Applications of Healthcare Robots in Combating the COVID-19 Pandemic

Raje, Shruti; Reddy, Nikunj; Jerbi, Houssem; Randhawa, Princy; Tsaramirsis, Georgios; Shrivas, Nikhil Vivek; Pavlopoulou, Athanasia; Stojmenović, Miloš; Piromalis, Dimitrios

doi:10.1155/2021/7099510

Cited by 28 publications

(28 citation statements)

References 58 publications

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“…Human-robot collaboration is becoming increasingly prevalent in many realms of complex and collaborative environments including rehabilitation, surgery, and the overall medical field (Raje et al, 2021), physical interactions in work (Smids et al, 2020), for those with cognitive (Scassellati et al, 2012) and physical (Van den Heuvel et al, 2016) disabilities and teamwork for task completion [Howell-Munson et al, 2022, for a full review of Human-Robot Interaction (HRI) applications, see Veling and McGinn, 2021]. Understanding how humans perceive a robot is salient in improving and increasing these interactions One unique application is to determine if and how people form a Theory of Mind of robots (Pittman et al, 2022).…”

Section: Human-robot Interactionmentioning

confidence: 99%

Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Doherty

Spencer²,

Burnison³

et al. 2023

Front. Integr. Neurosci.

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Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.

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Section: Human-robot Interactionmentioning

confidence: 99%

Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Doherty

Spencer²,

Burnison³

et al. 2023

Front. Integr. Neurosci.

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“…The growing number of COVID-19 patients has led to a huge demand for robots, notably in the healthcare industry. 12 Keeping social distance has become an essential preventative precaution because SARS-CoV-2 mostly spreads through close personal contact and infected surfaces. Patients must be treated in a setting where there is limited doctor-patient interaction.…”

Section: Recent Perspectives and Limitationsmentioning

confidence: 99%

Study on early accurate diagnosis and treatment of COVID‐19 with smart phone tracking using bionics

Gupta

Kumar

2023

Security and Privacy

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The replication of biological systems by mechanical and electronic devices is referred to as bionics. The bionics industry has grown along four primary application areas, in addition to hearing, vision, orthopedics, and a small, dispersed group of implants that enhance cardiac and neurological functions. The SARS‐CoV‐2 virus is the infectious disease known as coronavirus disease (COVID‐19). The virus‐infected people require assistance to better understand the situation caused by COVID‐19 and to bring some easy, efficient, and effective solutions. One of the solutions mentioned for the early stages involves wearable sensors with temperature sensors for early Covid‐19 identification and photos delivered to an AI‐enabled smartphone, robotic sensor, or robot itself. In severe situations, lung X‐ray images are captured by robotic and remote sensors, and the lungs are given the right medication to finish off the virus. The paper presents the study on the overview, applications of artificial intelligence, and deep learning from the bionics point of view. Deep learning and machine learning will be used for reducing the Covid‐19 outbreak. Wearable sensors provide important data by having temperature‐embedded sensors in several physical devices that reveal details about the environment and body that are connected. Covid‐19 probability prediction is aided by smartphones with artificial intelligence and machine learning capabilities. Case history, doctor notes, chest X‐ray reports, details on the sites of breakouts, and other criteria can help forecast the severity of Covid‐19 when it is in its severe phases and direct the administration of medication to a specific area of the lungs.

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“…Since the beginning of the COVID-19 health crisis, different stakeholders have shown an increasing interest in innovative remote communication solutions and TRs [25][26][27][28][29][30][31][32][33][34][35][36][37][38]. However, thus far, there is limited available evidence concerning the implementation and usefulness of TRs in a home-dwelling OA population.…”

Section: Trs: a Solution That Has Not Been Thoroughly Studied For Sen...mentioning

confidence: 99%

Telepresence Robot Intervention to Reduce Loneliness and Social Isolation in Older Adults Living at Home (Project DOMIROB): Protocol for a Clinical Nonrandomized Study

Isabet

Rigaud

et al. 2022

JMIR Res Protoc

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Background There is a growing prevalence of loneliness and social isolation among older adults (OAs). These problems are often associated with depressive states, cognitive decline, sleep disorders, addictions, and increased mortality. To limit loneliness and social isolation in OAs, some authors recommend the use of new communication technologies to maintain a social link with family members as well as with health and social care professionals. Among these communication tools, telepresence robots (TRs) seem to be a promising solution. These robots offer users the possibility of making video calls with their relatives, social workers, and health care professionals, to maintain social contact and access to support services while living at home. Nevertheless, TRs have been relatively unstudied in real-life environments. Objective The main objective of this study is to measure the impact of a 12-week intervention using a TR on the feeling of loneliness and on social isolation of OAs living at home. Its secondary objective is to establish recommendations for the implementation of TRs in the studied context. Methods A nonrandomized study will be conducted among 60 OAs living at home who will participate in the study for 24 weeks. During this period, they will host a TR for 12 weeks to use it in their home. After the end of the intervention a 12-week follow-up ensues. In total, 4 evaluations will be performed over the entire experimental phase for each participant at weeks 0, 6, 12, and 24. A multidimensional assessment of the impact of the robot will be performed using a multimethod approach including standardized scales and a semistructured interview. This assessment will also help to identify the ergonomic aspects that influence the robot’s usability and acceptability among OAs. Results Data collection started in September 2020 and is expected to be completed in early 2023. In August 2022, 56 participants were recruited for the study. Data analysis will take place between August 2022 and is expected to be completed in early 2023. Conclusions The DOMIROB study will provide new knowledge on the impact of social TRs in OAs living at home. The results will make it possible to suggest technological, ethical, and organizational recommendations for the use and implementation of TRs for OAs in real-life settings. Trial Registration ClinicalTrials.gov NCT04767100; https://clinicaltrials.gov/ct2/show/NCT04767100 International Registered Report Identifier (IRRID) DERR1-10.2196/40528

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Applications of Healthcare Robots in Combating the COVID-19 Pandemic

Cited by 28 publications

References 58 publications

Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Study on early accurate diagnosis and treatment of COVID‐19 with smart phone tracking using bionics

Telepresence Robot Intervention to Reduce Loneliness and Social Isolation in Older Adults Living at Home (Project DOMIROB): Protocol for a Clinical Nonrandomized Study

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