Cuffless Blood Pressure Determination Using Photoplethysmogram (PPG) Signal Based on Multiple Linear Regression Analysis

Farjana, Ferdous; Singha, Suvojit Kumar; Farabi, Abdulla Al

doi:10.1109/icsct53883.2021.9642626

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…There are two types of regression, namely simple regression and multiple regression. Simple regression is regression for one independent variable with one dependent variable, while multiple regression is regression for more than one independent variable with one dependent variable (Farjana et al, 2021;Zhao et al, 2020). This research uses a simple regression form because it only involves one independent variable, namely voltage (V), and a dependent variable, namely blood sugar levels (mg/dl).…”

Section: Sample Testingmentioning

confidence: 99%

Non-Invasive Blood Sugar Measuring Tool Using Arduino-Based Linear Regression Method

Ningsih,

Yanti,

Pauzan

2024

IJEC

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Diabetes Mellitus is a disease characterized by high blood sugar levels caused by decreased production or function of the hormone insulin in the body. Traditional tests are usually invasive, involving skin puncture to obtain a blood sample, which can be unsuitable for some sufferers. Non-invasive methods provide a viable alternative for monitoring blood sugar levels. This research aims to create an Arduino-based non-invasive blood sugar level measuring device, leveraging the optical property of laser absorption in liquid media, detected by a photodiode sensor. The primary objective is to develop a device that accurately measures blood sugar levels without the need for invasive procedures. The photodiode sensor outputs voltage, which is then converted into blood sugar level (mg/dl) using a linear regression equation. The derived linear regression equation is y = 31.401 + 36.002x, with a previously obtained correlation value of 0.971 between voltage and blood sugar levels at a significance level of 0.01. The average error value (errata) of this device is 0.0905. The smallest measurement error was observed in patients C and Q, at 0.01 or approximately 1%, while the largest error was in patient L, at 0.22 or around 22%. The contributions of this research include the development of a non-invasive, accurate, and cost-effective method for blood sugar monitoring, potentially improving patient compliance and comfort.

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Section: Sample Testingmentioning

confidence: 99%

Non-Invasive Blood Sugar Measuring Tool Using Arduino-Based Linear Regression Method

Ningsih,

Yanti,

Pauzan

2024

IJEC

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Grid connection method of gravity energy storage generator motor based on voltage index sensitivity analysis

Wang,

Li,

Zhang

et al. 2024

Energy Inform

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The basic requirements for the grid connection of the generator motor of the gravity energy storage system are: the phase sequence, frequency, amplitude, and phase of the voltage at the generator end and the grid end must be consistent. However, in actual working conditions, there will always be errors in the voltage indicators of the generator and grid terminals, resulting in transient impulse currents. In addition, due to the difference between gravity energy storage systems and conventional power generation units, frequent switching between charging and discharging operating conditions is required according to the needs of the power grid. Each switching requires the completion of the generator motor startup and grid connection. If there is always a significant error in the voltage indicators between the generator and grid terminals during frequent grid connection, stable transient surge currents will be generated. Without human intervention, long-term operation will bring hidden dangers to the safety of the grid connected system, leading to a series of consequences such as equipment aging and even damage. In response to the above issues, this article establishes a gravity energy storage power generation/motor grid connection model. Through simulation analysis, the variation law of the weight of the impact of different terminal voltage indicators on the grid connected transient impulse current is summarized. A grid connection method for gravity energy storage systems based on sensitivity analysis of voltage grid connection indicators is proposed. Through simulation verification, this method can significantly reduce the grid connected transient impulse current while improving the success rate of grid connection, The correctness and practicality of the proposed method have been fully verified.

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Cuffless Blood Pressure Determination Using Photoplethysmogram (PPG) Signal Based on Multiple Linear Regression Analysis

Cited by 2 publications

References 10 publications

Non-Invasive Blood Sugar Measuring Tool Using Arduino-Based Linear Regression Method

Non-Invasive Blood Sugar Measuring Tool Using Arduino-Based Linear Regression Method

Grid connection method of gravity energy storage generator motor based on voltage index sensitivity analysis

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