Non-invasive measurement of blood components

Kraitl,; Timm,; Ewald,; Lewis, Elfed

doi:10.1109/icsenst.2011.6136976

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…The method is called the photoplethysmography method (PPG). PPG is the method used for measuring the transmission or reflection of light through the blood volume for observing the pulsatile changes of blood volume in the microvascular bed of the tissue [11,12]. Thus, blood plasma volume can be calculated, leaving only the absorption of the hemoglobin.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Portable Hemoglobin Concentration Monitoring System Using Optical Sensor for Anemia Disease

Pintavirooj

Chatkobkool

et al. 2021

Healthcare

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Anemia is a condition in which red blood cells are not able to carry adequate oxygen to the body’s tissues, and is widely found in nearly a quarter of the world population. The typical method to screen for the iron-deficiency anemia, which is the major anemia found in the world, is to implement a blood test called a complete blood count (CBC). However, even though this test gives a highly accurate result, it requires an invasive blood drawing and lab analyzing which could potentially cause physical pain, high risk of infection and take a long time to analyze. Therefore, this research presents an alternative method using an optical technique to measure hemoglobin concentration, which is the common indicator for diagnosing anemia. The light absorbance of the oxyhemoglobin at the wavelength of 660 nm and the deoxyhemoglobin at the wavelength of 880 nm were measured using the MAX30100 sensor. These wavelengths of light are obtained from red and infrared (IR) LEDs. The concept is based on the different absorption coefficients of blood at different electromagnetic wavelengths. This fact is used to indirectly calculate the hemoglobin concentration of blood through the modified Beer–Lambert law. Moreover, the result has been further converted to absolute hemoglobin concentration using a calibration curve derived from the cyanmethemoglobin test, which is the regular method for hemoglobin determination. Besides, the android application was also provided which can wirelessly record or monitor the data. The experiment shows that an accuracy of 90.9% can be achieved by our proposed noninvasive method. Therefore, the noninvasive portable hemoglobin concentration monitoring by the optical sensor has an acceptable result when compared with the invasive method, with less pain and lower risk of infection, as well as shorter processing time.

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Section: Introductionmentioning

confidence: 99%

Noninvasive Portable Hemoglobin Concentration Monitoring System Using Optical Sensor for Anemia Disease

Pintavirooj

Chatkobkool

et al. 2021

Healthcare

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“…Intracoronary blood Reynolds number is between 900 and 1000, which is a state of laminar flow. 15 Therefore, the laminar flow model (Laminar) is used for calculation.…”

Section: Hemodynamic Simulation Analysismentioning

confidence: 99%

Coronary hemodynamic simulation study

Cheng,

Chen,

Yang

et al. 2024

Proc Inst Mech Eng H

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In this paper, a two-way fluid-structure coupling model is developed to simulate and analyze the hemodynamic process based on dynamic coronary angiography, and examine the influence of different hemodynamic parameters on coronary arteries in typical coronary stenosis lesions. Using the measured FFR pressure data of a patient, the pressure-time function curve is fitted to ensure the accuracy of the boundary conditions. The average error of the simulation pressure results compared to the test data is 6.74%. In addition, the results related to blood flow, pressure contour and wall shear stress contour in a typical cardiac cycle are obtained by simulation analysis. These results are found to be in good agreement with the laws of the real cardiac cycle, which verifies the rationality of the simulation. In conclusion, based on the modeling and hemodynamic simulation analysis process of dynamic coronary angiography, this paper proposes a method to assist the analysis and evaluation of coronary hemodynamic and functional parameters, which has certain practical significance.

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“…PPG signals are recorded using optical sensors. Some researchers used PPG signals to estimate heart rate and oxygen saturation levels; in this way, they made important contributions to diagnosing respiratory problems and sleep apnea (Oğuz et al, 2023;El-Hajj and Kyriacou, 2020;McDuff et al, 2014;Salehizadeh et al, 2014;Lázaro et al, 2014;Yousef et al, 2012;Shin et al, 2009;Suzuki et al, 2009;Arnold et al, 2007;Johnston, 2006;Kim and Yoo, 2006;Kraitl and Ewald, 2005). Also, a growing number of research have been focused on the estimation of BP using PPG signals (El-Hajj and Kyriacou, 2020).…”

Section: Introductionmentioning

confidence: 99%

Senkron Sikiştirma Dönüşümü Ve Deri̇n Öğrenme Kullanilarak Fotopleti̇smografi̇ Tabanli Kan Basinci Kesti̇ri̇mi̇

HEKİM TANÇ,

ÖZTÜRK

2024

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi

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Cardiovascular diseases are one of the deadliest health problems. Hypertension is the most common reason for cardiovascular diseases. Keeping the blood pressure (BP) level under control is the only way to protect against the deadly results of hypertension. Therefore, monitoring BP regularly makes it possible to detect dangerous conditions in patients with hypertension. With the rapid developments in computers and sensor technologies, it is becoming possible to monitor BP levels continuously by using photoplethysmogram (PPG) signals. This work presents a non-invasive BP prediction method using one channel PPG signal. We employed the Synchrosqueezing Transform to obtain Time-Frequency (TF) images of the PPG signals. The TF images were used to feed a pre-trained deep neural network. We estimated the BP levels inside the 5-second intervals. Our method estimates BP levels with a mean error (ME) of 0.2148 mmHg and -0.0370 mmHg in the systolic and diastolic blood pressure (SBP and DBP) respectively. The ME values of our method are in the applicable levels. The standard deviation (SD) of our method is 5.0642 mmHg for DBP and 10.9904 mmHg for SBP. The upper limit specified by the AAMI is 8 mmHg. Also, our method is coherent with grades A and B according to the BHS standard.

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Non-invasive measurement of blood components

Cited by 10 publications

References 5 publications

Noninvasive Portable Hemoglobin Concentration Monitoring System Using Optical Sensor for Anemia Disease

Noninvasive Portable Hemoglobin Concentration Monitoring System Using Optical Sensor for Anemia Disease

Coronary hemodynamic simulation study

Senkron Sikiştirma Dönüşümü Ve Deri̇n Öğrenme Kullanilarak Fotopleti̇smografi̇ Tabanli Kan Basinci Kesti̇ri̇mi̇

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