A Review of the Role of Smart Wireless Medical Sensor Network in COVID-19

Ali, Shokat; Singh, Ravi Pratap; Javaid, Mohd; Haleem, Abid; Pasricha, Honey; Suman, Rajiv; Karloopia, Jimmy

doi:10.1142/s2424862220300069

Cited by 57 publications

(26 citation statements)

References 56 publications

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“…(4) Application of highly inter-related digital technologies can also improve the effectiveness of population screening, the response to tests results, and the compliance of populations 39 – 41 . These technologies include the Internet of Things 42 , 43 , biosensors 44 , 45 , health information technology 46 , telemedicine 47 , and machine learning algorithms 44 , 47 .…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Optimizing and evaluating PCR-based pooled screening during COVID-19 pandemics

Huang

Shen

2021

Sci Rep

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Population screening played a substantial role in safely reopening the economy and avoiding new outbreaks of COVID-19. PCR-based pooled screening makes it possible to test the population with limited resources by pooling multiple individual samples. Our study compared different population-wide screening methods as transmission-mitigating interventions, including pooled PCR, individual PCR, and antigen screening. Incorporating testing-isolation process and individual-level viral load trajectories into an epidemic model, we further studied the impacts of testing-isolation on test sensitivities. Results show that the testing-isolation process could maintain a stable test sensitivity during the outbreak by removing most infected individuals, especially during the epidemic decline. Moreover, we compared the efficiency, accuracy, and cost of different screening methods during the pandemic. Our results show that PCR-based pooled screening is cost-effective in reversing the pandemic at low prevalence. When the prevalence is high, PCR-based pooled screening may not stop the outbreak. In contrast, antigen screening with sufficient frequency could reverse the epidemic, despite the high cost and the large numbers of false positives in the screening process.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Optimizing and evaluating PCR-based pooled screening during COVID-19 pandemics

Huang

Shen

2021

Sci Rep

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“…These smart technologies were previously used to promote interpersonal communication [22][23][24][25], but now they can be used to monitor and restrict interpersonal interaction. Smart devices like smart bracelets are undoubtedly an important part of a wireless medical sensor network [26]. During the COVID-19 pandemic, a wireless medical sensor network can not only monitor the health conditions of patients ubiquitously but also reduce the contact between doctors (and nurses) and patients.…”

Section: Comparing Smart Technology Applications To Support Mobile Healthcare Before and Within The Covid-19 Pandemicmentioning

confidence: 99%

“…Furthermore, the cost-effectiveness of a smart technology application will be more rigorously examined. For example, when the pandemic is severe, managing the massive amounts of heterogeneous data [53] transmitted through a wireless medical sensor network requires huge hardware investment [26], which limits its application to a small, experimental space. For this reason, after the COVID-19 pandemic, the reliance on wireless medical sensor networks will be greatly reduced.…”

Section: Possible Developments In Smart Technology Applications To Support Mobile Healthcare After the Covid-19 Pandemicmentioning

confidence: 99%

Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach

Chen

Wang

2021

Healthcare

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The COVID-19 pandemic seems to be entering its final stage. However, to restore normal life, the applications of smart technologies are still necessary. Therefore, this research is dedicated to exploring the applications of smart technologies that can support mobile healthcare after the COVID-19 pandemic. To this end, this study compares smart technology applications to support mobile healthcare within the COVID-19 pandemic with those before the pandemic, so as to estimate possible developments in this field. In addition, to quantitatively assess and compare smart technology applications that may support mobile healthcare after the COVID-19 pandemic, the calibrated fuzzy geometric mean (CFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) approach is applied. The proposed methodology has been applied to evaluate and compare nine potential smart technology applications for supporting mobile healthcare after the COVID-19 pandemic. According to the experimental results, “vaccine passport and related applications” and “smart watches” were the most suitable smart technology applications for supporting mobile healthcare after the COVID-19 pandemic.

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“…Wireless Medical Sensor Network (WMSN) can benefit those who treat Covid-19 patients risking their lives. In [27] the deployment of WMSN is studied for the accomplishment of quality healthcare while reducing the potential threat from Covid-19. A wearable device based on Internet of Medical Things (IoMT) is presented in [28] for the protection from Covid-19 spread through contact tracing and social distancing.…”

Section: Introductionmentioning

confidence: 99%

Symptom Tracking and Experimentation Platform for Covid-19 or Similar Infections

Petrellis

Adam

2021

Computers

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Remote symptom tracking is critical for the prevention of Covid-19 spread. The qualified medical staff working in the call centers of primary health care units have to take critical decisions often based on vague information about the patient condition. The congestion and the medical protocols that are constantly changing often lead to incorrect decisions. The proposed platform allows the remote assessment of symptoms and can be useful for patients, health institutes and researchers. It consists of mobile desktop applications and medical sensors connected to cloud infrastructure. The unique features offered by the proposed solution are: (a) dynamic adaptation of Medical Protocols (MP) is supported (for the definition of alert rules, sensor sampling strategy and questionnaire structure) covering different medical cases (pre- or post-hospitalization, vulnerable population, etc.), (b) anonymous medical data can be statistically processed in the context of the research about an infection such as Covid-19, (c) reliable diagnosis is supported since several factors are taken into consideration, (d) the platform can be used to drastically reduce the congestion in various healthcare units. For the demonstration of (b), new classification methods based on similarity metrics have been tested for cough sound classification with an accuracy in the order of 90%.

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A Review of the Role of Smart Wireless Medical Sensor Network in COVID-19

Cited by 57 publications

References 56 publications

Optimizing and evaluating PCR-based pooled screening during COVID-19 pandemics

Optimizing and evaluating PCR-based pooled screening during COVID-19 pandemics

Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach

Symptom Tracking and Experimentation Platform for Covid-19 or Similar Infections

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