scholarly journals Contactless Measurement of Vital Signs Using Thermal and RGB Cameras: A Study of COVID 19-Related Health Monitoring

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 627
Author(s):  
Fan Yang ◽  
Shan He ◽  
Siddharth Sadanand ◽  
Aroon Yusuf ◽  
Miodrag Bolic
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Health Monitoring ◽  
Healthy Subjects ◽  
Vital Signs ◽  
Absolute Error ◽  
Regions Of Interest ◽  
Contactless Measurement ◽  
Vital Signs Monitoring ◽  
Face Detector

In this study, a contactless vital signs monitoring system was proposed, which can measure body temperature (BT), heart rate (HR) and respiration rate (RR) for people with and without face masks using a thermal and an RGB camera. The convolution neural network (CNN) based face detector was applied and three regions of interest (ROIs) were located based on facial landmarks for vital sign estimation. Ten healthy subjects from a variety of ethnic backgrounds with skin colors from pale white to darker brown participated in several different experiments. The absolute error (AE) between the estimated HR using the proposed method and the reference HR from all experiments is 2.70±2.28 beats/min (mean ± std), and the AE between the estimated RR and the reference RR from all experiments is 1.47±1.33 breaths/min (mean ± std) at a distance of 0.6–1.2 m.

scholarly journals Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mauricio Villarroel ◽  
Sitthichok Chaichulee ◽  
João Jorge ◽  
Sara Davis ◽  
Gabrielle Green ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Heart Rate ◽  
Respiratory Rate ◽  
Preterm Infants ◽  
Neonatal Intensive Care ◽  
Mean Absolute Error ◽  
Vital Signs ◽  
Absolute Error ◽  
Video Camera ◽  
The Mean

AbstractThe implementation of video-based non-contact technologies to monitor the vital signs of preterm infants in the hospital presents several challenges, such as the detection of the presence or the absence of a patient in the video frame, robustness to changes in lighting conditions, automated identification of suitable time periods and regions of interest from which vital signs can be estimated. We carried out a clinical study to evaluate the accuracy and the proportion of time that heart rate and respiratory rate can be estimated from preterm infants using only a video camera in a clinical environment, without interfering with regular patient care. A total of 426.6 h of video and reference vital signs were recorded for 90 sessions from 30 preterm infants in the Neonatal Intensive Care Unit (NICU) of the John Radcliffe Hospital in Oxford. Each preterm infant was recorded under regular ambient light during daytime for up to four consecutive days. We developed multi-task deep learning algorithms to automatically segment skin areas and to estimate vital signs only when the infant was present in the field of view of the video camera and no clinical interventions were undertaken. We propose signal quality assessment algorithms for both heart rate and respiratory rate to discriminate between clinically acceptable and noisy signals. The mean absolute error between the reference and camera-derived heart rates was 2.3 beats/min for over 76% of the time for which the reference and camera data were valid. The mean absolute error between the reference and camera-derived respiratory rate was 3.5 breaths/min for over 82% of the time. Accurate estimates of heart rate and respiratory rate could be derived for at least 90% of the time, if gaps of up to 30 seconds with no estimates were allowed.

scholarly journals Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6505
Author(s):  
Emmi Turppa ◽  
Juha M. Kortelainen ◽  
Oleg Antropov ◽  
Tero Kiuru
Keyword(s):  
Heart Rate ◽  
Remote Monitoring ◽  
Vital Sign ◽  
Continuous Wave ◽  
Real Life ◽  
Vital Signs ◽  
Absolute Error ◽  
Physical Contact ◽  
Radar Signal ◽  
Fmcw Radar

Remote monitoring of vital signs for studying sleep is a user-friendly alternative to monitoring with sensors attached to the skin. For instance, remote monitoring can allow unconstrained movement during sleep, whereas detectors requiring a physical contact may detach and interrupt the measurement and affect sleep itself. This study evaluates the performance of a cost-effective frequency modulated continuous wave (FMCW) radar in remote monitoring of heart rate and respiration in scenarios resembling a set of normal and abnormal physiological conditions during sleep. We evaluate the vital signs of ten subjects in different lying positions during various tasks. Specifically, we aim for a broad range of both heart and respiration rates to replicate various real-life scenarios and to test the robustness of the selected vital sign extraction methods consisting of fast Fourier transform based cepstral and autocorrelation analyses. As compared to the reference signals obtained using Embla titanium, a certified medical device, we achieved an overall relative mean absolute error of 3.6% (86% correlation) and 9.1% (91% correlation) for the heart rate and respiration rate, respectively. Our results promote radar-based clinical monitoring by showing that the proposed radar technology and signal processing methods accurately capture even such alarming vital signs as minimal respiration. Furthermore, we show that common parameters for heart rate variability can also be accurately extracted from the radar signal, enabling further sleep analyses.

scholarly journals The WINPack 1 a novel wearable system for heart rate and vital signs monitoring

