New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy

Objective: The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy. Approach: In this study, a number of new indicators were extracted from photoplet...

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Published inPhysiological measurement Vol. 39; no. 2; pp. 25005 - 25017
Main Authors Lin, Wan-Hua, Wang, Hui, Samuel, Oluwarotimi Williams, Liu, Gengxing, Huang, Zhen, Li, Guanglin
Format Journal Article
LanguageEnglish
Published England IOP Publishing 26.02.2018
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Abstract Objective: The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy. Approach: In this study, a number of new indicators were extracted from photoplethysmogram (PPG) recordings and a linear regression method was used to construct BP estimation models based on the PPG indicators and pulse transit time (PTT). The performance of the BP estimation models was evaluated by the PPG recordings from 22 subjects when they performed mental arithmetic stress and Valsalva's manoeuvre tasks that could induce BP fluctuations. Main results: Our results showed that the best PPG-based BP estimation model could achieve a decrease of 0.31  ±  0.08 mmHg in systolic BP (SBP) and 0.33  ±  0.01 mmHg in diastolic BP (DBP) on estimation errors of grand absolute mean (GAM) and standard deviation (GSD) in comparison to the previously reported PPG-based methods. The best estimation model based on the combination of PPG and PPT could achieve a decrease (GAM & GSD) of 0.81  ±  0.95 mmHg in SBP and 0.75  ±  0.54 mmHg in DBP in comparison to the PPT-based methods. Significance: The findings suggest that the newly proposed PPG indicators would be promising for improving the accuracy of continuous and cuffless BP estimation.
AbstractList The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy.OBJECTIVEThe accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy.In this study, a number of new indicators were extracted from photoplethysmogram (PPG) recordings and a linear regression method was used to construct BP estimation models based on the PPG indicators and pulse transit time (PTT). The performance of the BP estimation models was evaluated by the PPG recordings from 22 subjects when they performed mental arithmetic stress and Valsalva's manoeuvre tasks that could induce BP fluctuations.APPROACHIn this study, a number of new indicators were extracted from photoplethysmogram (PPG) recordings and a linear regression method was used to construct BP estimation models based on the PPG indicators and pulse transit time (PTT). The performance of the BP estimation models was evaluated by the PPG recordings from 22 subjects when they performed mental arithmetic stress and Valsalva's manoeuvre tasks that could induce BP fluctuations.Our results showed that the best PPG-based BP estimation model could achieve a decrease of 0.31  ±  0.08 mmHg in systolic BP (SBP) and 0.33  ±  0.01 mmHg in diastolic BP (DBP) on estimation errors of grand absolute mean (GAM) and standard deviation (GSD) in comparison to the previously reported PPG-based methods. The best estimation model based on the combination of PPG and PPT could achieve a decrease (GAM & GSD) of 0.81  ±  0.95 mmHg in SBP and 0.75  ±  0.54 mmHg in DBP in comparison to the PPT-based methods.MAIN RESULTSOur results showed that the best PPG-based BP estimation model could achieve a decrease of 0.31  ±  0.08 mmHg in systolic BP (SBP) and 0.33  ±  0.01 mmHg in diastolic BP (DBP) on estimation errors of grand absolute mean (GAM) and standard deviation (GSD) in comparison to the previously reported PPG-based methods. The best estimation model based on the combination of PPG and PPT could achieve a decrease (GAM & GSD) of 0.81  ±  0.95 mmHg in SBP and 0.75  ±  0.54 mmHg in DBP in comparison to the PPT-based methods.The findings suggest that the newly proposed PPG indicators would be promising for improving the accuracy of continuous and cuffless BP estimation.SIGNIFICANCEThe findings suggest that the newly proposed PPG indicators would be promising for improving the accuracy of continuous and cuffless BP estimation.
The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy. In this study, a number of new indicators were extracted from photoplethysmogram (PPG) recordings and a linear regression method was used to construct BP estimation models based on the PPG indicators and pulse transit time (PTT). The performance of the BP estimation models was evaluated by the PPG recordings from 22 subjects when they performed mental arithmetic stress and Valsalva's manoeuvre tasks that could induce BP fluctuations. Our results showed that the best PPG-based BP estimation model could achieve a decrease of 0.31  ±  0.08 mmHg in systolic BP (SBP) and 0.33  ±  0.01 mmHg in diastolic BP (DBP) on estimation errors of grand absolute mean (GAM) and standard deviation (GSD) in comparison to the previously reported PPG-based methods. The best estimation model based on the combination of PPG and PPT could achieve a decrease (GAM & GSD) of 0.81  ±  0.95 mmHg in SBP and 0.75  ±  0.54 mmHg in DBP in comparison to the PPT-based methods. The findings suggest that the newly proposed PPG indicators would be promising for improving the accuracy of continuous and cuffless BP estimation.
Objective: The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was designed to further increase BP estimation accuracy. Approach: In this study, a number of new indicators were extracted from photoplethysmogram (PPG) recordings and a linear regression method was used to construct BP estimation models based on the PPG indicators and pulse transit time (PTT). The performance of the BP estimation models was evaluated by the PPG recordings from 22 subjects when they performed mental arithmetic stress and Valsalva's manoeuvre tasks that could induce BP fluctuations. Main results: Our results showed that the best PPG-based BP estimation model could achieve a decrease of 0.31  ±  0.08 mmHg in systolic BP (SBP) and 0.33  ±  0.01 mmHg in diastolic BP (DBP) on estimation errors of grand absolute mean (GAM) and standard deviation (GSD) in comparison to the previously reported PPG-based methods. The best estimation model based on the combination of PPG and PPT could achieve a decrease (GAM & GSD) of 0.81  ±  0.95 mmHg in SBP and 0.75  ±  0.54 mmHg in DBP in comparison to the PPT-based methods. Significance: The findings suggest that the newly proposed PPG indicators would be promising for improving the accuracy of continuous and cuffless BP estimation.
Author Samuel, Oluwarotimi Williams
Liu, Gengxing
Wang, Hui
Huang, Zhen
Li, Guanglin
Lin, Wan-Hua
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Snippet Objective: The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This...
The accuracy of cuffless and continuous blood pressure (BP) estimation has been improved, but it is still unsatisfactory for clinical uses. This study was...
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SubjectTerms blood pressure
continuous and cuffless estimation
photoplethysmogram indicators
pulse transit time
Title New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy
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