The Noninvasive Blood Pressure Measurement Based on Facial Images Processing

Zhou, Yimin; Ni, Haiyang; Zhang, Qi; Wu, Qingtian

doi:10.1109/jsen.2019.2931775

Cited by 33 publications

(11 citation statements)

References 23 publications

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“…BP was measured before, during, and after exercise via auscultation or oscillometry (21,22). Non-contact BPM based on image-based methods is required when the individual need to carry out BPM in certain special situations (Scene_spec) including skin damage or inability to wear a wearable device (5,23). Rong and Li (24) proposed a non-contact sphygmomanometer system based on image photoplethysmography (PPG), the results showed that the system can potentially replace the conventional cuff sphygmomanometer.…”

Section: Scene Based Blood Pressure Monitoring Techniquesmentioning

confidence: 99%

Blood pressure monitoring techniques in the natural state of multi-scenes: A review

et al. 2022

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Blood pressure is one of the basic physiological parameters of human physiology. Frequent and repeated measurement of blood pressure along with recording of environmental or other physiological parameters when measuring blood pressure may reveal important cardiovascular risk factors that can predict occurrence of cardiovascular events. Currently, wearable non-invasive blood pressure measurement technology has attracted much research attention. Several different technical routes have been proposed to solve the challenge between portability or continuity of measurement methods and medical level accuracy of measurement results. The accuracy of blood pressure measurement technology based on auscultation and oscillography has been clinically verified, while majority of other technical routes are being explored at laboratory or multi-center clinical demonstration stage. Normally, Blood pressure measurement based on oscillographic method outside the hospital can only be measured at intervals. There is a need to develop techniques for frequent and high-precision blood pressure measurement under natural conditions outside the hospital. In this paper, we discussed the current status of blood pressure measurement technology and development trends of blood pressure measurement technology in different scenarios. We focuses on the key technical challenges and the latest advances in the study of miniaturization devices based on oscillographic method at wrist and PTT related method at finger positions as well as technology processes. This study is of great significance to the application of high frequency blood pressure measurement technology.

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Section: Scene Based Blood Pressure Monitoring Techniquesmentioning

confidence: 99%

Blood pressure monitoring techniques in the natural state of multi-scenes: A review

et al. 2022

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“…The AE was

mmHg for DBP and

mmHg for SBP. The authors of [ 225 ] stated that, in accord with Hooke’s law for calculating the fluid pressure of a wall, pressure waves are related to the peaks and valleys of the acquired signals. The body mass index (BMI) was used as a correction coefficient.…”

Section: Contactless Bp Measurement From Rppg Signalsmentioning

confidence: 99%

“…BP is related to some physical characteristics, and some papers endeavored to extract the physical characteristics as the input features. To illustrate this, the authors of [ 230 ] personalized the model by inputting the meta-features, and the authors of [ 225 ] personalized the model by inputting the BMI. One study [ 147 ] compared models with and without personalization.…”

Section: Contactless Bp Measurement From Rppg Signalsmentioning

confidence: 99%

Blood Pressure Measurement: From Cuff-Based to Contactless Monitoring

et al. 2022

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Blood pressure (BP) determines whether a person has hypertension and offers implications as to whether he or she could be affected by cardiovascular disease. Cuff-based sphygmomanometers have traditionally provided both accuracy and reliability, but they require bulky equipment and relevant skills to obtain precise measurements. BP measurement from photoplethysmography (PPG) signals has become a promising alternative for convenient and unobtrusive BP monitoring. Moreover, the recent developments in remote photoplethysmography (rPPG) algorithms have enabled new innovations for contactless BP measurement. This paper illustrates the evolution of BP measurement techniques from the biophysical theory, through the development of contact-based BP measurement from PPG signals, and to the modern innovations of contactless BP measurement from rPPG signals. We consolidate knowledge from a diverse background of academic research to highlight the importance of multi-feature analysis for improving measurement accuracy. We conclude with the ongoing challenges, opportunities, and possible future directions in this emerging field of research.

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“…The smart bot collects various health parameters of a patient after placing the camera in the correct position and being connected to the server through the RFID tag. An IR thermometer can be used to check body temperature remotely [11] while remote Photoplethysmography (rPPG) is used for measuring the Heart rate, oxygen saturation levels, and Blood pressure [20][21][22]. Thermal camera enabling thermal image processing feature can be employed to measure respiration rate and blood glucose levels [17,18].…”

Section: B Health Check-upmentioning

confidence: 99%

An IoT Based Health Monitoring System to Tackle COVID-19 in a Contagious Ward of Hospital

Alam¹,

Islam²,

Chowdhury³

et al. 2021

IJAMST

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l: l: Email:l: Email:l: Regarding the highly contiguous novel coronavirus disease (COVID-19), it is unsafe for health professionals, being involved in a hospital isolation ward. The healthcare workers, stationed in a contagious ward provide relentless monitoring of specific health parameters of those patients. The rate of contagion proportionately depends on the time spent by the health workers in an isolation ward. This challenging task is fairly manageable by employing promising Internet-of-Things (IoT) based autonomous robots (i.e. smart bots) thus reducing the hazards of contamination to health workers. In this research paper, we introduce a smart bot that can periodically measure the health parameters of COVID-19 patients, for instance, body temperature, oxygen saturation levels, blood pressure, respiration rate, heart rate, blood glucose level, etc. The proposed smart bot will transfer from one patient to another in a structured pattern and autonomously collect, forward, store the data of the patients for further analysis. The goal of the work is to involve a significantly inferior number of health workers in contagious wards to control contagion, thus creating stress-free environs for health workers. Moreover, smart bots will offer health professionals to pay attention to non-COVID-19 patients and make things easier for regular health check-ups of individuals in need.

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The Noninvasive Blood Pressure Measurement Based on Facial Images Processing

Cited by 33 publications

References 23 publications

Blood pressure monitoring techniques in the natural state of multi-scenes: A review

Blood pressure monitoring techniques in the natural state of multi-scenes: A review

Blood Pressure Measurement: From Cuff-Based to Contactless Monitoring

An IoT Based Health Monitoring System to Tackle COVID-19 in a Contagious Ward of Hospital

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