Rehabilitation Technologies by Integrating Exoskeletons, Aquatic Therapy, and Quantum Computing for Enhanced Patient Outcomes

被引:0
作者
Salgado-Gomes-Sagaz, Fabio [1 ,2 ]
Zorrilla-Munoz, Vanessa [2 ,3 ]
Garcia-Aracil, Nicolas [2 ]
机构
[1] Univ Miguel Hernandez Elche, Syst Engn & Automat Dept, Elche 03202, Spain
[2] Univ Miguel Hernandez Elche, Bioengn Inst, Elche 03202, Spain
[3] Univ Carlos III Madrid, Inst Gender Studies, Madrid 28903, Spain
关键词
exoskeletons; aquatic therapy; proportional-integral-derivative; fuzzy logic controllers; quantum computing; HYDROTHERAPY; MANAGEMENT; PHYSIOTHERAPY; ARTHRITIS; EXERCISE;
D O I
10.3390/s24237765
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Recent advancements in patient rehabilitation integrate both traditional and modern techniques to enhance treatment efficacy and accessibility. Hydrotherapy, leveraging water's physical properties, is crucial for reducing joint stress, alleviating pain, and improving circulation. The rehabilitation of upper limbs benefits from technologies like virtual reality and robotics which, when combined with hydrotherapy, can accelerate recovery. Exoskeletons, which support and enhance movement, have shown promise for patients with neurological conditions or injuries. This study focused on implementing and comparing proportional-integral-derivative (PID) and fuzzy logic controllers (FLCs) in a lower limb exoskeleton. Initial PID control tests revealed instability, leading to a switch to a PI controller for better stability and the development of a fuzzy control system. A hybrid strategy was then applied, using FLC for smooth initial movements and PID for precise tracking, with optimized weighting to improve performance. The combination of PID and fuzzy controllers, with tailored weighting (70% for moderate angles and 100% for extensive movements), enhanced the exoskeleton's stability and precision. This study also explored quantum computing techniques, such as the quantum approximate optimization algorithm (QAOA) and the quantum Fourier transform (QFT), to optimize controller tuning and improve real-time control, highlighting the potential of these advanced tools in refining rehabilitation devices.
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页数:34
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