Noninvasive blood oxygen, heartbeat rate, and blood pressure parameter monitoring by photoplethysmography signals

Ku, Chin-Jung; Wang, Yuhling; Chang, Chia‐Yu; Wu, Min-Tse; Dai, Sheng-Tong; Liao, Lun-De

doi:10.1016/j.heliyon.2022.e11698

Cited by 8 publications

(2 citation statements)

References 31 publications

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“…Of the 17 articles, six (35%) used PPG with AI/ML for analytical study patients [15][16][17][18][19][20] , three of which (18%) were PPGs related to endothelial damage and one of them blood pressure profiles [21][22][23] . One of them (5%) was a technical problem in acquisition of PPG signals 24 .…”

Section: Literaturementioning

confidence: 99%

Epidemiological Relationship of Photoplethysmography Signal Derived from Arterial Stiffness and Blood Pressure to Coronary Artery Disease: A Systematic Review

Chaichana,

Sun

2024

Vajira Med J

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Current photoplethysmography (PPG) signals and electronic devices had a lot of attention including analysis of coronary heart disease, ageing of blood vessels, metabolic syndrome, endothelial cell damage, predicting the risk of coronary artery disease, and community-acquired pneumonia. This systematic review aims to analyze current technologies used to measure PPG signals. Analysis of PPG signals with patients involved in coronary artery disease and arterial stiffness and other important interests toward the future trends of computational medicine. The hypothesis is that arterial stiffness is epidemiologically related to the risk of coronary heart disease. A systematic search was conducted in different databases to acquire literature examining the use of PPG with coronary artery disease in terms of epidemiological correlations. Search terms included arterial stiffness, epidemiology, PPG, blood pressure, and coronary artery disease. Articles that do not measure PPG signals on real patients/subjects were excluded from the analysis. A total of 17 studies met the inclusion criteria for this systematic review. Nearly half of the studies used PPG with artificial intelligence/machine learning for analytical study patients, while 18% were PPG studies related to endothelial damage and blood pressure profiles, and another 18% were new development of PPG measurement devices. The rest was PPG analyzing coronary artery disease and atherosclerosis. Systematic review findings reveal PPG applications range from the epidemiology of damaged endothelial cell proliferation to advanced digital PPG analysis. Managing cardiovascular risk and exploring new areas including chronic kidney disease and ovarian cancer must be of interest and considered in future studies.

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Section: Literaturementioning

confidence: 99%

Epidemiological Relationship of Photoplethysmography Signal Derived from Arterial Stiffness and Blood Pressure to Coronary Artery Disease: A Systematic Review

Chaichana,

Sun

2024

Vajira Med J

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“…To be efficiently carried, miniaturized optoelectronics were used. IoT technology and a mature network environment are embedded for wireless usage, and a backend server and user interface are used to demonstrate the physical status of people who are quarantined ( 9 , 10 ). The body temperature, oxygenation, and heart rate are monitored because the virus mainly infects the lungs, which can cause lung inflammation and fever.…”

Section: Introductionmentioning

confidence: 99%

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

Wang

Ching

et al. 2023

Front. Public Health

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The COVID-19 pandemic brought the world to a standstill, posing unprecedented challenges for healthcare systems worldwide. The overwhelming number of patients infected with the virus placed an enormous burden on healthcare providers, who struggled to cope with the sheer volume of cases. Furthermore, the lack of effective treatments or vaccines means that quarantining has become a necessary measure to slow the spread of the virus. However, quarantining places a significant burden on healthcare providers, who often lack the resources to monitor patients with mild symptoms or asymptomatic patients. In this study, we propose an Internet of Things (IoT)-based wearable health monitoring system that can remotely monitor the exact locations and physiological parameters of quarantined individuals in real time. The system utilizes a combination of highly miniaturized optoelectronic and electronic technologies, an anti-epidemic watch, a mini-computer, and a monitor terminal to provide real-time updates on physiological parameters. Body temperature, peripheral oxygen saturation (SpO2), and heart rate are recorded as the most important measurements for critical care. If these three physiological parameters are aberrant, then it could represent a life-endangering situation and/or a short period over which irreversible damage may occur. Therefore, these parameters are automatically uploaded to a cloud database for remote monitoring by healthcare providers. The monitor terminal can display real-time health data for multiple patients and provide early warning functions for medical staff. The system significantly reduces the burden on healthcare providers, as it eliminates the need for manual monitoring of patients in quarantine. Moreover, it can help healthcare providers manage the COVID-19 pandemic more effectively by identifying patients who require medical attention in real time. We have validated the system and demonstrated that it is well suited to practical application, making it a promising solution for managing future pandemics. In summary, our IoT-based wearable health monitoring system has the potential to revolutionize healthcare by providing a cost-effective, remote monitoring solution for patients in quarantine. By allowing healthcare providers to monitor patients remotely in real time, the burden on medical resources is reduced, and more efficient use of limited resources is achieved. Furthermore, the system can be easily scaled to manage future pandemics, making it an ideal solution for managing the health challenges of the future.

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IoT‐Based Hand Hygiene Compliance Monitoring System and Validation of Its Effectiveness in Hospital Environments

Wu,

Lin,

Lee

et al. 2024

Global Challenges

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Healthcare‐associated infection (HAI) is the most common adverse medical event that affects patients. Internationally, healthcare workers (HCWs) are monitored for hand hygiene compliance to reduce HAI risk. While direct observation is considered the gold standard for monitoring, it has several disadvantages. To address this, the study focused on developing a comprehensive hand hygiene system that integrates the Internet of Things (IoT) hand hygiene with soap and water (HHW) and alcohol‐based formulation (HHA) monitoring, incorporates real‐time data visualization on a web interface to track HCWs' hand hygiene practices, and provides instant calculations of compliance and accuracy rates. This IoT system uses Bluetooth for HCW positioning and HHW detection, ultrasonic sensors for handwashing duration, and pressure sensors for HHA detection. Furthermore, a cloud server, database, and website are established to manage and display the data received by the IoT devices. To reduce HAI in Taiwan, hospitals must provide both HHW and HHA systems, and HCWs can choose either method when hand hygiene is necessary. The system achieved 72% accuracy in clinical practice within an adult intensive care unit (ICU).

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Noninvasive blood oxygen, heartbeat rate, and blood pressure parameter monitoring by photoplethysmography signals

Cited by 8 publications

References 31 publications

Epidemiological Relationship of Photoplethysmography Signal Derived from Arterial Stiffness and Blood Pressure to Coronary Artery Disease: A Systematic Review

Epidemiological Relationship of Photoplethysmography Signal Derived from Arterial Stiffness and Blood Pressure to Coronary Artery Disease: A Systematic Review

IoT-based wearable health monitoring device and its validation for potential critical and emergency applications

IoT‐Based Hand Hygiene Compliance Monitoring System and Validation of Its Effectiveness in Hospital Environments

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