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Using sensor-fusion and machine-learning algorithms to assess acute pain in non-verbal infants: a study protocol

Jean-Michel Roué, Iris Morag, Wassim M Haddad, Behnood Gholami, Kanwaljeet J S Anand
2021 BMJ Open  
Multimodal pain assessment, using sensor-fusion and machine-learning algorithms, can provide a patient-centred, context-dependent, observer-independent and objective pain measure.Methods and analysisIn  ...  newborns undergoing painful procedures, we use facial electromyography to record facial muscle activity-related infant pain, ECG to examine heart rate (HR) changes and HR variability, electrodermal activity  ...  framework to detect pain in non-verbal infants based on machine learning to detect pain using multimodal sensor data.  ... 
doi:10.1136/bmjopen-2020-039292 pmid:33408199 fatcat:kkfpectjzzfnleovvfvonmoysy

Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition

Philip Gouverneur, Frédéric Li, Wacław M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek
2021 Sensors  
Recent approaches have proposed automatic pain evaluation systems using machine learning models trained with data coming from behavioural or physiological sensors.  ...  Although yielding promising results, machine learning studies for sensor-based pain recognition remain scattered and not necessarily easy to compare to each other.  ...  Acknowledgments: We would like to thank Luisa Lübke and Robert Kämper for their great help in recruiting and supervising participants during the acquisition of the PMDB dataset.  ... 
doi:10.3390/s21144838 fatcat:c6qfjaij2rhsrdlgshebbbvu2a

Scope of physiological and behavioural pain assessment techniques in children – a review

Saranya Devi Subramaniam, Brindha Doss, Lakshmi Deepika Chanderasekar, Aswini Madhavan, Antony Merlin Rosary
2018 Healthcare technology letters  
Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children.  ...  pain in children.  ...  Secondly, data labelling in the machine learning approach will be exigent since its more error prone and tedious.  ... 
doi:10.1049/htl.2017.0108 pmid:30155264 pmcid:PMC6103781 fatcat:z7cdizvs2ncs5jgdjjsy6uzzby

How Can AI Recognize Pain and Express Empathy [article]

Siqi Cao, Di Fu, Xu Yang, Pablo Barros, Stefan Wermter, Xun Liu, Haiyan Wu
2021 arXiv   pre-print
Recently, also artificial intelligence research has allowed empathic machine learning methods to be approachable.  ...  The current drive for automated pain recognition is motivated by a growing number of healthcare requirements and demands for social interaction make it increasingly essential.  ...  Electrodermal Activity (EDA) (i.e., monitoring ICU patients) [105] , [38] .  ... 
arXiv:2110.04249v1 fatcat:f6gvjacowfafnfybb2mgoip2ni

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions

Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì, Cosimo Distante
2022 Sensors  
Alternatively, remotely acquired video data (e.g., RGB or depth) can be used, with or without active/passive markers positioned on the body.  ...  Besides, it gives a glimpse of the most promising techniques in computer vision, machine learning and pattern recognition which could be profitably exploited for children motion analysis in videos.  ...  Most recently, methodological and technological progress in computer vision, machine learning and pattern recognition introduced disrupting improvements in automatic human activity recognition in videos  ... 
doi:10.3390/s22030866 pmid:35161612 pmcid:PMC8839211 fatcat:6rv7kiyj35hbrdurqmyfcufnwm

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

David Naranjo-Hernández, Javier Reina-Tosina, Laura M. Roa
2020 Sensors  
The space of available technologies and resources aimed at pain assessment represent a diversified set of alternatives that can be exploited to address the multidimensional nature of pain.  ...  As the assessment and management of pain are essential issues for a wide range of clinical disorders and treatments, this paper reviews different sensor-based approaches applied to the objective evaluation  ...  In [313] , an app is described that uses machine learning on physical activity data and pain self-report documents to find routine behaviors and automatically generate physical activity recommendations  ... 
doi:10.3390/s20020365 pmid:31936420 pmcid:PMC7014460 fatcat:u74tfa6kf5h7lllurwrfpvavrq

Moulding student emotions through computational psychology: affective learning technologies and algorithmic governance

Ben Williamson
2017 Educational Media International  
In particular, 'social-emotional learning' has become a new focus within education.  ...  As the field of science and technology studies (STS) has demonstrated, technologies are produced, deployed, configured and used in specific social and political contexts (Gillespie, Boczkowski & Hood 2014  ...  Invisible images are actively watching us, poking and prodding, guiding our movements, inflicting pain and inducing pleasure.  ... 
doi:10.1080/09523987.2017.1407080 fatcat:c6kldetim5afll27gxvwtvhi3i

