A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy
In this paper, we propose a smartphone-based biosensor for detecting human total hemoglobin concentration in vivo with high accuracy. Compared to the existing biosensors used to measure hemoglobin concentration, the smartphone-based sensor utilizes the camera, memory, and computing power of the phon...
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MDPI AG
2022-09-01
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Series: | Biosensors |
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Online Access: | https://www.mdpi.com/2079-6374/12/10/781 |
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author | Zhipeng Fan Yong Zhou Haoyu Zhai Qi Wang Honghui He |
author_facet | Zhipeng Fan Yong Zhou Haoyu Zhai Qi Wang Honghui He |
author_sort | Zhipeng Fan |
collection | DOAJ |
description | In this paper, we propose a smartphone-based biosensor for detecting human total hemoglobin concentration in vivo with high accuracy. Compared to the existing biosensors used to measure hemoglobin concentration, the smartphone-based sensor utilizes the camera, memory, and computing power of the phone. Thus, the cost is largely reduced. Compared to existing smartphone-based sensors, we developed a highly integrated multi-wavelength LED module and a specially designed phone fixture to reduce spatial errors and motion artifacts, respectively. In addition, we embedded a new algorithm into our smartphone-based sensor to improve the measurement accuracy; an L*a*b* color space transformation and the “a” parameter were used to perform the final quantification. We collected 24 blood samples from normal and anemic populations. The adjusted <i>R</i><sup>2</sup> of the prediction results obtained from the multiple linear regression method reached 0.880, and the <i>RMSE</i> reached 9.04, which met the accuracy requirements of non-invasive detection of hemoglobin concentration. |
first_indexed | 2024-03-09T20:36:02Z |
format | Article |
id | doaj.art-7b21b0ebf6e3440db6e71979883f1d28 |
institution | Directory Open Access Journal |
issn | 2079-6374 |
language | English |
last_indexed | 2024-03-09T20:36:02Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Biosensors |
spelling | doaj.art-7b21b0ebf6e3440db6e71979883f1d282023-11-23T23:10:33ZengMDPI AGBiosensors2079-63742022-09-01121078110.3390/bios12100781A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High AccuracyZhipeng Fan0Yong Zhou1Haoyu Zhai2Qi Wang3Honghui He4Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaShenzhen Maidu Technology Co., Ltd., Shenzhen 518000, ChinaGuangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaGuangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaGuangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaIn this paper, we propose a smartphone-based biosensor for detecting human total hemoglobin concentration in vivo with high accuracy. Compared to the existing biosensors used to measure hemoglobin concentration, the smartphone-based sensor utilizes the camera, memory, and computing power of the phone. Thus, the cost is largely reduced. Compared to existing smartphone-based sensors, we developed a highly integrated multi-wavelength LED module and a specially designed phone fixture to reduce spatial errors and motion artifacts, respectively. In addition, we embedded a new algorithm into our smartphone-based sensor to improve the measurement accuracy; an L*a*b* color space transformation and the “a” parameter were used to perform the final quantification. We collected 24 blood samples from normal and anemic populations. The adjusted <i>R</i><sup>2</sup> of the prediction results obtained from the multiple linear regression method reached 0.880, and the <i>RMSE</i> reached 9.04, which met the accuracy requirements of non-invasive detection of hemoglobin concentration.https://www.mdpi.com/2079-6374/12/10/781biosensorsmartphonenoninvasivemulti-wavelengthL*a*b* color spacetotal hemoglobin concentration |
spellingShingle | Zhipeng Fan Yong Zhou Haoyu Zhai Qi Wang Honghui He A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy Biosensors biosensor smartphone noninvasive multi-wavelength L*a*b* color space total hemoglobin concentration |
title | A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy |
title_full | A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy |
title_fullStr | A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy |
title_full_unstemmed | A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy |
title_short | A Smartphone-Based Biosensor for Non-Invasive Monitoring of Total Hemoglobin Concentration in Humans with High Accuracy |
title_sort | smartphone based biosensor for non invasive monitoring of total hemoglobin concentration in humans with high accuracy |
topic | biosensor smartphone noninvasive multi-wavelength L*a*b* color space total hemoglobin concentration |
url | https://www.mdpi.com/2079-6374/12/10/781 |
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