More Web Proxy on the site http://driver.im/

Paper Titles

Novel Carbidopa Functionalised Silver Nanoparticles a Selective Detection for Lead and Levodopa
p.21

Synthetic and Natural Polymeric Drug Delivery Systems - A Comprehensive Overview of Polycaprolactone and Glucan Particles
p.39

Synthesis Techniques of Bioceramic Hydroxyapatite for Biomedical Applications
p.59

Improvement in Bioactivity Properties of Hydroxyapatite Coated Ti-6Al-4V ELI with Addition of Zirconium Oxide for Orthopaedic Implant
p.81

Optimizing the Surface Properties of Zirconium Implants with Germanium Coating
p.91

Forecasting Approach to Investigate Dynamic Growth of Organoid within 3D Matrix for Distinct Perspective
p.107

Evaluation of the Malalignment Varus - Valgus in Total Knee Arthroplasty Designed for Deep Knee Flexion Using Knee Kinematic Motion Simulator
p.119

Performance Comparison for Hearth Rate Signal Detection for Different Location in Fingertip and Wrist Using Sensor MAX30102
p.131

The Evaluation of Complementary Metal-Oxide Semiconductor (CMOS) in Smartphone to Test X-Ray Tube Radiation Leakage
p.145

HomeJournal of Biomimetics, Biomaterials and...Journal of Biomimetics, Biomaterials and...Performance Comparison for Hearth Rate Signal...

Performance Comparison for Hearth Rate Signal Detection for Different Location in Fingertip and Wrist Using Sensor MAX30102

Article Preview

Abstract:

Abstract. Measuring vital body signals is essential to measure basic body functions, prevent misdiagnosis, detect underlying health problems and motivate healthy lifestyle changes. Vital body signals are measured at the fingertips because the skin is thin, and the blood vessels are transparent. Visible light is passed at the fingertips, and the pulses generated are still acceptable on the outer nail. However, the body's vital signal measuring device continuously attached to the fingertip causes discomfort to the user. Therefore, in this study, it is proposed to measure the body's vital signals in other body parts. The wrist was chosen to be attached to the body's vital signal measuring device because the measuring device attached to the wrist allows it to continue to be used. This study aims to measure the body's vital signals, especially heart rate, on the wrist so that the correlation level of the measurement data is known. The main contribution of this study is built an electronic system to measure vital body signals, especially heart rate at the wrist with the help of the MAX30102 sensor that uses visible light with 650 - 670 nm. The MAX30102 sensor, which uses visible light with 650 - 670 nm, was selected for measurement. The ratio of the light reflected through the fingertips compared to the wrist. The result of measuring the heart rate signal on the wrist is in the form of a relatively flat wave so that the data sharpening process is carried out using the detrend method. The results showed that the measurement of heart rate signals at the wrist and fingertips of 15 respondents had accuration 85%. The accuration value shows that the data from the heart rate signal at the wrist is closely correlated with the data from the measurement of the heart rate signal at the fingertips. Therefore, measurements of heart rate signals, usually performed on the fingertips, can also be performed on the wrist. From the test results with a strong accuration, measurements are always taken when the hand can measure the place to measure vital signals, which is usually done at the fingertips.

You might also be interested in these eBooks

Electronics, Biomedical Engineering, and Health Informatics (3rd edition)

Journal of Biomimetics, Biomaterials and Biomedical Engineering Vol. 59

Info:

Periodical:

Journal of Biomimetics, Biomaterials and Biomedical Engineering (Volume 59)

Pages:

131-143

DOI:

https://doi.org/10.4028/p-op1nzx

Citation:

Cite this paper

Online since:

February 2023

Authors:

Rohmat Gunawan, Asep Andang*, Muhammad Ridwan

Keywords:

Detrend, Fingertip, Heart Rate, MAX30102, Wrist

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

Сopyright:

© 2023 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] F. Vatansever and M. R. Hamblin, Far infrared radiation (FIR): its biological effects and medical applications.,, Photonics Lasers Med., vol. 4, no. 2, p.255–266, Nov. 2012,.

DOI: 10.1515/plm-2012-0034

[2] A. S. Hussain, H. S. Hussain, N. Betcher, R. Behm, and B. Cagir, Proper use of noncontact infrared thermometry for temperature screening during COVID-19,, Sci. Rep., vol. 11, no. 1, p.11832, Dec. 2021,.