Human Emotion Recognition: Review of Sensors and Methods

Dzedzickis, Kaklauskas, Bucinskas
2020 Sensors  
Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction.  ...  The results of the analysis performed in this paper present applicable methods for each type of emotion and their intensity and propose their classification.  ...  This review focuses on the hardware and methods used for automated emotion recognition, which are applicable for machine learning procedures using obtained experimental data analysis and automated solutions  ... 
doi:10.3390/s20030592 pmid:31973140 pmcid:PMC7037130 fatcat:tkv5jgffarg3xntjmslnzdt3tm

Automatic pain quantification using autonomic parameters

Steffen Walter, Sascha Gruss, Kerstin Limbrecht-Ecklundt, Harald C. Traue, Philipp Werner, Ayoub Al-Hamadi, Nicolai Diniz, Gustavo Moreira da Silva, Adriano O. Andrade
2014 Psychology and Neuroscience  
In this context, we collected a database of biopotentials to advance an automated pain recognition system, determine its theoretical testing quality, and optimize its performance.  ...  ., pain scales and questionnaires) are commonly used to measure clinical pain, they tend to lack objectivity, reliability, or validity when applied to mentally impaired individuals.  ...  Acknowledgements This research was part of the DFG/TR233/12 "Advancement and Systematic Validation of an Automated Pain Recognition System on the Basis of Facial Expression and Psychobiological Parameters  ... 
doi:10.3922/j.psns.2014.041 fatcat:fhqw5oxvorhhjnaeqouavlcpre

Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review [article]

Aamir Arsalan, Syed Muhammad Anwar, Muhammad Majid
2022 arXiv   pre-print
In particular, wearable sensor-based methods commonly use data from electroencephalography, electrocardiogram, galvanic skin response, electromyography, electrodermal activity, heart rate, heart rate variability  ...  , and photoplethysmography both individually and in multimodal fusion strategies.  ...  Further, such assessments have been used to benchmark machine learning-based methods.  ... 
arXiv:2202.03033v1 fatcat:ejzj3wn7drcdnidtbghfiv4x4a

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses; TBME April 2020 1105-1113 Narayanan, A.M., and Bertrand, A., Analysis of Miniaturization Effects and Channel Selection Strategies  ...  Mandic, D.P., Hearables: Automatic 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  ...  ., +, TBME March 2020 738-749 Machine learning Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa ALeksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Čartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazım Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta (+27 others)
2022 Zenodo  
In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness.  ...  enable older, impaired or frail people to live independently and stay active longer in society.  ...  By using fast Fourier transformation, the image is then encrypted and sent via a carrier image, which has to be decoded. In order to detect a fall, machine learning is applied.  ... 
doi:10.5281/zenodo.6390708 fatcat:6qfwqd2v2rhe5iuu5zgz77ay4i


2018 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)  
He has written over 200 articles and three books on the strategic application of IT in health care, including the most widely used textbook on the topic, "Healthcare Information Systems: A Practical Approach  ...  Accomplishments John was the founding chair of the College of Healthcare Information Management Executives (CHIME) and the past-president of the Healthcare Information and Management Systems Society (HIMSS  ...  )); Tsiknakis, Manolis (ICS-FORTH) 13:15-13:30 WeBT1.4 Wearable Sensors and Machine Learning Diagnose Anxiety and Depression in Young Children McGinnis, Ryan S.* (University of Vermont); McGinnis  ... 
doi:10.1109/bsn.2018.8329643 fatcat:2v33mwoo2jb4jdyrakoqc2rvhu

Program Book

2020 2020 5th International Conference on Universal Village (UV)  
By doing a fusion on these aspects, we hope we may be able to monitor breast pain and related activities more precisely.  ...  It is a wearable device that can be used to monitor the electrodermal activity, heart rate, electromyogram and other bio-signals.  ...  Additional Instructions on using Microsoft Teams for First-time Users  ... 
doi:10.1109/uv50937.2020.9426196 fatcat:bikzcbilgbfp5jzssihjmswpua

Ambient intelligence

Fariba Sadri
2011 ACM Computing Surveys  
Among technologies, we focus on ambient data management and artificial intelligence; for example planning, learning, event-condition-action rules, temporal reasoning, and agent-oriented technologies.  ...  In this article we survey ambient intelligence (AmI), including its applications, some of the technologies it uses, and its social and ethical implications.  ...  ACKNOWLEDGMENTS I am grateful to Bob Kowalski for very helpful comments and discussions. I am also grateful to the anonymous reviewers.  ... 
doi:10.1145/1978802.1978815 fatcat:gxuglljhsbeuxjdgxfcs5fs6la
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