Atashzar S Farokh, Carriere Jay, Tavakoli Mahdi
Department of Electrical and Computer Engineering, Department of Mechanical and Aerospace Engineering, New York University, New York, NY, United States.
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.
Front Robot AI. 2021 Apr 12;8:610529. doi: 10.3389/frobt.2021.610529. eCollection 2021.
Worldwide, at the time this article was written, there are over 127 million cases of patients with a confirmed link to COVID-19 and about 2.78 million deaths reported. With limited access to vaccine or strong antiviral treatment for the novel coronavirus, actions in terms of prevention and containment of the virus transmission rely mostly on social distancing among susceptible and high-risk populations. Aside from the direct challenges posed by the novel coronavirus pandemic, there are serious and growing secondary consequences caused by the physical distancing and isolation guidelines, among vulnerable populations. Moreover, the healthcare system's resources and capacity have been focused on addressing the COVID-19 pandemic, causing less urgent care, such as physical neurorehabilitation and assessment, to be paused, canceled, or delayed. Overall, this has left elderly adults, in particular those with neuromusculoskeletal (NMSK) conditions, without the required service support. However, in many cases, such as stroke, the available time window of recovery through rehabilitation is limited since neural plasticity decays quickly with time. Given that future waves of the outbreak are expected in the coming months worldwide, it is important to discuss the possibility of using available technologies to address this issue, as societies have a duty to protect the most vulnerable populations. In this perspective review article, we argue that intelligent robotics and wearable technologies can help with remote delivery of assessment, assistance, and rehabilitation services while physical distancing and isolation measures are in place to curtail the spread of the virus. By supporting patients and medical professionals during this pandemic, robots, and smart digital mechatronic systems can reduce the non-COVID-19 burden on healthcare systems. Digital health and cloud telehealth solutions that can complement remote delivery of assessment and physical rehabilitation services will be the subject of discussion in this article due to their potential in enabling more effective and safer NMSDK rehabilitation, assistance, and assessment service delivery. This article will hopefully lead to an interdisciplinary dialogue between the medical and engineering sectors, stake holders, and policy makers for a better delivery of care for those with NMSK conditions during a global health crisis including future pandemics.
在撰写本文时,全球范围内确诊与新冠病毒相关的病例超过1.27亿例,报告的死亡病例约为278万例。由于获得新冠疫苗或强效抗病毒治疗的途径有限,预防和控制病毒传播的行动主要依赖于易感人群和高危人群之间保持社交距离。除了新冠疫情带来的直接挑战外,社交距离和隔离措施在弱势群体中还引发了严重且日益加剧的次生后果。此外,医疗系统的资源和能力都集中在应对新冠疫情上,导致一些不太紧急的护理,如物理神经康复和评估,被暂停、取消或推迟。总体而言,这使得老年人,尤其是患有神经肌肉骨骼疾病(NMSK)的老年人,得不到所需的服务支持。然而,在许多情况下,比如中风,通过康复实现恢复的可用时间窗口有限,因为神经可塑性会随着时间迅速衰退。鉴于预计未来几个月全球还会出现疫情浪潮,讨论利用现有技术解决这一问题的可能性非常重要,因为社会有责任保护最弱势群体。在这篇观点综述文章中,我们认为,在实施社交距离和隔离措施以遏制病毒传播的同时,智能机器人和可穿戴技术有助于远程提供评估、辅助和康复服务。通过在这场疫情期间为患者和医疗专业人员提供支持,机器人和智能数字机电系统可以减轻医疗系统非新冠疫情方面的负担。能够补充远程评估和物理康复服务的数字健康和云远程医疗解决方案将在本文中进行讨论,因为它们有潜力实现更有效、更安全的NMSDK康复、辅助和评估服务提供。本文有望促成医学和工程领域、利益相关者以及政策制定者之间的跨学科对话,以便在包括未来大流行在内的全球健康危机期间,为患有NMSK疾病的患者提供更好的护理。