Use of wearable technology to enhance response to the Coronavirus (COVID-19) pandemic

Weizman, Yehuda; Tan, Adin Ming; Fuss, Franz Konstantin

doi:10.1016/j.puhe.2020.06.048

Cited by 27 publications

(23 citation statements)

References 4 publications

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“…1 Newer technologies have been widely and rapidly deployed to respond to the pandemic with examples such as telemedicine, wearable health sensors, and digital contact tracing among others. [2][3][4] Many of these technologies can be used to scale up constrained healthcare resources to meet increasing healthcare demands of the pandemic response, whereas some such as telemedicine promise remote access to clinical expertise.…”

Section: Introductionmentioning

confidence: 99%

“…The surge of patients in acute respiratory distress during the coronavirus disease 2019 (COVID‐19) pandemic has inspired new innovations in diagnosing, treating, and dispositioning patients during high census conditions with constrained resources 1 . Newer technologies have been widely and rapidly deployed to respond to the pandemic with examples such as telemedicine, wearable health sensors, and digital contact tracing among others 2–4 . Many of these technologies can be used to scale up constrained healthcare resources to meet increasing healthcare demands of the pandemic response, whereas some such as telemedicine promise remote access to clinical expertise.…”

Section: Introductionmentioning

confidence: 99%

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Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

et al. 2020

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

et al. 2020

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“…Internet of Things (IoT) is also playing a major role in solving many problems related to COVID-19. For instance, GPS based wearable systems are being used for contact tracing [34]. Contact tracing is useful because when a certain person gets infected with the disease, then it is more likely that people who came in contact with that person are infected as well and correct precautionary measures can be taken so that the spread of the disease is curbed.…”

Section: Further Applications and Discussionmentioning

confidence: 99%

AI and IoT Solutions for Tackling COVID-19 Pandemic

Ghimire

Thapa

Jha

et al. 2020

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

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Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS -CoV-2), has become an unprecedented public health crisis. To tackle this crisis in an effecti ve way di fferent computational soluti ons invol vi ng artificial intelligence and machine learning have been propounded by researchers across the worl d. Artificial Intelligence has changed the landscape of the healthcare industry and is being used by many corporations and g overnments around the worl d to tackle health care issues and hence, it finds applications in these troubli ng times as well. The internet speciall y google scholar scoured for relevant and accurate applications of machine learning and deep learning in sol vi ng the issues of this pandemic. The di fferent applications include diagnosis, mortality rate pre dic tion, vaccine de velopment, dr ug de velopme nt, sentiment analysis regarding COVID-19 comments and misinformation detection. A systematic study presents the best working models in the respective field.

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“…These wearable sensor technologies have the potential to provide early diagnosis of those who may be in a sensitive age range or with underlying conditions; also for monitoring of those who have shown some symptoms but not serious enough to be hospitalized. With the use of artificial intelligence, the collected data can be processed on the cloud, and any health anomaly can be detected using computational models (see examples: Saglia et al (2019) ; Ding et al (2020) ; Seshadri et al (2020) ; Weizman et al (2020) ; Tripathy et al (2020) ). As mentioned, these technologies can be equipped with the tactile actuator to provide sensory feedback for the user, for example when they move their hand close to their face ( D’Aurizio et al (2020) ), or when they do not follow guidelines for washing the hands for a long enough duration; providing an additional layer of situational awareness.…”

Section: Categories Of Robotic Systems For Boosting Care Deliverymentioning

confidence: 99%

Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

2021

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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.

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Use of wearable technology to enhance response to the Coronavirus (COVID-19) pandemic

Cited by 27 publications

References 4 publications

Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

AI and IoT Solutions for Tackling COVID-19 Pandemic

Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

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