DOI: 10.1038/s41598-021-90100-1

[3] M. Bardou, P. Seng, L. Meddeb, J. Gaudart, E. Honnorat, and A. Stein, Modern approach to infectious disease management using infrared thermal camera scanning for fever in healthcare settings,, J. Infect., vol. 74, no. 1, p.95–97, Jan. 2017,.

DOI: 10.1016/j.jinf.2016.08.017

[4] S. De Bruyne, M. M. Speeckaert, and J. R. Delanghe, Applications of mid-infrared spectroscopy in the clinical laboratory setting,, Crit. Rev. Clin. Lab. Sci., vol. 55, no. 1, p.1–20, Jan. 2018,.

DOI: 10.1080/10408363.2017.1414142

[5] R. Selvaraj, N. J. Vasa, S. M. S. Nagendra, and B. Mizaikoff, Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics,, Molecules, vol. 25, no. 9, p.2227, May 2020,.

DOI: 10.3390/molecules25092227

[6] T. Koyama, N. Shibata, S. Kino, A. Sugiyama, N. Akikusa, and Y. Matsuura, A Compact Mid-Infrared Spectroscopy System for Healthcare Applications Based on a Wavelength-Swept, Pulsed Quantum Cascade Laser,, Sensors, vol. 20, no. 12, p.3438, Jun. 2020,.

DOI: 10.3390/s20123438

[7] M. A. Naeser, M. D. Ho, P. I. Martin, M. R. Hamblin, and B.-B. Koo, Increased Functional Connectivity Within Intrinsic Neural Networks in Chronic Stroke Following Treatment with Red/Near-Infrared Transcranial Photobiomodulation: Case Series with Improved Naming in Aphasia,, Photobiomodulation, Photomedicine, Laser Surg., vol. 38, no. 2, p.115–131, Feb. 2020,.

DOI: 10.1089/photob.2019.4630

[8] K.-S. Hong and M. A. Yaqub, Application of functional near-infrared spectroscopy in the healthcare industry: A review,, J. Innov. Opt. Health Sci., vol. 12, no. 06, p.1930012, Nov. 2019,.

DOI: 10.1142/s179354581930012x

[9] M. R. Hamblin, Photobiomodulation for traumatic brain injury and stroke,, J. Neurosci. Res., vol. 96, no. 4, p.731–743, Apr. 2018,.

[10] P. Jain, A. M. Joshi, and S. P. Mohanty, iGLU: An Intelligent Device for Accurate Noninvasive Blood Glucose-Level Monitoring in Smart Healthcare,, IEEE Consum. Electron. Mag., vol. 9, no. 1, p.35–42, Jan. 2020,.

DOI: 10.1109/mce.2019.2940855

[11] S. Badriah, Y. Bahtiar, and A. Andang, Near Infrared LEDs-Based Non-Invasive Blood Sugar Testing for Detecting Blood Sugar Levels on Diabetic Care,, J. Biomimetics, Biomater. Biomed. Eng., vol. 55, p.183–191, Mar. 2022,.

DOI: 10.4028/p-vthp40

[12] B. Javid, F. Fotouhi-Ghazvini, and F. Zakeri, Noninvasive optical diagnostic techniques for mobile blood glucose and bilirubin monitoring,, J. Med. Signals Sensors, vol. 8, no. 3, p.125, 2018,.

DOI: 10.4103/jmss.jmss_8_18

[13] P. Pellicori et al., Non-invasive measurement of right atrial pressure by near-infrared spectroscopy: preliminary experience. A report from the SICA-HF study,, Eur. J. Heart Fail., vol. 19, no. 7, p.883–892, Jul. 2017,.

DOI: 10.1002/ejhf.825

[14] H. Xu, J. Liu, J. Zhang, G. Zhou, N. Luo, and N. Zhao, Flexible Organic/Inorganic Hybrid Near-Infrared Photoplethysmogram Sensor for Cardiovascular Monitoring,, Adv. Mater., vol. 29, no. 31, p.1–6, 2017,.

DOI: 10.1002/adma.201700975

[15] A. Khaliduzzaman, S. Fujitani, A. Kashimori, T. Suzuki, Y. Ogawa, and N. Kondo, A non-invasive diagnosis technique of chick embryonic cardiac arrhythmia using near infrared light,, Comput. Electron. Agric., vol. 158, no. February, p.326–334, Mar. 2019,.

DOI: 10.1016/j.compag.2019.02.014

[16] N. S. Ali, Z. A. A. Alyasseri, and A. Abdulmohson, Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application,, Int. J. Electr. Comput. Eng., vol. 8, no. 6, p.5118, Dec. 2018,.

