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Patient-Specific Pose Estimation in Clinical Environments

Kenny Chen, Paolo Gabriel, Abdulwahab Alasfour, Chenghao Gong, Werner K. Doyle, Orrin Devinsky, Daniel Friedman, Patricia Dugan, Lucia Melloni, Thomas Thesen, David Gonda, Shifteh Sattar (+2 others)
2018 IEEE Journal of Translational Engineering in Health and Medicine  
Reliable posture labels in hospital environments can augment research studies on neural correlates to natural behaviors and clinical applications that monitor patient activity.  ...  The proposed framework uses subject-specific convolutional neural network models trained on a subset of a patient's RGB video recording chosen to maximize the feature variance of each joint.  ...  ACKNOWLEDGMENTS We would like to thank those at UC San Diego, Rady Children's Hospital of San Diego, and the Comprehensive Epilepsy Center at the New York University Langone Medical Center.  ... 
doi:10.1109/jtehm.2018.2875464 pmid:30483453 pmcid:PMC6255526 fatcat:cxi7q4lr7jeyrcoadedof5kzoq

Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings [article]

Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
2020 arXiv   pre-print
Our work addresses the unique data analysis challenges in studying naturalistic human behaviors, and contributes methods that may generalize to other neural recording modalities beyond ECoG.  ...  Our pipeline discovers and annotates over 40,000 instances of naturalistic human upper-limb movement events in the behavioral videos.  ...  Acknowledgements We thank John So for extensive help with manual annotation of the video data. This work benefited from and was enabled by the groundwork laid by Nancy X. R.  ... 
arXiv:2001.08349v2 fatcat:xdtqggoaovawbarh4ev7i6yyb4

Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings

Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Peter Hilfiker, Thomas Grunwald, Marcellina Ha Berlin, Lukas Imbach, Carl Muroi, Christian Stra Ssle, Emanuela Keller, Maria Gabrani
2021 AMIA Annual Symposium Proceedings  
In addition to automatic vital sign monitoring, epilepsy patients need manual monitoring by trained personnel, a task that is very difficult to be performed continuously for each patient.  ...  Continuous patient monitoring is essential to achieve an effective and optimal patient treatment in the intensive care unit.  ...  A 3D video-EEG analysis system based on color and depth cameras (RGB-D) was recently developed for the quantification of motion in epileptic seizures.  ... 
pmid:33936476 pmcid:PMC8075529 fatcat:xwhgphgoevfr3iiiay65picq6i

Video and audio processing in paediatrics: a review

S Cabon, F Porée, A Simon, O Rosec, P Pladys, G Carrault
2019 Physiological Measurement  
unit (NICU).  ...  Video and sound acquisition and processing technologies have seen great improvements in recent decades, with many applications in the biomedical area.  ...  Acknowledgment Results incorporated in this publication received funding from the European Union's Horizon 2020 research and innovation program under grant agreement N o 689260 (Digi-NewB project).  ... 
doi:10.1088/1361-6579/ab0096 pmid:30669130 fatcat:tkubpagmlnbuje5zf6s3if7kze

AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review

Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, Marion Rapp, Marcin Grzegorzek
2020 Sensors  
In this article, we systematically analyze and discuss the main design features of all existing technological approaches seeking to transfer the Prechtl's assessment of general movements from an individual  ...  General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude.  ...  Therefore, outcomes yielded by the classical GMA based on RGB videos have been compared to experts' analysis of pose estimations extracted from the same videos.  ... 
doi:10.3390/s20185321 pmid:32957598 pmcid:PMC7570604 fatcat:5m2lsebfzfenvjjajwbyd3ct5i

Low-Complexity Image Processing for Real-Time Detection of Neonatal Clonic Seizures

G. M. K. Ntonfo, G. Ferrari, R. Raheli, F. Pisani
2012 IEEE Transactions on Information Technology in Biomedicine  
Our approach is based on the extraction, from a video of a newborn, of an average luminance signal representative of the body movements.  ...  In this paper, we consider a novel low-complexity realtime image-processing-based approach to the detection of neonatal clonic seizures.  ...  In [6] , the authors discuss the use of optical flow techniques to discriminate between movement and nonmovement in nocturnal recordings from pediatric patients with epilepsy.  ... 
doi:10.1109/titb.2012.2186586 pmid:22318500 fatcat:t5bpmvijs5e2zhraip2fypsccq

