A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring

Haghi, Mostafa; Neubert, S.; Geißler, André; Fleischer, Heidi; Stoll, Norbert; Thurow, Kerstin

doi:10.1109/jiot.2020.2980432

Cited by 112 publications

(56 citation statements)

References 50 publications

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“…Haghi et al [44] developed an end-to-end solution that combines and synchronizes collected physiological, behavioral, and environmental parameters using wearable wireless devices and a flexible IoT gateway to support several private and open sensor applications. The solution proposes a data management and analytics layer, including external systems (e.g., Fitbit, Nokia, and Garmin cloud applications) as part of this layer.…”

Section: Related Workmentioning

confidence: 99%

“…Dynamics Reliability Privacy Target (Ubiquitous) Interface to other systems/devices Middleware Health Assessment Mobility / Wireless Design and Technology Data protection Consent Platform [43] Covid-19. Clinical settings N/D N/D Machine Learning Yes / Yes Focused on predictive models N/D N/D [30] Ebola Clinical settings N/D N/D Machine Learning No / Yes High-acuity of monitored data N/D N/D [44] General Clinical settings Only for devices N/D Not clear Yes / Yes Notification layer Yes N/D [19] Chronic diseases Clinical settings N/D N/D Pre-defined thresholds Yes / Yes Radio communication N/D N/D [13] General Clinical settings N/D N/D Machine Learning N/D N/D N/D N/D [45] General. Clinical settings and home Devices Hospital systems Yes Semantic rules Yes / Yes MONERE YOAPY protocol Yes N/D [46] COVID-19 Clinical settings Based on HL7 standard Yes Thresholds Machine Learning Customizable No / Yes IEC standard Yes N/D Our work (*) ...…”

Section: Related Workmentioning

confidence: 99%

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A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

et al. 2022

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Due to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe cases, and remotely assessing patients’ status. Internet of Things (IoT) technologies have been used for monitoring patients’ health with wireless wearable sensors in different scenarios and medical conditions, such as noncommunicable and infectious diseases. Combining IoT-related technologies with early-warning scores (EWS) commonly utilized in infirmaries has the potential to enhance health services delivery significantly. Specifically, the NEWS-2 has been showing remarkable results in detecting the health deterioration of COVID-19 patients. Although the literature presents several approaches for remote monitoring, none of these studies proposes a customized, complete, and integrated architecture that uses an effective early-detection mechanism for COVID-19 and that is flexible enough to be used in hospital wards and at home. Therefore, this article's objective is to present a comprehensive IoT-based conceptual architecture that addresses the key requirements of scalability, interoperability, network dynamics, context discovery, reliability, and privacy in the context of remote health monitoring of COVID-19 patients in hospitals and at home. Since remote monitoring of patients at home (essential during a pandemic) can engender trust issues regarding secure and ethical data collection, a consent management module was incorporated into our architecture to provide transparency and ensure data privacy. Further, the article details mechanisms for supporting a configurable and adaptable scoring system embedded in wearable devices to increase usefulness and flexibility for health care professions working with EWS.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

et al. 2022

View full text Add to dashboard Cite

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“…The physiological area may consist of vital signs as well as skin conductance [27]. Toxic and hazardous gas pollutants, ultraviolet (UV) radiation, sound level, air pressure, temperature, and humidity are the effective parameters in the environmental area [28]. Finally, stress and strain can be the most valuable parameters in the psychological aspect [29].…”

Section: Definition Of Wearables Applications and Our Contributionsmentioning

confidence: 99%

General Conceptual Framework of Future Wearables in Healthcare: Unified, Unique, Ubiquitous, and Unobtrusive (U4) for Customized Quantified Output

Haghi

Deserno

2020

Chemosensors

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We concentrate on the importance and future conceptual development of wearable devices as the major means of personalized healthcare. We discuss and address the role of wearables in the new era of healthcare in proactive medicine. This work addresses the behavioral, environmental, physiological, and psychological parameters as the most effective domains in personalized healthcare, and the wearables are categorized according to the range of measurements. The importance of multi-parameter, multi-domain monitoring and the respective interactions are further discussed and the generation of wearables based on the number of monitoring area(s) is consequently formulated.

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“…Mobile health (mHealth) [ 12 ], electronic health (eHealth) [ 13 ], and the Internet of medical things (IoMT) [ 14 ] shift the traditional methodology (i.e., symptom → diagnosis → treatment) towards health protection (i.e., monitoring → prediction → prevention) [ 15 ]. This includes continuous, comprehensive, and simultaneous monitoring of all important influencing domains effecting healthcare [ 16 ]. At present, the management of chronic diseases is mostly reactive, which imposes additional costs and efforts on patient care systems [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

Haghi

Danyali

Ayasseh

et al. 2021

Sensors

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The World Health Organization (WHO) recognizes the environmental, behavioral, physiological, and psychological domains that impact adversely human health, well-being, and quality of life (QoL) in general. The environmental domain has significant interaction with the others. With respect to proactive and personalized medicine and the Internet of medical things (IoMT), wearables are most important for continuous health monitoring. In this work, we analyze wearables in healthcare from a perspective of innovation by categorizing them according to the four domains. Furthermore, we consider the mode of wearability, costs, and prolonged monitoring. We identify features and investigate the wearable devices in the terms of sampling rate, resolution, data usage (propagation), and data transmission. We also investigate applications of wearable devices. Web of Science, Scopus, PubMed, IEEE Xplore, and ACM Library delivered wearables that we require to monitor at least one environmental parameter, e.g., a pollutant. According to the number of domains, from which the wearables record data, we identify groups: G1, environmental parameters only; G2, environmental and behavioral parameters; G3, environmental, behavioral, and physiological parameters; and G4 parameters from all domains. In total, we included 53 devices of which 35, 9, 9, and 0 belong to G1, G2, G3, and G4, respectively. Furthermore, 32, 11, 7, and 5 wearables are applied in general health and well-being monitoring, specific diagnostics, disease management, and non-medical. We further propose customized and quantified output for future wearables from both, the perspectives of users, as well as physicians. Our study shows a shift of wearable devices towards disease management and particular applications. It also indicates the significant role of wearables in proactive healthcare, having capability of creating big data and linking to external healthcare systems for real-time monitoring and care delivery at the point of perception.

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A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring

Cited by 112 publications

References 50 publications

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home

General Conceptual Framework of Future Wearables in Healthcare: Unified, Unique, Ubiquitous, and Unobtrusive (U4) for Customized Quantified Output

Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

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