IoT-based smart triage of Covid-19 suspicious cases in the Emergency Department

Fyntanidou, Barbara; Zouka, M.; Apostolopoulou, Aikaterini; Bamidis, Panagiotis D.; Billis, Antonis; Mitsopoulos, Konstantinos; Angelidis, Pantelis; Fourlis, Alexis

doi:10.1109/gcwkshps50303.2020.9367584

Cited by 16 publications

(6 citation statements)

References 15 publications

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“…Since the presence of motion artifact in the ECG signal may corrupt the ECG waveform resulting in an incorrect diagnosis of heart disease in medical, or performance in sports and well-being, the motion artifact reduction system proposed in this paper can effectively improve the quality of the ECG signal and reduce the possibility of misdiagnosis. In the recent COVID-19 outbreaks, there was a huge demand for wearable health systems that measure heart rate and respiration [ 41 ], and these systems also faced motion artifact interference when measuring vital signs. Our method offers a possible solution to these systems, paving the way for truly wearable ECG systems of wider end uses.…”

Section: Discussionmentioning

confidence: 99%

Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography Signal

Liu

Zhao

et al. 2022

Sensors

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Noise is a common problem in wearable electrocardiogram (ECG) monitoring systems because the presence of noise can corrupt the ECG waveform causing inaccurate signal interpretation. By comparison with electromagnetic interference and its minimization, the reduction of motion artifact is more difficult and challenging because its time-frequency characteristics are unpredictable. Based on the characteristics of motion artifacts, this work uses adaptive filtering, a specially designed ECG device, and an Impedance Pneumography (IP) data acquisition system to combat motion artifacts. The newly designed ECG-IP acquisition system maximizes signal correlation by measuring both ECG and IP signals simultaneously using the same pair of electrodes. Signal comparison investigations between ECG and IP signals under five different body motions were carried out, and the Pearson Correlation Coefficient |r| was higher than 0.6 in all cases, indicating a good correlation. To optimize the performance of adaptive motion artifact reduction, the IP signal was filtered to a 5 Hz low-pass filter and then fed into a Recursive Least Squares (RLS) adaptive filter as a reference input signal. The performance of the proposed motion artifact reduction method was evaluated subjectively and objectively, and the results proved that the method could suppress the motion artifacts and achieve minimal distortion to the denoised ECG signal.

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Section: Discussionmentioning

confidence: 99%

Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography Signal

Liu

Zhao

et al. 2022

Sensors

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“…Only in this way can users be effectively monitored. Fyntanidou's team [ 2 ] has developed a wrist-worn wearable device that uses advanced digital signal processing algorithms to continuously extract heart rate, oxygen saturation, body temperature estimates, etc. Like smart helmets, wrist-worn wearable devices can transmit processed data to an app or a designated third-party mobile port in a timely manner through mobile communication protocols.…”

Section: New Methods For Covid-19 Prevention and Control: Wearable Devicesmentioning

confidence: 99%

“…Monitoring the screening process Fyntanidou's team [2] Vital signs can be continuously monitored. Prioritizing emergency department patients Ashraf et al [3] It warns individuals of their fever in advance.…”

Section: Authorsmentioning

confidence: 99%

AIoT Used for COVID-19 Pandemic Prevention and Control

Chen

Wang

et al. 2021

Contrast Media & Molecular Imaging

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The pandemic of COVID-19 is continuing to wreak havoc in 2021, with at least 170 million victims around the world. Healthcare systems are overwhelmed by the large-scale virus infection. Luckily, Internet of Things (IoT) is one of the most effective paradigms in the intelligent world, in which the technology of artificial intelligence (AI), like cloud computing and big data analysis, is playing a vital role in preventing the spread of the pandemic of COVID-19. AI and 5G technologies are advancing by leaps and bounds, further strengthening the intelligence and connectivity of IoT applications, and conventional IoT has been gradually upgraded to be more powerful AI + IoT (AIoT). For example, in terms of remote screening and diagnosis of COVID-19 patients, AI technology based on machine learning and deep learning has recently upgraded medical equipment significantly and has reshaped the workflow with minimal contact with patients, so medical specialists can make clinical decisions more efficiently, providing the best protection not only to patients but also to specialists themselves. This paper reviews the latest progress made in combating COVID-19 with both IoT and AI and also provides comprehensive details on how to combat the pandemic of COVID-19 as well as the technologies that may be applied in the future.

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“…This is the only way to effectively monitor users. Using powerful digital signal processing methods, Fyntanidou’s team developed a wrist-worn wearable device that continuously extracts vital signs such as the heart rate, oxygen saturation, and body temperature [ 98 , 103 ].…”

Section: The Iot and Pandemic Controlmentioning

confidence: 99%

A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

Salih

Rashid

Radovanović

et al. 2022

Sensors

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There is no doubt that new technology has become one of the crucial parts of most people’s lives around the world. By and large, in this era, the Internet and the Internet of Things (IoT) have become the most indispensable parts of our lives. Recently, IoT technologies have been regarded as the most broadly used tools among other technologies. The tools and the facilities of IoT technologies within the marketplace are part of Industry 4.0. The marketplace is too regarded as a new area that can be used with IoT technologies. One of the main purposes of this paper is to highlight using IoT technologies in Industry 4.0, and the Industrial Internet of Things (IIoT) is another feature revised. This paper focuses on the value of the IoT in the industrial domain in general; it reviews the IoT and focuses on its benefits and drawbacks, and presents some of the IoT applications, such as in transportation and healthcare. In addition, the trends and facts that are related to the IoT technologies on the marketplace are reviewed. Finally, the role of IoT in telemedicine and healthcare and the benefits of IoT technologies for COVID-19 are presented as well.

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IoT-based smart triage of Covid-19 suspicious cases in the Emergency Department

Cited by 16 publications

References 15 publications

Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography Signal

Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography Signal

AIoT Used for COVID-19 Pandemic Prevention and Control

A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

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