Das Ratan, Paul Sudip, Mourya Gajendra Kumar, Kumar Neelesh, Hussain Masaraf
Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India.
Biomedical Applications Unit, Central Scientific Instruments Organisation, Chandigarh, India.
Front Neurosci. 2022 Apr 15;16:859298. doi: 10.3389/fnins.2022.859298. eCollection 2022.
The study of human movement and biomechanics forms an integral part of various clinical assessments and provides valuable information toward diagnosing neurodegenerative disorders where the motor symptoms predominate. Conventional gait and postural balance analysis techniques like force platforms, motion cameras, etc., are complex, expensive equipment requiring specialist operators, thereby posing a significant challenge toward translation to the clinics. The current manuscript presents an overview and relevant literature summarizing the umbrella of factors associated with neurodegenerative disorder management: from the pathogenesis and motor symptoms of commonly occurring disorders to current alternate practices toward its quantification and mitigation. This article reviews recent advances in technologies and methodologies for managing important neurodegenerative gait and balance disorders, emphasizing assessment and rehabilitation/assistance. The review predominantly focuses on the application of inertial sensors toward various facets of gait analysis, including event detection, spatiotemporal gait parameter measurement, estimation of joint kinematics, and postural balance analysis. In addition, the use of other sensing principles such as foot-force interaction measurement, electromyography techniques, electrogoniometers, force-myography, ultrasonic, piezoelectric, and microphone sensors has also been explored. The review also examined the commercially available wearable gait analysis systems. Additionally, a summary of recent progress in therapeutic approaches, viz., wearables, virtual reality (VR), and phytochemical compounds, has also been presented, explicitly targeting the neuro-motor and functional impairments associated with these disorders. Efforts toward therapeutic and functional rehabilitation through VR, wearables, and different phytochemical compounds are presented using recent examples of research across the commonly occurring neurodegenerative conditions [viz., Parkinson's disease (PD), Alzheimer's disease (AD), multiple sclerosis, Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS)]. Studies exploring the potential role of Phyto compounds in mitigating commonly associated neurodegenerative pathologies such as mitochondrial dysfunction, α-synuclein accumulation, imbalance of free radicals, etc., are also discussed in breadth. Parameters such as joint angles, plantar pressure, and muscle force can be measured using portable and wearable sensors like accelerometers, gyroscopes, footswitches, force sensors, etc. Kinetic foot insoles and inertial measurement tools are widely explored for studying kinematic and kinetic parameters associated with gait. With advanced correlation algorithms and extensive RCTs, such measurement techniques can be an effective clinical and home-based monitoring and rehabilitation tool for neuro-impaired gait. As evident from the present literature, although the vast majority of works reported are not clinically and extensively validated to derive a firm conclusion about the effectiveness of such techniques, wearable sensors present a promising impact toward dealing with neurodegenerative motor disorders.
人体运动与生物力学的研究是各种临床评估不可或缺的一部分,为诊断以运动症状为主的神经退行性疾病提供了有价值的信息。传统的步态和姿势平衡分析技术,如测力平台、运动摄像机等,是复杂且昂贵的设备,需要专业操作人员,因此在向临床转化方面面临重大挑战。本论文概述并总结了与神经退行性疾病管理相关的一系列因素的文献:从常见疾病的发病机制和运动症状到目前对其量化和缓解的替代方法。本文回顾了管理重要神经退行性步态和平衡障碍的技术和方法的最新进展,重点强调评估和康复/辅助。该综述主要关注惯性传感器在步态分析各个方面的应用,包括事件检测、时空步态参数测量、关节运动学估计和姿势平衡分析。此外,还探索了其他传感原理的应用,如足部力相互作用测量、肌电图技术、电子测角仪、力肌电图、超声波、压电和麦克风传感器。该综述还研究了市售的可穿戴步态分析系统。此外,还总结了治疗方法(即可穿戴设备、虚拟现实(VR)和植物化学化合物)的最新进展,明确针对与这些疾病相关的神经运动和功能障碍。通过VR、可穿戴设备和不同植物化学化合物进行治疗和功能康复的努力,以常见神经退行性疾病(即帕金森病(PD)、阿尔茨海默病(AD)、多发性硬化症、亨廷顿舞蹈病(HD)和肌萎缩侧索硬化症(ALS))的近期研究实例进行了介绍。还广泛讨论了探索植物化合物在减轻常见相关神经退行性病变(如线粒体功能障碍、α-突触核蛋白积累、自由基失衡等)方面潜在作用的研究。诸如关节角度、足底压力和肌肉力量等参数可以使用加速度计、陀螺仪、脚踏开关、力传感器等便携式和可穿戴传感器进行测量。动力鞋垫和惯性测量工具被广泛用于研究与步态相关的运动学和动力学参数。借助先进的相关算法和广泛的随机对照试验,此类测量技术可以成为用于神经损伤步态的有效临床和家庭监测及康复工具。从目前的文献中可以明显看出,尽管所报道的绝大多数研究尚未经过临床广泛验证以得出关于此类技术有效性的确切结论,但可穿戴传感器在应对神经退行性运动障碍方面呈现出有希望的影响。