Study on Heartbeat Information Acquired from Pressure Cushion Based on Body Sensor Network

Bao, Junrong; Shou, Xiaoyun; Wang, Hua; Yang, Haiyan

doi:10.1109/greencom-ithings-cpscom.2013.190

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Internet of Things (IoT) develops a linkage between “things”, such as devices, gadgets, vehicles, and sensors. Likewise, the medical Internet of Things (MIoT)-based cardiovascular healthcare system monitors the physical symptoms [ 5 ] of cardiac patients at a very reasonable cost. These physical symptoms include temperature, blood pressure (BP), SPO2, and heartbeat, along with ECG [ 6 ] and associated numerical measurements.…”

Section: Discussionmentioning

confidence: 99%

“…Medical IoT (MIoT) is a cutting-edge technology that functions by exploiting the advantages of the Internet at a very affordable cost with minimum effort. The MIoT-based cardiac system guarantees monitoring the physical symptoms [ 5 ] of cardiac patients, such as temperature, Blood Pressure (BP), Oxygen Saturation (SPO2), Electrocardiogram (ECG), Heart Rate (HR) [ 6 ], and linked environmental parameters effectively and without any failure. The MIoT cardiac care framework is a customized paradigm that meets the requisite medical and safety standards of pervasive cardiac healthcare, including serious heart-related issues.…”

Section: Introductionmentioning

confidence: 99%

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E-Cardiac Care: A Comprehensive Systematic Literature Review

Umar

Nayab

Irfan

et al. 2022

Sensors

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The Internet of Things (IoT) is a complete ecosystem encompassing various communication technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial Intelligence (AI) have enhanced the traditional healthcare system considerably. The conventional healthcare system faces many challenges, including avoidable long wait times, high costs, a conventional method of payment, unnecessary long travel to medical centers, and mandatory periodic doctor visits. A Smart healthcare system, Internet of Things (IoT), and AI are arguably the best-suited tailor-made solutions for all the flaws related to traditional healthcare systems. The primary goal of this study is to determine the impact of IoT, AI, various communication technologies, sensor networks, and disease detection/diagnosis in Cardiac healthcare through a systematic analysis of scholarly articles. Hence, a total of 104 fundamental studies are analyzed for the research questions purposefully defined for this systematic study. The review results show that deep learning emerges as a promising technology along with the combination of IoT in the domain of E-Cardiac care with enhanced accuracy and real-time clinical monitoring. This study also pins down the key benefits and significant challenges for E-Cardiology in the domains of IoT and AI. It further identifies the gaps and future research directions related to E-Cardiology, monitoring various Cardiac parameters, and diagnosis patterns.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%