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Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst

Jerritta Selvaraj, Murugappan Murugappan, Khairunizam Wan, Sazali Yaacob
<span title="">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u2ij72rn4fgcljv3o6um2aiwge" style="color: black;">BioMedical Engineering OnLine</a> </i> &nbsp;
Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the underlying true emotional state of a person.  ...  Methods: Emotional ECG data was obtained from sixty participants by inducing the six basic emotional states (happiness, sadness, fear, disgust, surprise and neutral) using audio-visual stimuli.  ...  We are thankful to the members of 'Intelligent Signal Processing' and 'Automav' research cluster who participated in the pilot study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1475-925x-12-44">doi:10.1186/1475-925x-12-44</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23680041">pmid:23680041</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3680185/">pmcid:PMC3680185</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7rp3w2rq3vdr7ocw4u23ukp2ji">fatcat:7rp3w2rq3vdr7ocw4u23ukp2ji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150910021050/http://www.biomedical-engineering-online.com/content/pdf/1475-925X-12-44.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1475-925x-12-44"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680185" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Attentional and emotional tasks: gender differences in heart rate variability detected by short-term detrended fluctuation analysis

Rita Balocchi, Maurizio Varanini, Enrica Laura Santarcangelo
<span title="">2012</span> <i title="IEEE"> The 5th 2012 Biomedical Engineering International Conference </i> &nbsp;
The electrocardiographic signal was recorded for all the duration of the sessions. The series of the beat-to-beat time intervals were analyzed by detrended fluctuation analysis.  ...  The subjects were requested to watch a relaxing movie for 30 minutes and, in a different day, to watch a stressful movie again for 30 minutes.  ...  ACKNOWLEDGMENT The authors wish to thank Giulia Paoletti and Eliana Scattina for helping in data acquisition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bmeicon.2012.6465486">doi:10.1109/bmeicon.2012.6465486</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dqxkmq5oyjdvvj3muksk6rpffy">fatcat:dqxkmq5oyjdvvj3muksk6rpffy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921210034/http://puma.isti.cnr.it/rmydownload.php?filename=cnr.ifc/cnr.ifc/2013-A2-001/2013-A2-001.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/21/6921901e922ff69b5cb857df42522731a814ab82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bmeicon.2012.6465486"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Invisible ECG for High Throughput Screening in eSports

Aline Santos Silva, Miguel Velhote Correia, Hugo Plácido Silva
<span title="2021-11-16">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
According to the results obtained, this approach shows 3–15% signal loss, with a mean difference in heart rate between the reference and experimental device of −1.778 ± 4.654 beats per minute (BPM); in  ...  However, body-worn devices, typically used for physiological data collection, may constitute a distraction and/or discomfort for the subjects.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21227601">doi:10.3390/s21227601</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34833674">pmid:34833674</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8620828/">pmcid:PMC8620828</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lhno34bhxneupppx7ftrex5p74">fatcat:lhno34bhxneupppx7ftrex5p74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426102516/https://mdpi-res.com/d_attachment/sensors/sensors-21-07601/article_deploy/sensors-21-07601.pdf?version=1637054989" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e5/40/e540b0c277c87d33ac9631d6a0d617f00363be98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21227601"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620828" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review

Muhammad Anas Hasnul, Nor Azlina Ab. Ab.Aziz, Salem Alelyani, Mohamed Mohana, Azlan Abd. Abd. Aziz
<span title="2021-07-23">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
The findings presented here are beneficial for prospective researchers to look into the summary of previous works conducted in the field of ECG-based emotion recognition systems, and for identifying gaps  ...  Currently, there are a lot of ways to build an emotion recognition system using various techniques and algorithms.  ...  Acknowledgments: We would like to acknowledge the input and assistance rendered to us by Chy Tawsif Khan, Sharifah Noor Masidayu Sayed Ismail, and Md Armanur Rahman from the Center for Engineering Computational  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21155015">doi:10.3390/s21155015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qum75nghzjgqpj5msholo6e7ue">fatcat:qum75nghzjgqpj5msholo6e7ue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210724034642/https://res.mdpi.com/d_attachment/sensors/sensors-21-05015/article_deploy/sensors-21-05015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/4c/cc4cf64e3262c36ad881491e8229a37e33facfa3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21155015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review

Teresa Henriques, Maria Ribeiro, Andreia Teixeira, Luísa Castro, Luís Antunes, Cristina Costa-Santos
<span title="2020-03-09">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
Hurst exponent, Lyapunov exponent entropies (Shannon, conditional, approximate, sample entropy, and multiscale entropy), and symbolic dynamics.  ...  Notwithstanding, they are still far from clinical practice. In this paper, we aim to review the nonlinear methods most used to assess heart-rate dynamics.  ...  A typical ECG trace consists of a P wave, a QRS complex, a T wave, and a U wave (Figure 1 ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e22030309">doi:10.3390/e22030309</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33286083">pmid:33286083</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7516766/">pmcid:PMC7516766</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4p4gzfxrordahkzzyf2d5qs3nu">fatcat:4p4gzfxrordahkzzyf2d5qs3nu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200315103012/https://res.mdpi.com/d_attachment/entropy/entropy-22-00309/article_deploy/entropy-22-00309.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a1/4a/a14a7913c25e4f8e18e7518cea2027750e1c294e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e22030309"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516766" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Intelligent emotion detection method based on deep learning in medical and health data

