Teknologi Rehabilitasi Cerdas untuk Pemulihan Cedera Olahraga: Tinjauan dari Perspektif Fisioterapi
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Cedera olahraga merupakan masalah umum pada atlet dan individu aktif yang dapat menurunkan performa, membatasi fungsi, dan memperpanjang proses pemulihan. Kemajuan teknologi telah mendorong fisioterapi olahraga menuju pendekatan rehabilitasi cerdas yang lebih objektif, terukur, dan efisien. Penelitian ini bertujuan meninjau penerapan teknologi rehabilitasi cerdas dalam pemulihan cedera olahraga, meliputi wearable devices, sensor biomekanik, virtual reality (VR), machine learning (ML), tele-rehabilitasi, dan elektromiografi (EMG). Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap artikel nasional dan internasional yang dipublikasikan pada 2019–2025 melalui basis data PubMed, ScienceDirect, SpringerLink, BMC, BMJ OSEM, dan Google Scholar. Seleksi menggunakan kriteria inklusi–eksklusi menghasilkan 15 studi yang dianalisis, dengan penilaian kualitas sederhana berdasarkan desain penelitian, relevansi populasi, serta validitas aplikasi teknologi. Hasil menunjukkan bahwa wearable devices dan sensor biomekanik merupakan teknologi yang paling banyak diteliti, diikuti VR/AR, tele-rehabilitasi, dan AI/ML. Outcome dominan mencakup pemantauan parameter fisiologis dan biomekanik, peningkatan keseimbangan dan kekuatan ekstremitas bawah, estimasi beban latihan, deteksi pola gerak berisiko, serta pemantauan aktivasi otot melalui EMG. Secara umum, teknologi rehabilitasi cerdas terbukti meningkatkan efektivitas terapi, mempercepat pemulihan, dan meminimalkan risiko cedera berulang melalui pemantauan real time dan umpan balik berbasis data. Di Indonesia, penggunaan EMG dan aplikasi digital menunjukkan potensi adopsi teknologi dalam fisioterapi olahraga, meskipun implementasi klinis masih terbatas. Kesimpulannya, integrasi teknologi digital dengan praktik fisioterapi konvensional berpotensi memperkuat layanan rehabilitasi olahraga berbasis bukti, dengan tantangan pada kesiapan infrastruktur dan kompetensi teknologi tenaga fisioterapi.
Smart Rehabilitation Technology for Sports Injury Recovery: A Review from a Physiotherapy Perspective
Abstract
Sports injuries are a common problem among athletes and active individuals that can reduce performance, limit function, and prolong the recovery process. Technological advances have pushed sports physiotherapy towards a smarter rehabilitation approach that is more objective, measurable, and efficient. This study aims to review the application of smart rehabilitation technology in sports injury recovery, including wearable devices, biomechanical sensors, virtual reality (VR), machine learning (ML), tele-rehabilitation, and electromyography (EMG). The method used was a Systematic Literature Review (SLR) of national and international articles published in 2019–2025 through the PubMed, ScienceDirect, SpringerLink, BMC, BMJ OSEM, and Google Scholar databases. Selection using inclusion–exclusion criteria resulted in 15 studies being analyzed, with a simple quality assessment based on research design, population relevance, and technology application validity. The results showed that wearable devices and biomechanical sensors were the most researched technologies, followed by VR/AR, tele-rehabilitation, and AI/ML. The dominant outcomes included monitoring physiological and biomechanical parameters, improving balance and lower extremity strength, estimating exercise load, detecting risky movement patterns, and monitoring muscle activation through EMG. In general, smart rehabilitation technology has been shown to increase the effectiveness of therapy, accelerate recovery, and minimize the risk of recurrent injuries through real-time monitoring and data-based feedback. In Indonesia, the use of EMG and digital applications shows potential for technology adoption in sports physiotherapy, although clinical implementation remains limited. In conclusion, the integration of digital technology with conventional physiotherapy practices has the potential to strengthen evidence-based sports rehabilitation services, with challenges in infrastructure readiness and the technological competence of physiotherapy personnel.
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