2011 ◽  
Vol 25 ◽  
pp. 1037-1040 ◽  
Author(s):  
I. Del Chicca ◽  
G. Macrì ◽  
V. Pensabene ◽  
F. De Negri ◽  
P. Valdastri
Keyword(s):  
Heart Rate ◽  
Vital Signs ◽  
Wearable System ◽  
Vital Signs Monitoring

scholarly journals A Low Cost Wearable Medical Device for Vital Signs Monitoring in Low-Resource Settings

2019 ◽  
Vol 9 (4) ◽  
pp. 2321
Author(s):  
Muhammad Niswar ◽  
Muhammad Nur ◽  
Idar Mappangara
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Medical Device ◽  
Low Cost ◽  
Vital Signs ◽  
Oxygen Saturation Level ◽  
Low Resource Settings ◽  
Low Resource ◽  
Vital Signs Monitoring ◽  
Wearable Medical

Medical devices are often expensive, so people in low-income countries cannot afford them. This paper presents the design of a low-cost wearable medical device to measure vital signs of a patient including heart rate, blood oxygen saturation level (SpO2) and respiratory rate. The wearable medical device mainly consists of a microcontroller and two biomedical sensors including airflow thermal sensor to measure respiratory rate and pulse oximeter sensor to measure SpO2 and heart rate. We can monitor the vital signs from a smartphone using a web browser through IEEE802.11 wireless connectivity to the wearable medical device. Furthermore, the wearable medical device requires simple management to operate; hence, it can be easily used. Performance evaluation results show that the designed wearable medical device works as good as a standard SpO2 device and it can measure the respiratory rate properly.  The designed wearable medical device is inexpensive and appropriate for low-resource settings. Moreover, as its components are commonly available in the market, it easy to assembly and repair locally.

scholarly journals Comprehensive pregnancy monitoring with a network of wireless, soft, and flexible sensors in high- and low-resource health settings

2021 ◽  
Vol 118 (20) ◽  
pp. e2100466118
Author(s):  
Dennis Ryu ◽  
Dong Hyun Kim ◽  
Joan T. Price ◽  
Jong Yoon Lee ◽  
Ha Uk Chung ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Body Position ◽  
Vital Signs ◽  
Blood Oxygenation ◽  
Morbidity And Mortality ◽  
Low Resource Settings ◽  
Low Resource ◽  
Vital Signs Monitoring ◽  
Wide Range

Vital signs monitoring is a fundamental component of ensuring the health and safety of women and newborns during pregnancy, labor, and childbirth. This monitoring is often the first step in early detection of pregnancy abnormalities, providing an opportunity for prompt, effective intervention to prevent maternal and neonatal morbidity and mortality. Contemporary pregnancy monitoring systems require numerous devices wired to large base units; at least five separate devices with distinct user interfaces are commonly used to detect uterine contractility, maternal blood oxygenation, temperature, heart rate, blood pressure, and fetal heart rate. Current monitoring technologies are expensive and complex with implementation challenges in low-resource settings where maternal morbidity and mortality is the greatest. We present an integrated monitoring platform leveraging advanced flexible electronics, wireless connectivity, and compatibility with a wide range of low-cost mobile devices. Three flexible, soft, and low-profile sensors offer comprehensive vital signs monitoring for both women and fetuses with time-synchronized operation, including advanced parameters such as continuous cuffless blood pressure, electrohysterography-derived uterine monitoring, and automated body position classification. Successful field trials of pregnant women between 25 and 41 wk of gestation in both high-resource settings (n = 91) and low-resource settings (n = 485) demonstrate the system’s performance, usability, and safety.

scholarly journals An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2479 ◽  
Author(s):  
Faheem Khan ◽  
Asim Ghaffar ◽  
Naeem Khan ◽  
Sung Ho Cho
Keyword(s):  
Heart Rate ◽  
Signal Processing ◽  
Health Monitoring ◽  
Vital Signs ◽  
Impulse Radio ◽  
Non Invasive ◽  
Uwb Radar ◽  
Processing Techniques ◽  
Signal Processing Techniques ◽  
Remote Health

Non-invasive remote health monitoring plays a vital role in epidemiological situations such as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 because it is extremely risky to get close to the patient due to the spread of contagious infections. Non-invasive monitoring is also extremely necessary in situations where it is difficult to use complicated wired connections, such as ECG monitoring for infants, burn victims or during rescue missions when people are buried during building collapses/earthquakes. Due to the unique characteristics such as higher penetration capabilities, extremely precise ranging, low power requirement, low cost, simple hardware and robustness to multipath interferences, Impulse Radio Ultra Wideband (IR-UWB) technology is appropriate for non-invasive medical applications. IR-UWB sensors detect the macro as well as micro movement inside the human body due to its fine range resolution. The two vital signs, i.e., respiration rate and heart rate, can be measured by IR-UWB radar by measuring the change in the magnitude of signal due to displacement caused by human lungs, heart during respiration and heart beating. This paper reviews recent advances in IR- UWB radar sensor design for healthcare, such as vital signs measurements of a stationary human, vitals of a non-stationary human, vital signs of people in a vehicle, through the wall vitals measurement, neonate’s health monitoring, fall detection, sleep monitoring and medical imaging. Although we have covered many topics related to health monitoring using IR-UWB, this paper is mainly focused on signal processing techniques for measurement of vital signs, i.e., respiration and heart rate monitoring.