DOI: 10.11591/ijece.v8i6.pp5118-5126

[17] G. Simone et al., High‐Accuracy Photoplethysmography Array Using Near‐Infrared Organic Photodiodes with Ultralow Dark Current,, Adv. Opt. Mater., vol. 8, no. 10, p.1901989, May 2020,.

DOI: 10.1002/adom.201901989

[18] N. Hakimi, A. Jodeiri, M. Mirbagheri, and S. K. Setarehdan, Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy,, Comput. Biol. Med., vol. 121, no. May, p.103810, Jun. 2020,.

DOI: 10.1016/j.compbiomed.2020.103810

[19] K. Oiwa, Y. Ozawa, K. Nagumo, S. Nishimura, Y. Nanai, and A. Nozawa, Remote Blood Pressure Sensing Using Near-Infrared Wideband LEDs,, IEEE Sens. J., vol. 21, no. 21, p.24327–24337, Nov. 2021,.

DOI: 10.1109/jsen.2021.3111628

[20] Y. Ozawa, K. Oiwa, S. Miyazaki, S. Nishimura, Y. Nanai, and A. Nozawa, Improving the Accuracy of Noncontact Blood Pressure Sensing Using Near-Infrared Light,, IEEJ Trans. Electron. Inf. Syst., vol. 140, no. 7, p.769–774, Jul. 2020,.

DOI: 10.1541/ieejeiss.140.769

[21] G. Wang, M. Atef, and Y. Lian, Towards a Continuous Non-Invasive Cuffless Blood Pressure Monitoring System Using PPG: Systems and Circuits Review,, IEEE Circuits Syst. Mag., vol. 18, no. 3, p.6–26, 2018,.

DOI: 10.1109/mcas.2018.2849261

[22] V. P. Rachim, T. H. Huynh, and W.-Y. Chung, Wrist Photo-Plethysmography and Bio-Impedance Sensor for Cuff-Less Blood Pressure Monitoring,, in 2018 IEEE SENSORS, Oct. 2018, vol. 2018-Octob, p.1–4.

DOI: 10.1109/icsens.2018.8589559

[23] P. Bansal, M. Malik, and R. Kundu, Smart heart rate monitoring system,, in 2018 IEEMA Engineer Infinite Conference (eTechNxT), Mar. 2018, p.1–4.

DOI: 10.1109/etechnxt.2018.8385347

[24] D. Biswas, N. Simoes-Capela, C. Van Hoof, and N. Van Helleputte, Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review,, IEEE Sens. J., vol. 19, no. 16, p.6560–6570, Aug. 2019,.

DOI: 10.1109/jsen.2019.2914166

[25] K. Matsumura, S. Toda, and Y. Kato, RGB and Near-Infrared Light Reflectance/Transmittance Photoplethysmography for Measuring Heart Rate During Motion,, IEEE Access, vol. 8, p.80233–80242, 2020,.

DOI: 10.1109/access.2020.2990438

[26] I. Lee, N. Park, H. Lee, C. Hwang, J. H. Kim, and S. Park, Systematic Review on Human Skin-Compatible Wearable Photoplethysmography Sensors,, Appl. Sci., vol. 11, no. 5, p.2313, Mar. 2021,.

DOI: 10.3390/app11052313

[27] A. Hina and W. Saadeh, A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography,, IEEE Trans. Biomed. Circuits Syst., vol. 14, no. 3, p.504–515, Jun. 2020,.

DOI: 10.1109/tbcas.2020.2979514

[28] S. Ramasahayam, L. Arora, and S. R. Chowdhury, FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact,, in Smart Sensors, Measurement and Instrumentation, vol. 22, 2017, p.1–21.

DOI: 10.1007/978-3-319-47319-2_1

[29] Y. (Joseph) Segman, Device and Method for Noninvasive Glucose Assessment,, J. Diabetes Sci. Technol., vol. 12, no. 6, p.1159–1168, Nov. 2018,.

DOI: 10.1177/1932296818763457

[30] M. Strik et al., Smartwatch-based detection of cardiac arrhythmias: Beyond the differentiation between sinus rhythm and atrial fibrillation,, Hear. Rhythm, vol. 18, no. 9, p.1524–1532, Sep. 2021,.

DOI: 10.1016/j.hrthm.2021.06.1176

[31] J. Yadav, A. Rani, V. Singh, and B. M. Murari, Comparative Study of Different Measurement Sites Using NIR Based Non-invasive Glucose Measurement System,, Procedia Comput. Sci., vol. 70, p.469–475, 2015,.

