A Single LED Photoplethysmography-Based Noninvasive Glucose Monitoring Prototype System

Hina, Aminah; Nadeem, Hamza; Saadeh, Wala

doi:10.1109/iscas.2019.8702747

Cited by 32 publications

(14 citation statements)

References 18 publications

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“…It achieves an mARD of 7.62 and an R 2 of 0.937. The authors [44][45][46] also use a similar feature set as [38] for glucose estimation. PPG signals of 1 min are recorded from diabetic and non-diabetic subjects.…”

Section: Nir Ppg Signal Analysis With Machine Learningmentioning

confidence: 99%

Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review

Hina

Saadeh

2022

Sensors

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The past few decades have seen ongoing development of continuous glucose monitoring (CGM) systems that are noninvasive and accurately measure blood glucose levels. The conventional finger-prick method, though accurate, is not feasible for use multiple times a day, as it is painful and test strips are expensive. Although minimally invasive and noninvasive CGM systems have been introduced into the market, they are expensive and require finger-prick calibrations. As the diabetes trend is high in low- and middle-income countries, a cost-effective and easy-to-use noninvasive glucose monitoring device is the need of the hour. This review paper briefly discusses the noninvasive glucose measuring technologies and their related research work. The technologies discussed are optical, transdermal, and enzymatic. The paper focuses on Near Infrared (NIR) technology and NIR Photoplethysmography (PPG) for blood glucose prediction. Feature extraction from PPG signals and glucose prediction with machine learning methods are discussed. The review concludes with key points and insights for future development of PPG NIR-based blood glucose monitoring systems.

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Section: Nir Ppg Signal Analysis With Machine Learningmentioning

confidence: 99%

Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review

Hina

Saadeh

2022

Sensors

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“…A non-invasive method for glucose measurement is the use of photoplethysmography [66]. A device with a near-infrared (NIR) LED (940 nm) near a photodiode is used to measure this signal and to correlate it to the glucose concentration in blood.…”

Section: Sensors In Healthcare Home Medical Assistance and Continuomentioning

confidence: 99%

“…A device with a near-infrared (NIR) LED (940 nm) near a photodiode is used to measure this signal and to correlate it to the glucose concentration in blood. A model based on exponential Gaussian process regression was used to estimate the glucose level with 97.5% accuracy for 200 subjects [66]. This kind of operation is highlighted as it is a non-invasive technique, unlike the aforementioned applications, which need an implant on the subject.…”

Section: Sensors In Healthcare Home Medical Assistance and Continuomentioning

confidence: 99%

Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

Nascimento

Bonfati

Freitas

et al. 2020

Sensors

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The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.

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“…This paper presents magnitude and phase-based EIS implemented on-chip for wearable biosensors applications [7]- [10]. In this approach, the requirement of two perfect quadrature signals is bypassed by using just one sinusoidal signal and measuring the magnitude and phase of the response signal as a replacement of its real and imaginary parts.…”

Section: Introductionmentioning

confidence: 99%

An Impedance Measurement SoC with Highly Digital Magnitude and Phase-to-Digital Converter

Qaiser

Khan

Saadeh

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Electrical impedance spectroscopy (EIS) is a powerful technology for accurate disease detection at the pointof-care (POC) from biosensors. Nevertheless, EIS usually involves lock-in amplifiers and mixers to detect both the magnitude and phase of the complex impedances. This paper presents a highly digital impedance measurement system-onchip, which can convert the magnitude and phase of impedance to 10-bits digital codes integrated with a filter-based wide-range programmable sinusoidal wave synthesizer (SWS). The proposed SWS utilizes switched-capacitor circuits such that the corner frequency can be adjusted by changing its switching frequency. The proposed EIS system was fabricated using a 180nm process with an active area of only 0.35 mm 2 . The SWS generates output frequency in the range of 579 µHz-48.9 kHz with measured total harmonic distortion of 0.152% at 100 Hz and 0.116% at 10 kHz. The DNL of the proposed magnitude converter is within −0.34/+0.3 LSB and the INL is around −0.75/+2 LSB. To validate the function of the proposed EIS measurement system, it is utilized to detect the tumor necrosis factor α in biological samples.

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A Single LED Photoplethysmography-Based Noninvasive Glucose Monitoring Prototype System

Cited by 32 publications

References 18 publications

Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review

Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review

Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

An Impedance Measurement SoC with Highly Digital Magnitude and Phase-to-Digital Converter

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