Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)

Bai, Li; Yang, Dawei; Wang, Xun; Lin, Tong; Zhu, Xiaodan; Zhong, Nanshan; Bai, Chunxue; Powell, Charles A.; Chen, Rongchang; Zhou, Jian; Song, Yuanlin; Zhou, Xin; Zhu, Huili; Han, Baohui; Li, Qiang; Shi, Guochao; Li, Shengqing; Wang, Changhui; Qiu, Zhongmin; Zhang, Yong; Xu, Yu; Liu, Jie; Zhang, Ding; Wu, Chao; Li, Jing; Yu, Jinming; Wang, Jiwei; Dong, Chunling; Wang, Yaoli; Wang, Qi; Zhang, Lichuan; Zhang, Min; Ma, Xuchu; Zhao, Lin; Yu, Wencheng; Xu, Tao; Jin, Yang; Wang, Xiongbiao; Wang, Yuehong; Yan, Jiang; Chen, Hong; Xiao, Kui; Zhang, Xiaoju; Song, Zifang; Zhang, Ziqiang; Wu, Xueling; Sun, Jiayuan; Shen, Yao; Ye, Maosong; Tu, Chunlin; Jiang, Jinjun; Yu, Hai; Tan, Fei

doi:10.1016/j.ceh.2020.03.001

Cited by 194 publications

(161 citation statements)

References 7 publications

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“…It has been shown that respiratory complications are major causes of prolonged hospital stay, poor overall outcomes, and increased mortality [5][6][7]. Outbreaks of respiratory syndromes such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and the currently ongoing COVID-19 pandemic [8] further emphasize the importance of tools for an early diagnosis [9]. From the described situation, it becomes evident that cardiorespiratory monitoring is one of the major fields to be addressed in the future.…”

Section: Clinical Background and State-of-the-artmentioning

confidence: 99%

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

Klum

Tigges

Pielmuş

et al. 2020

Sensors

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Cardiovascular diseases are the main cause of death worldwide, with sleep disordered breathing being a further aggravating factor. Respiratory illnesses are the third leading cause of death amongst the noncommunicable diseases. The current COVID-19 pandemic, however, also highlights the impact of communicable respiratory syndromes. In the clinical routine, prolonged postanesthetic respiratory instability worsens the patient outcome. Even though early and continuous, long-term cardiorespiratory monitoring has been proposed or even proven to be beneficial in several situations, implementations thereof are sparse. We employed our recently presented, multimodal patch stethoscope to estimate Einthoven electrocardiogram (ECG) Lead I and II from a single 55 mm ECG lead. Using the stethoscope and ECG subsystems, the pre-ejection period (PEP) and left ventricular ejection time (LVET) were estimated. ECG-derived respiration techniques were used in conjunction with a novel, phonocardiogram-derived respiration approach to extract respiratory parameters. Medical-grade references were the SOMNOmedics SOMNO HD TM and Osypka ICON-Core TM . In a study including 10 healthy subjects, we analyzed the performances in the supine, lateral, and prone position. Einthoven I and II estimations yielded correlations exceeding 0.97. LVET and PEP estimation errors were 10% and 21%, respectively. Respiratory rates were estimated with mean absolute errors below 1.2 bpm, and the respiratory signal yielded a correlation of 0.66. We conclude that the estimation of ECG, PEP, LVET, and respiratory parameters is feasible using a wearable, multimodal acquisition device and encourage further research in multimodal signal fusion for respiratory signal estimation.

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Section: Clinical Background and State-of-the-artmentioning

confidence: 99%

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

Klum

Tigges

Pielmuş

et al. 2020

Sensors

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“…Earlier hands-on input from respiratory specialists may also have been valuable. To address these issues, Bai and colleagues are developing a handheld, web-based tool to identify and manage suspected COVID-19 patients (8). This approach, called nCAPP, uses a handheld device that performs eight functions: patient identification, consultation with simple questions, diagnostic suggestions, treatment recommendations, identification of local experts, mapping of disease locations, advice about self-protection, and dissemination of resources to control the disease.…”

mentioning

confidence: 99%

Rising to the Challenge of COVID-19: Advice for Pulmonary and Critical Care and an Agenda for Research

Niederman

Richeldi

Chotirmall

et al. 2020

Am J Respir Crit Care Med

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“…10,11,17 Chinese researchers have been probing IoT and cloud computing systems to help diagnose Covid-19 suspect cases. 18 Azizi et al, 19 also considered the necessity to use digital health and the IoT to provide effective Covid-19 pandemic responses. Vaishya et al, 20 discussed the usage of artificial intelligence for COVID-19 management.…”

Section: Novel Information Technology Capabilitiesmentioning

confidence: 99%

Investigating the capabilities of information technologies to support policymaking in COVID‐19 crisis management; a systematic review and expert opinions

Mehraeen

Dadkhah

Mehraeen

2020

Eur J Clin Investigation

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Background: Today, numerous countries are fighting to protect themselves against the Covid-19 crisis, while the policymakers are confounded and empty handed in dealing with this chaotic circumstance. The infection and its impacts have made it difficult to make optimal and suitable decisions. New information technologies play significant roles in such critical situations to address and relieve stress during the coronavirus crisis. This article endeavours to recognize the challenges policymakers have typically experienced during pandemic diseases, including Covid-19, and, accordingly, new information technology capabilities to encounter with them. Material and methods: The current study utilizes the synthesis of findings of experts' opinions within the systematic review process as the research method to recognize the best available evidence drawn from text and opinion to offer practical guidance for policymakers. Results: The results illustrate that the challenges fall into two categories including; encountering the disease and reducing the results of the disease. Furthermore, Internet of things, cloud computing, machine learning and social networking play the most significant roles to address these challenges.

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Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)

Cited by 194 publications

References 7 publications

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

Rising to the Challenge of COVID-19: Advice for Pulmonary and Critical Care and an Agenda for Research

Investigating the capabilities of information technologies to support policymaking in COVID‐19 crisis management; a systematic review and expert opinions

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