A wearable blood oxygen saturation monitoring system based on bluetooth low energy technology

Chen, Qingguo; Li-qin, Tang

doi:10.1016/j.comcom.2020.05.041

Cited by 27 publications

(13 citation statements)

References 15 publications

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“…Compared to ABG tests, this method is simpler, cheaper, non-invasive and non-painful, but slightly less accurate [ 45 , 46 ]. Many wearables have been designed to monitor this attribute from different parts of the body, such as the wrist, ear and finger [ 47 , 48 , 49 , 50 ], and even using smart textiles [ 51 ].…”

Section: Sensors: Definition and Taxonomymentioning

confidence: 99%

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Batista

Moncusi

López-Aguilar³

et al. 2021

Sensors

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The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people’s welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.

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Section: Sensors: Definition and Taxonomymentioning

confidence: 99%

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Batista

Moncusi

López-Aguilar³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…ISF-based glucose monitors developed in recent years have proven reliable and accurate in research studies 20 , 21 , but their relatively low level of integration limits their application beyond the benchtop. As activity tracking features (e.g., sleep patterns 22 , 23 , heart rate 24 , 25 , blood pressure 26 , 27 , and blood oxygen 28 , 29 ) become increasingly popular in wearable electronics, especially smartwatches and smart bands, ISF-based noninvasive glucose meters could be further consolidated and miniaturized into the form of a watch to better enable continual monitoring. A brief summary and comparison of representative glucose meters based on the same sample extraction mechanism are included in the supplementary material (Table S1 ).…”

Section: Introductionmentioning

confidence: 99%

Highly integrated watch for noninvasive continual glucose monitoring

Chang

Zhang

et al. 2022

Microsyst Nanoeng

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This article reports a highly integrated watch for noninvasive continual blood glucose monitoring. The watch employs a Nafion-coated flexible electrochemical sensor patch fixed on the watchband to obtain interstitial fluid (ISF) transdermally at the wrist. This reverse iontophoresis-based extraction method eliminates the pain and inconvenience that traditional fingerstick blood tests pose in diabetic patients’ lives, making continual blood glucose monitoring practical and easy. All electronic modules, including a rechargeable power source and other modules for signal processing and wireless transmission, are integrated onto a watch face-sized printed circuit board (PCB), enabling comfortable wearing of this continual glucose monitor. Real-time blood glucose levels are displayed on the LED screen of the watch and can also be checked with the smartphone user interface. With 23 volunteers, the watch demonstrated 84.34% clinical accuracy in the Clarke error grid analysis (zones A + B). In the near future, commercial products could be developed based on this lab-made prototype to provide the public with noninvasive continual glucose monitoring.

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“…Wireless wearable systems provide the advantage of utilizing a noninvasive method of deriving physical activities and sending those to a remote user. Typical wearable devices detect vital health signs such as pulse waveform 6 , heart rate 7 , blood oxygen saturation 8 , respiration rate 9 , sweat analyte 10 etc., and incorporate these into everyday lives. Motion is such a desirable health feature for the early detection of any muscular disorders and internal injuries 11 , 12 .…”

Section: Introductionmentioning

confidence: 99%

A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester

Biswas

Adhikari

Gunti

et al. 2022

Sci Rep

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This paper presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL. A constant DC voltage is produced by using a rectifier and a DC–DC converter to power up the motion-sensing read-out circuit. A charge amplifier converts the generated charge into a proportional output voltage, which is transmitted wirelessly to a remote receiver. The harvested DC voltage after the rectifier and DC–DC converter is found to be 3.3 V, having a measured power conversion efficiency (PCE) of the rectifier as high as 40.26% at 5 Hz frequency. The energy harvester demonstrates a linear relationship between the frequency of motion and the generated output power, making it highly suitable as a self-powered wearable motion sensor.

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A wearable blood oxygen saturation monitoring system based on bluetooth low energy technology

Cited by 27 publications

References 15 publications

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Highly integrated watch for noninvasive continual glucose monitoring

A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester

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