Cost-effective vital signs monitoring system for COVID-19 patients in smart hospital

Atta, Raghied M.

doi:10.1007/s12553-021-00621-y

Cited by 14 publications

(7 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Acoustic sensors can also be applied for measuring the respiration rate. These sensors use a highly sensitive microphone which can be placed on neck and still provides high accuracy than chest sensors [77] . The ultrasonic sensing technology can also be applied for sanitizing or disinfection.…”

Section: Results and Overview Of Selected Studiesmentioning

confidence: 99%

A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions

Ali

Khan

2023

Computer Networks

View full text Add to dashboard Cite

Section: Results and Overview Of Selected Studiesmentioning

confidence: 99%

A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions

Ali

Khan

2023

Computer Networks

View full text Add to dashboard Cite

“…Similarly, authors in [ 73 ] proposed a cost-effective wireless smart monitoring system to treat patients in medical centers. The system is efficient in terms of consumption, size, simplicity, and power cost.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges

Krishna

Kumar

Kushwaha

2023

Wireless Pers Commun

View full text Add to dashboard Cite

Sporadic occurrences of transmissible diseases have severe and long-lasting effects on humankind throughout history. These outbreaks have molded the political, economic, and social aspects of human life. Pandemics have redefined some of the basic beliefs of modern healthcare, pushing researchers and scientists to develop innovative solutions to be better equipped for future emergencies. Numerous attempts have been made to fight Covid-19-like pandemics using technologies such as the Internet of Things, wireless body area network, blockchain, and machine learning. Since the disease is highly contagious, novel research in patients’ health monitoring system is essential for the constant monitoring of pandemic patients with minimal or no human intervention. With the ongoing pandemic of SARS-CoV-2, popularly known as Covid-19, innovations for monitoring of patients’ vitals and storing them securely have risen more than ever. Analyzing the stored patients’ data can further assist healthcare workers in their decision-making process. In this paper, we surveyed the research works on remote monitoring of pandemic patients admitted in hospitals or quarantined at home. First, an overview of pandemic patient monitoring is given followed by a brief introduction of enabling technologies i.e. Internet of Things, blockchain, and machine learning to implement the system. The reviewed works have been classified into three categories; remote monitoring of pandemic patients using IoT, blockchain-based storage or sharing platforms for patients’ data, and processing/analyzing the stored patients’ data using machine learning for prognosis and diagnosis. We also identified several open research issues to set directions for future research.

show abstract

“…[49] Deep learning AI, IoT, and related technologies have been applied in biomedical signal monitoring and remote health monitoring. [60] IoT…”

Section: Classic Teleconsultation Model [30]mentioning

confidence: 99%

A Systematic Review on ICT-based Remote and Automatic COVID-19 Patient Monitoring and Care

Chatterjee

Prinz

Riegler

et al. 2023

Preprint

View full text Add to dashboard Cite

Background: e-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICT) to support health and health-related fields. As a result of ICTs, the healthcare sector is undergoing a new revolution and societal governance is becoming more sustainable. As a result of the COVID-19 pandemic, information, and communication technology (ICT) has improved the quality of healthcare and the exchange of information, trained healthcare professionals and patients, and facilitated the relationship between patients and their healthcare providers. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments. This study systematically reviews the literature on ICT-based automatic and remote monitoring methods and different ICT techniques used in the care of COVID-19-infected patients. Objective: The purpose of this systematic review is to identify the e-Health methods, associated information and communication technologies, implementation strategies, information collection techniques, advantages, and disadvantages of remote and automatic patient monitoring and care in COVID-19. Methods: The search included primary studies that were published between January 2020 and June 2022 in scientific and electronic databases, such as EBSCOhost, Scopus, ACM, Nature, SpringerLink, IEEE Xplore, MEDLINE, Google Scholar, JMIR, Web of Science, and PubMed. In this review, the findings from the included publications are presented and elaborated according to the research questions identified. Evidence-based systematic reviews and meta-analyses were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Additionally, we improved the review process using the Rayyan tool and the Scale for the Assessment of Narrative Review Articles (SANRA). Among the eligibility criteria were methodological rigor, conceptual clarity, and useful implementation of ICTs in e-Health for remote and automatic monitoring of COVID-19 patients. Results: Our initial search identified 664 potential studies; 102 were assessed for eligibility in the pre-final stage and 65 articles were used in the final review with inclusion and exclusion criteria. The review identified the following eHealth methods-Telemedicine, Mobile Health (mHealth), and Telehealth. The associated ICTs are Wearable Body Sensors, Artificial Intelligence (AI) algorithms, Internet-of-Things, or Internet-of-Medical-Things (IoT or IoMT), Biometric Monitoring Technologies (BioMeTs), and Bluetooth-enabled (BLE) home health monitoring devices. Spatial or positional data, personal and individual health, and wellness data, including vital signs, symptoms, biomedical images and signals, and lifestyle data are examples of information that is managed by ICTs. Different AI and IoT methods have opened new possibilities for automatic and remote patient monitoring with associated advantages and weaknesses. Our findings were represented in a structured manner using an ontology model. Conclusions: Various e-Health methods, associated remote monitoring technologies, approaches, information types, adoption of ICT tools for automatic remote patient monitoring (RPM), advantages and limitations of RMTs in the COVID-19 case are discussed in this systematic literature review. The use of e-Health during the COVID-19 pandemic illustrates the constraints and possibilities of using ICT. ICTs are not merely an external tool to achieve definite remote and automatic health monitoring goals; instead, they are embedded in contexts. Therefore, the importance of the mutual design process between ICT and society during the global health crisis has been observed from a social informatics perspective. A global health crisis can be observed as an information crisis (e.g., insufficient information, unreliable information, and inaccessible information); however, this review shows the influence of ICTs on COVID-19 patients' health monitoring and related information collection techniques.

show abstract

Cost-effective vital signs monitoring system for COVID-19 patients in smart hospital

Cited by 14 publications

References 66 publications

A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions

A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions

A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges

A Systematic Review on ICT-based Remote and Automatic COVID-19 Patient Monitoring and Care

Contact Info

Product

Resources

About