Cuff-Less Blood Pressure Monitoring System Using Smartphones
Recently, smartphones with mobile health applications have become promising tools in the healthcare industry due to their convenience, ubiquity for patients, and the ability to gather data in real time. In this paper, we propose a novel non-invasive, portable, and cuff-less method for monitoring BP...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8952635/ |
| _version_ | 1818732076339298304 |
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| author | Fatemehsadat Tabei Jon Michael Gresham Behnam Askarian Kwanghee Jung Jo Woon Chong |
| author_facet | Fatemehsadat Tabei Jon Michael Gresham Behnam Askarian Kwanghee Jung Jo Woon Chong |
| author_sort | Fatemehsadat Tabei |
| collection | DOAJ |
| description | Recently, smartphones with mobile health applications have become promising tools in the healthcare industry due to their convenience, ubiquity for patients, and the ability to gather data in real time. In this paper, we propose a novel non-invasive, portable, and cuff-less method for monitoring BP by only using the smartphones' camera. Our experiment uses pulse transit time (PTT) between two separate photoplethysmogram (PPG) signals to estimate the subjects' systolic blood pressure (SBP) and diastolic blood pressure (DBP). Our proposed method first measures the subject's PPG signals from his/her index fingers using the smartphones' camera. Then, filtering and peak detection algorithms of the proposed method reduce the motion and noise artifacts in the PPG signals. Finally, the proposed method estimates SBP and DBP based on a linear regression model which was trained and tested on 30 trials with six healthy subjects. We evaluated the proposed method by comparing BP values of the proposed method with those of the reference (or gold-standard) device in terms of mean absolute error (MAE), standard deviation of error (SD), and R-squared (R<sup>2</sup>) value of the cross-validation. Experimental results show that the proposed method estimates the average of MAE ± SD is 2.07 ± 2.06 mm Hg for SBP estimation, and 2.12 ± 1.85 mm Hg for DBP estimation. These estimates are lower than accurate BP estimation standard (5 ± 8 mmHg). |
| first_indexed | 2024-12-17T23:27:49Z |
| format | Article |
| id | doaj.art-a182431f3b564bfbbd22f66086c779b5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:27:49Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a182431f3b564bfbbd22f66086c779b52022-12-21T21:28:44ZengIEEEIEEE Access2169-35362020-01-018115341154510.1109/ACCESS.2020.29650828952635Cuff-Less Blood Pressure Monitoring System Using SmartphonesFatemehsadat Tabei0https://orcid.org/0000-0002-1639-1531Jon Michael Gresham1https://orcid.org/0000-0002-5758-4102Behnam Askarian2https://orcid.org/0000-0001-5729-0852Kwanghee Jung3https://orcid.org/0000-0002-7459-7407Jo Woon Chong4https://orcid.org/0000-0002-3161-2742Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USADepartment of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USADepartment of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USADepartment of Educational Psychology and Leadership, Texas Tech University, Lubbock, TX, USADepartment of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USARecently, smartphones with mobile health applications have become promising tools in the healthcare industry due to their convenience, ubiquity for patients, and the ability to gather data in real time. In this paper, we propose a novel non-invasive, portable, and cuff-less method for monitoring BP by only using the smartphones' camera. Our experiment uses pulse transit time (PTT) between two separate photoplethysmogram (PPG) signals to estimate the subjects' systolic blood pressure (SBP) and diastolic blood pressure (DBP). Our proposed method first measures the subject's PPG signals from his/her index fingers using the smartphones' camera. Then, filtering and peak detection algorithms of the proposed method reduce the motion and noise artifacts in the PPG signals. Finally, the proposed method estimates SBP and DBP based on a linear regression model which was trained and tested on 30 trials with six healthy subjects. We evaluated the proposed method by comparing BP values of the proposed method with those of the reference (or gold-standard) device in terms of mean absolute error (MAE), standard deviation of error (SD), and R-squared (R<sup>2</sup>) value of the cross-validation. Experimental results show that the proposed method estimates the average of MAE ± SD is 2.07 ± 2.06 mm Hg for SBP estimation, and 2.12 ± 1.85 mm Hg for DBP estimation. These estimates are lower than accurate BP estimation standard (5 ± 8 mmHg).https://ieeexplore.ieee.org/document/8952635/Hypertensionblood pressurecuff-lesssmartphonephotoplethysmogram (PPG)pulse transit time (PTT) |
| spellingShingle | Fatemehsadat Tabei Jon Michael Gresham Behnam Askarian Kwanghee Jung Jo Woon Chong Cuff-Less Blood Pressure Monitoring System Using Smartphones IEEE Access Hypertension blood pressure cuff-less smartphone photoplethysmogram (PPG) pulse transit time (PTT) |
| title | Cuff-Less Blood Pressure Monitoring System Using Smartphones |
| title_full | Cuff-Less Blood Pressure Monitoring System Using Smartphones |
| title_fullStr | Cuff-Less Blood Pressure Monitoring System Using Smartphones |
| title_full_unstemmed | Cuff-Less Blood Pressure Monitoring System Using Smartphones |
| title_short | Cuff-Less Blood Pressure Monitoring System Using Smartphones |
| title_sort | cuff less blood pressure monitoring system using smartphones |
| topic | Hypertension blood pressure cuff-less smartphone photoplethysmogram (PPG) pulse transit time (PTT) |
| url | https://ieeexplore.ieee.org/document/8952635/ |
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