DOI: 10.1016/j.procs.2015.10.082

[32] A. Kassem, M. Hamad, G. G. Harbieh, and C. El Moucary, A Non-Invasive Blood Glucose Monitoring Device,, in 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME), Oct. 2020, vol. 2020-Octob, no. 978, p.1–4.

DOI: 10.1109/mecbme47393.2020.9265170

[33] E. Sazonov, WEARABLE SENSORS Fundamentals, Implementation and Applications, 2nd editio., no. July. Elsevier, (2021).

[34] M. R. Haque, S. M. T. Uddin Raju, M. A.-U. Golap, and M. M. A. Hashem, Corrections to 'A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models,', IEEE Access, vol. 9, p.84178–84179, 2021,.

DOI: 10.1109/access.2021.3087280

[35] V. Periyasamy, M. Pramanik, and P. K. Ghosh, Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical Exercise,, J. Indian Inst. Sci., vol. 97, no. 3, p.313–324, Sep. 2017,.

DOI: 10.1007/s41745-017-0037-1

[36] A. Kamišalić, I. Fister, M. Turkanović, and S. Karakatič, Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review,, Sensors, vol. 18, no. 6, p.1714, May 2018,.

DOI: 10.3390/s18061714

[37] F. J. Velez and Fardin Derogarian Miyandoab, Wearable Technologies and Wireless Body Sensor Networks for Healthcare. Institution of Engineering and Technology, 2019. [Online]. Available: https://digital-library.theiet.org/content/books/10.1049/pbhe011e_ch2.

DOI: 10.1049/pbhe011e

[38] L. Adhikari and S. K. Pahuja, Mathematical Modeling and Simulation of Photoplethysmography,, in 2020 International Conference on Communication and Signal Processing (ICCSP), Jul. 2020, p.1307–1311.

DOI: 10.1109/iccsp48568.2020.9182070

[39] Maxim Integrated, MAX30102 - High-Sensitivity Pulse Oximeter and Heart-Rate Sensor for Wearable Health,, 2015. [Online]. Available: https://www.maximintegrated.com/en/products/ sensors/MAX30102.html.

[40] M. A. Motin, P. P. Das, C. K. Karmakar, and M. Palaniswami, Compact Pulse Oximeter Designed for Blood Oxygen Saturation and Heart Rate Monitoring,, in 2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE), Dec. 2021, p.125–128.

DOI: 10.1109/iceee54059.2021.9718773

[41] L. Fiorini, F. Cavallo, M. Martinelli, and E. Rovini, Characterization of a PPG Wearable Sensor to Be Embedded into an Innovative Ring-Shaped Device for Healthcare Monitoring,, in Lecture Notes in Electrical Engineering, vol. 725, 2021, p.49–63.

DOI: 10.1007/978-3-030-63107-9_5

[42] R. Kopel et al., No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI,, Neuroimage, vol. 191, no. February, p.421–429, May 2019,.

DOI: 10.1016/j.neuroimage.2019.02.058

[43] X. Dong, G. Li, Y. Jia, B. Li, and K. He, Non-iterative denoising algorithm for mechanical vibration signal using spectral graph wavelet transform and detrended fluctuation analysis,, Mech. Syst. Signal Process., vol. 149, p.107202, Feb. 2021,.

DOI: 10.1016/j.ymssp.2020.107202

[44] G. Georgieva-Tsaneva, E. Gospodinova, M. Gospodinov, and K. Cheshmedzhiev, Portable Sensor System for Registration, Processing and Mathematical Analysis of PPG Signals,, Appl. Sci., vol. 10, no. 3, p.1051, Feb. 2020,.

DOI: 10.3390/app10031051

[45] M. S. Milivojevic, A. Gavrovska, I. Reljin, and B. Reljin, Using Optical IoT Sensing for Detrended Fluctuation Analysis of Skin Blood Pulsation during Visual Stimulation Task,, in 2019 27th Telecommunications Forum (TELFOR), Nov. 2019, p.1–4.

DOI: 10.1109/telfor48224.2019.8971288

[46] S. Rajala, H. Lindholm, and T. Taipalus, Comparison of photoplethysmogram measured from wrist and finger and the effect of measurement location on pulse arrival time,, Physiol. Meas., vol. 39, no. 7, p.075010, Aug. 2018,.

DOI: 10.1088/1361-6579/aac7ac

[47] P.-Y. Tsai et al., Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features,, Sensors, vol. 21, no. 13, p.4315, Jun. 2021,.

DOI: 10.3390/s21134315