Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges
Hypertension is a chronic condition that is one of the prominent reasons behind cardiovascular disease, brain stroke, and organ failure. Left unnoticed and untreated, the deterioration in a health condition could even result in mortality. If it can be detected early, with proper treatment, undesirab...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/1/27 |
| _version_ | 1827628456597258240 |
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| author | Mohammad Mahbubur Rahman Khan Mamun Ahmed Sherif |
| author_facet | Mohammad Mahbubur Rahman Khan Mamun Ahmed Sherif |
| author_sort | Mohammad Mahbubur Rahman Khan Mamun |
| collection | DOAJ |
| description | Hypertension is a chronic condition that is one of the prominent reasons behind cardiovascular disease, brain stroke, and organ failure. Left unnoticed and untreated, the deterioration in a health condition could even result in mortality. If it can be detected early, with proper treatment, undesirable outcomes can be avoided. Until now, the gold standard is the invasive way of measuring blood pressure (BP) using a catheter. Additionally, the cuff-based and noninvasive methods are too cumbersome or inconvenient for frequent measurement of BP. With the advancement of sensor technology, signal processing techniques, and machine learning algorithms, researchers are trying to find the perfect relationships between biomedical signals and changes in BP. This paper is a literature review of the studies conducted on the cuffless noninvasive measurement of BP using biomedical signals. Relevant articles were selected using specific criteria, then traditional techniques for BP measurement were discussed along with a motivation for cuffless measurement use of biomedical signals and machine learning algorithms. The review focused on the progression of different noninvasive cuffless techniques rather than comparing performance among different studies. The literature survey concluded that the use of deep learning proved to be the most accurate among all the cuffless measurement techniques. On the other side, this accuracy has several disadvantages, such as lack of interpretability, computationally extensive, standard validation protocol, and lack of collaboration with health professionals. Additionally, the continuing work by researchers is progressing with a potential solution for these challenges. Finally, future research directions have been provided to encounter the challenges. |
| first_indexed | 2024-03-09T13:34:02Z |
| format | Article |
| id | doaj.art-1c8021d929ec4af498a721fbce2490ea |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-09T13:34:02Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-1c8021d929ec4af498a721fbce2490ea2023-11-30T21:14:25ZengMDPI AGBioengineering2306-53542022-12-011012710.3390/bioengineering10010027Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open ChallengesMohammad Mahbubur Rahman Khan Mamun0Ahmed Sherif1Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN 38505, USASchool of Computing Sciences and Computer Engineering, The University of Southern Mississippi, Hattiesburg, MS 39406, USAHypertension is a chronic condition that is one of the prominent reasons behind cardiovascular disease, brain stroke, and organ failure. Left unnoticed and untreated, the deterioration in a health condition could even result in mortality. If it can be detected early, with proper treatment, undesirable outcomes can be avoided. Until now, the gold standard is the invasive way of measuring blood pressure (BP) using a catheter. Additionally, the cuff-based and noninvasive methods are too cumbersome or inconvenient for frequent measurement of BP. With the advancement of sensor technology, signal processing techniques, and machine learning algorithms, researchers are trying to find the perfect relationships between biomedical signals and changes in BP. This paper is a literature review of the studies conducted on the cuffless noninvasive measurement of BP using biomedical signals. Relevant articles were selected using specific criteria, then traditional techniques for BP measurement were discussed along with a motivation for cuffless measurement use of biomedical signals and machine learning algorithms. The review focused on the progression of different noninvasive cuffless techniques rather than comparing performance among different studies. The literature survey concluded that the use of deep learning proved to be the most accurate among all the cuffless measurement techniques. On the other side, this accuracy has several disadvantages, such as lack of interpretability, computationally extensive, standard validation protocol, and lack of collaboration with health professionals. Additionally, the continuing work by researchers is progressing with a potential solution for these challenges. Finally, future research directions have been provided to encounter the challenges.https://www.mdpi.com/2306-5354/10/1/27cuffless blood pressurehypertensionphotoplethysmographyelectrocardiogrammachine learningdeep learning |
| spellingShingle | Mohammad Mahbubur Rahman Khan Mamun Ahmed Sherif Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges Bioengineering cuffless blood pressure hypertension photoplethysmography electrocardiogram machine learning deep learning |
| title | Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges |
| title_full | Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges |
| title_fullStr | Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges |
| title_full_unstemmed | Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges |
| title_short | Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges |
| title_sort | advancement in the cuffless and noninvasive measurement of blood pressure a review of the literature and open challenges |
| topic | cuffless blood pressure hypertension photoplethysmography electrocardiogram machine learning deep learning |
| url | https://www.mdpi.com/2306-5354/10/1/27 |
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