Jianqiang Xu, Zhujiao Hu, Junzhong Zou, Anqi Bi
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In the system, multi-channel convolutional aotoencoder neural network is used to extract electrocardiograms (ECG) data features and emotional text features for emotional fatigue detection.  ...  And the network structure of learning emotional text features by convolutional aotoencoder model is also described in detail. Finally, multi-modal data features are combined for emotional detection.  ...  In literature [11] , six emotion states are identified based on QRS signals in ECG signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2961139">doi:10.1109/access.2019.2961139</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p2fqw575efhvhmn33upwgvkvsi">fatcat:p2fqw575efhvhmn33upwgvkvsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108100929/https://ieeexplore.ieee.org/ielx7/6287639/8948470/08937486.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/80/6080bb5dafada64be12c97db506000b668ed4bb2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2961139"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Poster session 4

<span title="">2013</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zu7hysconfanjhrzcmav6opm6q" style="color: black;">Europace</a> </i> &nbsp;
RR intervals after SR restoration didn't differ significantly between 3 groups of pts within 24 h. No effect was noted on the duration of the QRS interval in pts received different doses of NF.  ...  Methods: In a matched-cohort design, 18 patients taking amiodarone before atrial fibrillation (AF) ablation (amiodarone group) were matched for age, sex and type of AF with 18 patients who have undergone  ...  detection date.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/europace/eut174">doi:10.1093/europace/eut174</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rlsx6ni5inavjht4jvt7z7bxhu">fatcat:rlsx6ni5inavjht4jvt7z7bxhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728120519/https://watermark.silverchair.com/eut174.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAbkwggG1BgkqhkiG9w0BBwagggGmMIIBogIBADCCAZsGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMQ3QmjjKGBK7p5g0PAgEQgIIBbNLIn58PSZeRuoyemHMjJ91MjvYVHxFB7MIT15HrAZToY7aElX5fa9U33glp-817AnKrBT_GYq203lgRuiKJ3o1RySFCpnhPTc2wlOMKx9hBys_nPzsCMydxSzm-XnCgBLcnXeG05vDtkPXlG8B_muEpxWZZbwKxvG21XYKUo0zhkXV5WGKG1cysjL3jG92eakdxLD0VSyReDPiR65oup1odNPlfWit-256klxX2zI1GaI1Ibf0f7iOywcVHe7WxVV10mGYKJc8GmjNzJsxaNJEpJOSOTw7XG9hehdf6xbIK2q6HPW1aWRdRbsI3oQJfjDR4KpIv0OQ8uP-NdlxXEqM5XigH46HA0kZ1gmbxhSWV_CI5hh-V2aaSvL7oOJh_7dI1MRkp_crzvzYKfBM4cJetC2es-EmyfaAkJfxNhZCu8DiavVyH0PnfaGAIkKqvSCv3_KYoP-YEhb0fSAKz6pMY4AxKksI0OCB1Oy0" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/65/886515bd11eb85fd1aa1be84ac6fdb76c69b721d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/europace/eut174"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces [article]

Constantino Álvarez Casado, Miguel Bordallo López
<span title="2022-02-01">2022</span>
Our work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face, robustly, reliably, and in a configurable manner.  ...  We show that all three changes introduce noticeable improvements in retrieving rPPG signals from faces, obtaining state-of-the-art results compared with unsupervised, non-learning-based methodologies,  ...  KFD gives an index D KF D for characterizing the complexity of the signal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2202.04101">doi:10.48550/arxiv.2202.04101</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ilcpb5awgncvrd4dbbpew4t2xu">fatcat:ilcpb5awgncvrd4dbbpew4t2xu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220210054453/https://arxiv.org/pdf/2202.04101.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/67/77670a4d4bc6cd106c62d8d2890b297a699e169c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2202.04101"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Analysis of Intracranial Electroencephalography for Prediction of Epileptic Seizure

Behrooz Abbaszadeh, University, My
<span title="2021-04-30">2021</span>
Using iEEG signals, the proposed algorithm is capable of forecasting seizures, informing a patient about [...]  ...  EEG signal for this window length.  ...  Their algorithm was applied to patients of different age groups.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20381/ruor-26283">doi:10.20381/ruor-26283</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xbomppfcq5ddlchlaj2tvqwrmu">fatcat:xbomppfcq5ddlchlaj2tvqwrmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210502054841/https://ruor.uottawa.ca/bitstream/10393/42061/1/Abbaszadeh_Behrooz_2021_thesis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/19/ea1979303ca1e150247397a1e3bdc200573100d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20381/ruor-26283"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Blockchain Service Network - a Digital Extension of the Belt and Road Initiative

Nenad Tomić
<span title="">2021</span> <i title="Singidunum University"> Proceedings of the International Scientific Conference - Sinteza 2021 </i> &nbsp; <span class="release-stage">unpublished</span>
ACKNOWLEDGEMENTS The authors acknowledge support from the Ministry of Education, Science and Technological Development of the Republic of Serbia.  ...  ACKNOWLEDGEMENTS This research is financed by the Ministry of Education, Science and Technological Development of the Republic of Serbia.  ...  Hurst exponent (H) is used to describe the selfsimilarity of fractal properties, i.e., time series of pollutants in the presented analysis [12] , [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15308/sinteza-2021-207-213">doi:10.15308/sinteza-2021-207-213</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wz426avhbjb75eqcvq5jy53xum">fatcat:wz426avhbjb75eqcvq5jy53xum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716094810/http://portal.sinteza.singidunum.ac.rs/Media/files/2021/Sinteza-2021.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15308/sinteza-2021-207-213"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>