Low-complexity image processing for real-time detection of neonatal clonic seizures

G. Ferrari, G. M. Kouamou, C. Copioli, R. Raheli, F. Pisani
2010 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)  
Our approach is based on the extraction, from a video of a newborn, of an average luminance signal representative of the body movements.  ...  In this paper, we consider a novel low-complexity realtime image-processing-based approach to the detection of neonatal clonic seizures.  ...  In [6] , the authors discuss the use of optical flow techniques to discriminate between movement and nonmovement in nocturnal recordings from pediatric patients with epilepsy.  ... 
doi:10.1109/isabel.2010.5702898 fatcat:v5sstrbf3zhx3gsl2qhe6ac4dm


2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
In this paper, we develop a systematic approach to design a low power, compact, fast and reliable neural network automatically.  ...  The latest research from Rockefeller University in the United States in 2014 found that humans can smell one trillion fragrances, and smell is one of the best ways to wake up memory.  ...  Myke D. M.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq


2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
Firstly, we adopt the Gated Recurrent Unit (GRU) network to learn the complex sequential transition patterns from users' check-in behavior.  ...  It causes incorrect justification of antenna behaviors in RCS estimation for the target under detection.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
Acknowledgement This project was supported by the GSU Brains and Behavior program Acknowledgements We would like to most importantly thank all our subjects who participated in these studies.  ...  Acknowledgement Neural Engineering System Design (NESD) program from the Defense Advanced Research Projects Agency (DARPA).  ...  to neural correlations and neural representation properties.  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
the exchange/communication of R&D ideas by means of verbal and written statements made by responsible authors, scrutinized by informed reviewers and utilized by an open-minded audience, with the aim to  ...  In the times of COVID-19 overshadowing CARS 2020 and what the future may hold, a CARS meeting with these numbers of participants is not feasible anymore and new ways have to be explored to still fulfill  ...  Acknowledgments This work was partly supported by a grant from Galgo Medical SL. We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Jerome Thevenot, Miguel Bordallo Lopez, Abdenour Hadid
2018 IEEE journal of biomedical and health informatics  
This survey aims to give an overview of the recent developments in medical diagnostics from facial images based on computer vision methods.  ...  Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition.  ...  In most of these studies, the estimation of pulse is strongly correlated with the heart rate assessed from finger sensors or electrocardiograms, presenting 1-2% errors.  ... 
doi:10.1109/jbhi.2017.2754861 pmid:28991753 fatcat:l5gbc7jfuvga3igfp4exuzjzyu

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
, Trullo, R., Lian, J., Wang, L., Petitjean, C., Ruan, S., Wang, Q., and Shen, D., Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks" [Mar 18 2720-2730]; TBME Sept. 2020  ...  Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor; TBME Jan. 2020 203-212 Nakanishi, M., Wang, Y., Wei, C., Chiang, K., and Jung, T., Facilitating Calibration in High-Speed BCI Spellers via  ...  Nie, D., +, TBME Sept. 2020 2706 Corrections to "Portable System for Time-Domain Diffuse Correlation Spec- troscopy" [Nov 19 3014-3025].  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

3D Morphable Face Models – Past, Present and Future [article]

Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz (+1 others)
2020 arXiv   pre-print
The challenges in building and applying these models, namely capture, modeling, image formation, and image analysis, are still active research topics, and we review the state-of-the-art in each of these  ...  In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed.  ...  ACKNOWLEDGMENTS This survey paper was initiated at the Dagstuhl Seminar 19102 on 3D Morphable Models ] and contains ideas resulting from discussions at this seminar.  ... 
arXiv:1909.01815v2 fatcat:g3wtdppy7ze3dildi6a3siq4qy

Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences – evidence from pupillometry [article]

Sijia Zhao, Maria Chait, Fred Dick, Peter Dayan, Shigeto Furukawa, Hsin-I Liao
2018 biorxiv/medrxiv   pre-print
Norepinephrine (NE) is thought to play a key role in this process by serving as an interrupt signal, initiating model-resetting.  ...  However, evidence is from paradigms where participants actively monitored stimulus statistics.  ...  We have access to video record of the individual behavior of ~3,000,000 larvae.  ... 
doi:10.1101/466367 fatcat:a3bquw6n55amhodwmfoa2frboa
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