Hybrid Optical Unobtrusive Blood Pressure Measurements

Zhang, Guangfei; Shan, Caifeng; Kirenko, Ihor; Long, Xi; Aarts, Ronald M.

doi:10.3390/s17071541

Cited by 17 publications

(13 citation statements)

References 46 publications

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“…Hybrid techniques have also been developed. Zhang et al [33] proposed a possible smart watch application using contact PPG and iPPG. The smart watch would contain a contact PPG probe for the wrist and a camera to analyze the face for an iPPG when the watch is raised towards head level.…”

Section: Discussionmentioning

confidence: 99%

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations

Chan

Cooper

Hosanee

et al. 2019

JCM

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Hypertension is one of the most prevalent diseases and is often called the “silent killer” because there are usually no early symptoms. Hypertension is also associated with multiple morbidities, including chronic kidney disease and cardiovascular disease. Early detection and intervention are therefore important. The current routine method for diagnosing hypertension is done using a sphygmomanometer, which can only provide intermittent blood pressure readings and can be confounded by various factors, such as white coat hypertension, time of day, exercise, or stress. Consequently, there is an increasing need for a non-invasive, cuff-less, and continuous blood pressure monitoring device. Multi-site photoplethysmography (PPG) is a promising new technology that can measure a range of features of the pulse, including the pulse transit time of the arterial pulse wave, which can be used to continuously estimate arterial blood pressure. This is achieved by detecting the pulse wave at one body site location and measuring the time it takes for it to reach a second, distal location. The purpose of this review is to analyze the current research in multi-site PPG for blood pressure assessment and provide recommendations to guide future research. In a systematic search of the literature from January 2010 to January 2019, we found 13 papers that proposed novel methods using various two-channel PPG systems and signal processing techniques to acquire blood pressure using multi-site PPG that offered promising results. However, we also found a general lack of validation in terms of sample size and diversity of populations.

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Section: Discussionmentioning

confidence: 99%

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations

Chan

Cooper

Hosanee

et al. 2019

JCM

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“…This was unexpected as the low-cost aspect of camera-based vital sign estimation was often highlighted in previous reviews 16 17 18 , 20 . Half of those publications made use of dedicated webcams 72 73 74 75 , other types of cameras are regular or “action” camcorders 76 77 78 , DSLRs 79 , and the Microsoft Kinect 80 81 82 . Notably, the public databases DEAP 36 and UBFC-RPPG 27 were also recorded using an inexpensive camcorder/webcam respectively.…”

Section: Survey Taxonomymentioning

confidence: 99%

“…Jeong and Finkelstein presented a work on non-contact blood pressure estimation, in which a consumer-grade high-speed camera was used (Casio EX-FH20, 224x168 pixels at 420 frames per second) 87 . An approach was suggested by Zhang et al, where contact PPG would in the future be fused with PPGI from a smartwatch for blood pressure estimation via pulse transit time 73 , although the presented measurements were performed with a stationary camera. Other groups have evaluated the usage of smartphone cameras for the estimation of HR and RR 88 as well as heart rate variability 89 .…”

Section: Survey Taxonomymentioning

confidence: 99%

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

Antink

Lyra²,

Paul

et al. 2019

Yearb Med Inform

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Objectives: Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting “outliers”. Methods: We performed a comprehensive literature research and quantitative analysis of papers published between 2016 and 2018. Quantitative information about the number of subjects, studies with healthy volunteers vs. pathological conditions, public datasets, laboratory vs. real-world works, types of camera, usage of machine learning, and spectral properties of data was extracted. Moreover, a qualitative analysis of illumination used and recent advantages in terms of algorithmic developments was also performed. Results: Since 2016, 116 papers were published on camera-based vital sign estimation and 59% of papers presented results on 20 or fewer subjects. While the average number of participants increased from 15.7 in 2016 to 22.9 in 2018, the vast majority of papers (n=100) were on healthy subjects. Four public datasets were used in 10 publications. We found 27 papers whose application scenario could be considered a real-world use case, such as monitoring during exercise or driving. These include 16 papers that dealt with non-healthy subjects. The majority of papers (n=61) presented results based on visual, red-green-blue (RGB) information, followed by RGB combined with other parts of the electromagnetic spectrum (n=18), and thermography only (n=12), while other works (n=25) used other mono- or polychromatic non-RGB data. Surprisingly, a minority of publications (n=39) made use of consumer-grade equipment. Lighting conditions were primarily uncontrolled or ambient. While some works focused on specialized aspects such as the removal of vital sign information from video streams to protect privacy or the influence of video compression, most algorithmic developments were related to three areas: region of interest selection, tracking, or extraction of a one-dimensional signal. Seven papers used deep learning techniques, 17 papers used other machine learning approaches, and 92 made no explicit use of machine learning. Conclusion: Although some general trends and frequent shortcomings are obvious, the spectrum of publications related to camera-based vital sign estimation is broad. While many creative solutions and unique approaches exist, the lack of standardization hinders comparability of these techniques and of their performance. We believe that sharing algorithms and/ or datasets will alleviate this and would allow the application of newer techniques such as deep learning.

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“…The physiological signals are recorded with a contact sensor (for measuring wrist signal) and a camera (for measuring face signal), both sensors being embedded in a smartwatch. From [39] Recent studies have demonstrated that PTT can be measured unobtrusively from PPG signals taken at different body sites (Fig.6), like wrist and face using a smartwatch [39] or hand and face using a single video camera [40]. Junior et al [41] have used smartphone camera and microphone to measure PTT: the moment the blood leaves the heart is detected by recording the heart sound with the microphone while the camera is employed to detect the time the blood reaches the finger by analyzing the PPG pulse wave.…”

Section: Blood Pressurementioning

confidence: 99%

Remote sensing of vital signs and biomedical parameters: A review

Bousefsaf¹,

Maaoui²,

Pruski³

2018

MMC_C

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According to the World Health Organization, cardiovascular diseases correspond to the prime cause of death globally. Several technologies are employed to measure vital signs remotely. For instance, webcams correspond to ubiquitous systems that can be used to detect cardiovascular pathologies by sensing important physiological parameters like pulse rate. A review of technologies and methods used to remotely measure vital signs and biomedical parameters is proposed in this article. Remote sensing of physiological parameters concerns every person: from healthy, ill or hospitalized persons to people with disabilities or with reduced autonomy.

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Hybrid Optical Unobtrusive Blood Pressure Measurements

Cited by 17 publications

References 46 publications

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

Remote sensing of vital signs and biomedical parameters: A review

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