natural context may sustain or even improve arm-hand performance, even during chronic stages after stroke. Based on this insight we designed, developed and evaluated Us'em; this consists of two watch-like accelerometry devices that provide feedback to stroke patients regarding the usage of their impaired versus their non-affected upper extremity. System usability and treatment credibility/expectancy were evaluated positively by therapists and patients.