Literature DB >> 22868529

Cuffless differential blood pressure estimation using smart phones.

Vikram Chandrasekaran1, Ram Dantu, Srikanth Jonnada, Shanti Thiyagaraja, Kalyan Pathapati Subbu.   

Abstract

Smart phones today have become increasingly popular with the general public for their diverse functionalities such as navigation, social networking, and multimedia facilities. These phones are equipped with high-end processors, high-resolution cameras, and built-in sensors such as accelerometer, orientation-sensor, and light-sensor. According to comScore survey, 26.2% of U.S. adults use smart phones in their daily lives. Motivated by this statistic and the diverse capability of smart phones, we focus on utilizing them for biomedical applications. We present a new application of the smart phone with its built-in camera and microphone replacing the traditional stethoscope and cuff-based measurement technique, to quantify vital signs such as heart rate and blood pressure. We propose two differential blood pressure estimating techniques using the heartbeat and pulse data. The first method uses two smart phones whereas the second method replaces one of the phones with a customized external microphone. We estimate the systolic and diastolic pressure in the two techniques by computing the pulse pressure and the stroke volume from the data recorded. By comparing the estimated blood pressure values with those measured using a commercial blood pressure meter, we obtained encouraging results of 95-100% accuracy.

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Year:  2012        PMID: 22868529     DOI: 10.1109/TBME.2012.2211078

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  18 in total

1.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Predictions on Maximum Calibration Period and Acceptable Error Limits.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn
Journal:  IEEE Trans Biomed Eng       Date:  2017-09-22       Impact factor: 4.538

2.  Effective CPR Procedure With Real Time Evaluation and Feedback Using Smartphones.

Authors:  Neeraj K Gupta; Vishnu Dantu; Ram Dantu
Journal:  IEEE J Transl Eng Health Med       Date:  2014-05-30       Impact factor: 3.316

Review 3.  Cuffless Blood Pressure Devices.

Authors:  Corey K Bradley; Daichi Shimbo; David Alexander Colburn; Daniel N Pugliese; Raj Padwal; Samuel K Sia; D Edmund Anstey
Journal:  Am J Hypertens       Date:  2022-05-10       Impact factor: 3.080

4.  Cuff-Free Blood Pressure Estimation Using Pulse Transit Time and Heart Rate.

Authors:  Ruiping Wang; Wenyan Jia; Zhi-Hong Mao; Robert J Sclabassi; Mingui Sun
Journal:  Int Conf Signal Process Proc       Date:  2014-10

5.  PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement.

Authors:  Anand Chandrasekhar; Mohammad Yavarimanesh; Keerthana Natarajan; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-28       Impact factor: 4.538

6.  Extraction of heart rate variability from smartphone photoplethysmograms.

Authors:  Rong-Chao Peng; Xiao-Lin Zhou; Wan-Hua Lin; Yuan-Ting Zhang
Journal:  Comput Math Methods Med       Date:  2015-01-12       Impact factor: 2.238

7.  Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals.

Authors:  Rong-Chao Peng; Wen-Rong Yan; Ning-Ling Zhang; Wan-Hua Lin; Xiao-Lin Zhou; Yuan-Ting Zhang
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

8.  Toward a Smartphone Application for Estimation of Pulse Transit Time.

Authors:  He Liu; Kamen Ivanov; Yadong Wang; Lei Wang
Journal:  Sensors (Basel)       Date:  2015-10-27       Impact factor: 3.576

Review 9.  Mobile apps in cardiology: review.

Authors:  Borja Martínez-Pérez; Isabel de la Torre-Díez; Miguel López-Coronado; Jesús Herreros-González
Journal:  JMIR Mhealth Uhealth       Date:  2013-07-24       Impact factor: 4.773

Review 10.  Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.

Authors:  Reuven Rasooly; Hugh Alan Bruck; Joshua Balsam; Ben Prickril; Miguel Ossandon; Avraham Rasooly
Journal:  Diagnostics (Basel)       Date:  2016-05-17
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