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Monitoring Infants by Automatic Video Processing

Luca Cattani
2016 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals  ...  We focus on monitoring infants potentially at risk of diseases characterized by the presence or absence of rhythmic movements of one or more body parts.  ...  In the case of respiratory diseases, since chest movements are subtle, the video can be pre-processed by a recently proposed selective magnification algorithm, namely the eulerian video magnification (  ... 
doi:10.5565/rev/elcvia.983 fatcat:mlnstlys25dcrdrezww76gini4

Video Processing for Remote Respiration Monitoring

Davide Alinovi
2018 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events.  ...  In this work, novel techniques for the visualization and analysis of respiration by remote and non-invasive video monitoring, based on the study of breathing-related movements, are proposed.  ...  Applying the EVM algorithm as a pre-processing technique, the extraction of an average motion signal describing respiration-related movements, followed by periodicity analysis based on Maximum Likelihood  ... 
doi:10.5565/rev/elcvia.1124 fatcat:qxvfpcwz4naipldjfsdo6hrodm

Markov Chain Modeling and Simulation of Breathing Patterns [article]

Davide Alinovi, Gianluigi Ferrari, Francesco Pisani, Riccardo Raheli
2016 arXiv   pre-print
The Respiratory Rate (RR) pattern, estimated by measured vital signs of hospital-monitored patients, is approximated as a CTMC, whose states and parameters are selected through an appropriate statistical  ...  video-based monitoring systems.  ...  The simulated video is obtained by processing a video sample of a sleeping newborn breathing regularly with an approximate rate ̺ V = 0.69 Hz.  ... 
arXiv:1610.01444v1 fatcat:tr5cqjfe3jhkrbfm3gi6vj4r4q

DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information

Walaa Othman, Alexey Kashevnik, Ammar Ali, Nikolay Shilov
2022 Data  
In this paper, we introduce DriverMVT (Driver Monitoring dataset with Videos and Telemetry).  ...  The dataset contains information about the driver head pose, heart rate, and driver behaviour inside the cabin like drowsiness and unfastened belt.  ...  maximum likelihood method to capture driver signature.  ... 
doi:10.3390/data7050062 fatcat:os6c72moxrhrlh7uhj2ap4q3yy

Estimation of Respiratory Rate from Thermography Using Respiratory Likelihood Index

Yudai Takahashi, Yi Gu, Takaaki Nakada, Ryuzo Abe, Toshiya Nakaguchi
2021 Sensors  
Monitoring respiratory rate (RR) under non-contact is particularly important for providing appropriate pre-hospital care in emergencies.  ...  By calculating the respiratory likelihood of each segmented region using the newly proposed index, called the Respiratory Quality Index, the respiratory region is automatically selected and the RR is estimated  ...  The likelihood of the respiratory signal is calculated in each region by RQI. RR f in the region where RQI is maximum is taken as the RR of the subject.  ... 
doi:10.3390/s21134406 pmid:34199084 fatcat:ivo6e6jrlvfv3cfolaluk4gtc4

Respiratory Rate Estimation from Face Videos

Mingliang Chen, Qiang Zhu, Harrison Zhang, Min Wu, Quanzeng Wang
2019 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)  
Vital signs, such as heart rate (HR), heart rate variability (HRV), respiratory rate (RR), are important indicators for a person's health.  ...  Commercial cameras are promising contact-free sensors, and remote photoplethysmography (rPPG) have been studied to remotely monitor heart rate from face videos.  ...  Disclaimer: The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by  ... 
doi:10.1109/bhi.2019.8834499 dblp:conf/bhi/Chen0Z0W19 fatcat:pw3pc4oynvbsfewxonqa5w6mwy

Vision-Based Heart and Respiratory Rate Monitoring During Sleep -- A Validation Study for the Population at Risk of Sleep Apnea

Kaiyin Zhu, Michael Li, Sina Akbarian, Maziar Hafezi, Azadeh Yadollahi, Babak Taati
2019 IEEE Journal of Translational Engineering in Health and Medicine  
This vision-based method may prove suitable for overnight, non-contact monitoring of respiratory rate.  ...  A reliable, accessible, and non-intrusive method for tracking respiratory and heart rate is important for improving monitoring and detection of sleep apnea.  ...  [34] ) were chosen based on the availability of code and also based on the ability of these approaches to process monochromatic video by analyzing motion. V.  ... 
doi:10.1109/jtehm.2019.2946147 pmid:32166048 pmcid:PMC6889941 fatcat:22bz34vuqrc2ppelcydr5hmghi

Analysis of ependymal ciliary beat pattern and beat frequency using high speed imaging: comparison with the photomultiplier and photodiode methods

Chris O'Callaghan, Kulvinder Sikand, Mark A Chilvers
2012 Cilia  
Results: The mean (95% confidence intervals) beat frequencies determined by the high speed video, photomultiplier and photodiode at 30°C were 27.7 (26.6 to 28.8), 25.5 (24.4 to 26.6) and 20.8 (20.4 to  ...  The mean (95% confidence intervals) beat frequencies determined by the high speed video, photomultiplier and photodiode at 37°C were 36.4 (34 to 39.5), 38.4 (36.8 to 39.9) and 18.8 (16.9 to 20.5) Hz.  ...  There is a broad agreement between the [14, 15] involves the relay of images from a standard video camera to a monitor at a frame rate of 25/second.  ... 
doi:10.1186/2046-2530-1-8 pmid:23351965 pmcid:PMC3555703 fatcat:zbeptd7gbjcwxiailkkj67slga

Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment

Mauricio Villarroel, João Jorge, David Meredith, Sheera Sutherland, Chris Pugh, Lionel Tarassenko
2020 Scientific Reports  
Maps of the spatial distribution of heart rate and respiratory rate information were developed from the coefficients of the auto-regressive models.  ...  Most of the periods for which the camera could not produce a reliable heart rate estimate lasted under 3 min, thus opening the possibility to monitor heart rate continuously in a clinical environment.  ...  Acknowledgements MV was supported by the Oxford Centre of Excellence in Medical Engineering funded by the Wellcome Trust and EPSRC under grant number WT 88877/Z/09/Z.  ... 
doi:10.1038/s41598-020-75152-z pmid:33116150 fatcat:76x4ihq6e5dknjj7yqx6dlw5pq

Estimating heart rate via depth video motion tracking

Cheng Yang, Gene Cheung, Vladimir Stankovic
2015 2015 IEEE International Conference on Multimedia and Expo (ICME)  
In this paper, we propose to capture depth video using Kinect 2.0 to estimate the heart rate of a human subject; as blood is pumped to circulate through the head, tiny oscillatory head motion can be detected  ...  Depth sensors like Microsoft Kinect can acquire partial geometric information in a 3D scene via captured depth images, with potential application to non-contact health monitoring.  ...  In [9] , a Kinect sensor is used to estimate respiratory and heart rates.  ... 
doi:10.1109/icme.2015.7177517 dblp:conf/icmcs/YangCS15 fatcat:ngqst2msajhercczrrjm5pyz4q

A Unique Framework for Contactless Estimation of Body Vital Signs using Facial Recognition

M. Bhanu Sridhar, Sai Himaja Kinthada, Bhargavi Marni
2021 International journal of computer science and mobile computing  
This may intend people to monitor their heart rate, pulse rate, respiratory life and oxygen saturation levels at an ease.  ...  This innovation estimates vague facial blood stream changes from video recordings captured by camera with the help of machine learning and image processing techniques.  ...  The table II illustrates the results of the accuracy rate calculated from the original Respiratory rate and the extracted Respiratory rate. IV.  ... 
doi:10.47760/ijcsmc.2021.v10i12.002 fatcat:mtsrwgwzjjdf3dtwpiyipbs72y

Camera-Based On-Line Short Cessation of Breathing Detection

Ilde Lorato, Sander Stuijk, Mohammed Meftah, Wim Verkruijsse, Gerard de Haan
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
Signals obtained through camera-based respiration monitoring were analyzed in five infants with 91 annotated cessations of breathing.  ...  [ 3] proposed a method based on maximum likelihood modeling and motion magnification able to automatically select the Region Of Interest (ROI).  ...  (Section 2.1.1) is used to extract the respiratory signal. On this respiratory signal, we run our COB-detector described in Section 2.1.2. Additionally, we compute and output the respiratory rate.  ... 
doi:10.1109/iccvw.2019.00205 dblp:conf/iccvw/LoratoSMVH19 fatcat:mtfyg6bvcrch5bks3xsoscan5u

Non-Contact Vital Sign Monitoring in the Clinic

Mauricio Villarroel, Joao Jorge, Chris Pugh, Lionel Tarassenko
2017 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)  
Current monitoring systems available to track changes in the vital signs of patients (such as heart rate, respiratory rate or peripheral oxygen saturation ( 2 )) require adhesive electrodes or sensors  ...  Abstract Current monitoring systems available to track changes in the vital signs of patients (such as heart rate, respiratory rate or peripheral oxygen saturation ( 2 )) require adhesive electrodes or  ...  The maximum error of heart rate and respiratory rates was 10 beats/min and 7 breaths/min respectively.  ... 
doi:10.1109/fg.2017.43 dblp:conf/fgr/VillarroelJPT17 fatcat:n6gzfcfyondipcdkstic57blie

Multi-Modal, Remote Breathing Monitor

Nir Regev, Dov Wulich
2020 Sensors  
maximum likelihood fashion.  ...  We tested this multimodal set-up on 14 human subjects and we report a maximum error of 0.5 BPM compared to the true breathing rate.  ...  All these signals including the analyzed radar return are then fed into a maximum likelihood estimator to produce one optimal breathing rate.  ... 
doi:10.3390/s20041229 pmid:32102346 pmcid:PMC7070252 fatcat:egvk2tsla5dirjtzdj3kepecey

Risk Factors for Cardiac Complications during Anesthesia for Laparoscopic Cholecystectomy Video

Yacnira Martinez Bazan
2016 Journal of Anesthesia & Critical Care Open Access  
Age, hypertension, ischemic heart disease were identified as the most important risk factors in the occurrence of cardiac complications in anesthesia for laparoscopic cholecystectomy video.  ...  In the operating room after performing noninvasive patient monitoring by DOCTUS VII monitor, with heart rate, blood pressure, respiratory rate, pulse oximetry, continuous electrocardiography in DII lead  ...  Adjusting the logistic regression function, equivalent to the estimated parameters it was performed by the method of maximum likelihood.  ... 
doi:10.15406/jaccoa.2016.04.00152 fatcat:elb6b3swjvgmbhbd4jl5tjnsua
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