Live Demonstration: A Single LED PPG-Based Noninvasive Glucose Monitoring Prototype System

Hina, Aminah; Nadeem, Hamza; Aslam, Abdul Rehman; Saadeh, Wala

doi:10.1109/iscas.2019.8702241

Cited by 8 publications

(1 citation statement)

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“…Others use machine learning models, like support vector machine [ 155 ] and logistic regression [ 156 ], to differentiate between PPG signals for diabetic patients and non-diabetic patients. With the aid of machine learning techniques, PPG shows advances in measuring glucose levels [ 157 , 158 ]. DNN is used to build a biomarker of diabetes from PPG signals collected using a smartphone app from 53,870 participants [ 159 ].…”

Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual’s quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.

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Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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A 1mW Time Constant Based Impedance Spectroscopy for Non-Invasive Blood Glucose Monitoring

Hina

Saadeh

2021

2021 1st International Conference on Microwave, Antennas &Amp; Circuits (ICMAC)

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A Low-Power Heart Rate Sensor with Adaptive Heartbeat Locked Loop

Chen

Wang

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Photoplethysmography (PPG) is one of the widely used noninvasive heart rate (HR) monitoring techniques in wearable devices. Lighting of the LED dominates the power consumption of a PPG sensor. Lowering the LED lighting duration is an effectively approach to save power. This paper proposes an adaptive heartbeat locked loop (AHBLL) technique, which can dynamically adjust the dividing ratio N according to the heart rate derivative (HRD). In this way, the LED pulse duty cycle can be significantly reduced to save power. To improve the robustness of the AHBLL system, the relationship between HRD and the dividing ratio N is theoretically analyzed, which provides an optimal design guideline. To verify the proposed technique, an HR sensing circuit including an HRD detector is designed and simulated. The results show that the LED power consumption is reduced by 2.2∼3.3× compared with the state-of-the-art heartbeat locked loop (HBLL) technique.

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Live Demonstration: A Single LED PPG-Based Noninvasive Glucose Monitoring Prototype System

Cited by 8 publications

References 0 publications

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

A 1mW Time Constant Based Impedance Spectroscopy for Non-Invasive Blood Glucose Monitoring

A Low-Power Heart Rate Sensor with Adaptive Heartbeat Locked Loop

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