scholarly journals Non-Contact Vital Signs Monitoring of Dog and Cat Using a UWB Radar

Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 205 ◽  
Author(s):  
Pengfei Wang ◽  
Yangyang Ma ◽  
Fulai Liang ◽  
Yang Zhang ◽  
Xiao Yu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Health Assessment ◽  
Pressure Sensors ◽  
Vital Signs ◽  
Noise Removal ◽  
Ultra Wideband ◽  
Response To Treatment ◽  
Vital Signs Monitoring ◽  
Mode Decomposition ◽  
Wideband Radar

As pets are considered members of the family, their health has received widespread attention. Since pets cannot talk and complain when they feel uncomfortable, monitoring vital signs becomes very helpful in disease detection, as well as observing their progression and response to treatment. In this study, we proposed an ultra-wideband radar-based, non-contact animal vital sign monitoring scheme that could monitor the breathing and heart rate of a pet in real-time. The primary advantage of the ultra-wideband radar was its ability to operate remotely without electrodes or wires and through any clothing or fur. Because of the existing noise and clutter in non-contact detection, background noise removal was applied. Furthermore, the respiration rate was directly obtained through spectrum analysis, while the heartbeat signal was extracted by the variational mode decomposition algorithm. By using electrocardiogram measurements, we verified the accuracy of the radar technology in detecting the anesthetized animals’ respiratory rate and heart rate. Besides, three beagles and five cats in a non-sedated state were measured by radar and contact pressure sensors simultaneously; the experimental results showed that radar could effectively measure the respiration of cats and dogs, and the accuracy rate was over 95%. Due to its excellent performance, the proposed method has the potential to become a new choice in application scenarios, such as pet sleep monitoring and health assessment.

scholarly journals Non-contact physiological monitoring of post-operative patients in the intensive care unit

2022 ◽  
Vol 5 (1) ◽  
Author(s):  
João Jorge ◽  
Mauricio Villarroel ◽  
Hamish Tomlinson ◽  
Oliver Gibson ◽  
Julie L. Darbyshire ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Vital Signs ◽  
Reference Value ◽  
Absolute Error ◽  
Video Camera ◽  
Clinical Observations ◽  
Operative Care ◽  
Respiratory Events

AbstractProlonged non-contact camera-based monitoring in critically ill patients presents unique challenges, but may facilitate safe recovery. A study was designed to evaluate the feasibility of introducing a non-contact video camera monitoring system into an acute clinical setting. We assessed the accuracy and robustness of the video camera-derived estimates of the vital signs against the electronically-recorded reference values in both day and night environments. We demonstrated non-contact monitoring of heart rate and respiratory rate for extended periods of time in 15 post-operative patients. Across day and night, heart rate was estimated for up to 53.2% (103.0 h) of the total valid camera data with a mean absolute error (MAE) of 2.5 beats/min in comparison to two reference sensors. We obtained respiratory rate estimates for 63.1% (119.8 h) of the total valid camera data with a MAE of 2.4 breaths/min against the reference value computed from the chest impedance pneumogram. Non-contact estimates detected relevant changes in the vital-sign values between routine clinical observations. Pivotal respiratory events in a post-operative patient could be identified from the analysis of video-derived respiratory information. Continuous vital-sign monitoring supported by non-contact video camera estimates could be used to track early signs of physiological deterioration during post-operative care.

scholarly journals FPGA Based Health Monitoring System

2020 ◽  
Vol 8 (5) ◽  
pp. 5573-5575
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
Vital Signs ◽  
The Body ◽  
Health Report ◽  
Reduced Physical Activity ◽  
Healthcare Monitoring

In present days, Health issues are occurring more frequently. Because of climatic changes, industrialization and technical advancement which led to reduced physical activity. Saving lives requires monitoring the health conditions of people who have chronic diseases or heart related problems. Decrease in morbidity from disease and extend lives can be achieved by earlier detection of problems. When we reach a certain age we have to keep monitoring the three vital signs of the body to extend our lives. In this paper, we are designing a healthcare monitoring system which can either monitor or measure three vital signs i.e. heart rate, respiratory rate and body temperature of human body. The developed system uses wearable sensors to measure body temperature, heart rate and breathing rate. In order to minimize human involvement and respond at an appropriate time a health monitoring designed FGPA system will take the data from the sensors and analyze the date. It will give the health report, health status and alerts the concerned whenrequired.

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