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Generating Synthetic ECGs Using GANs for Anonymizing Healthcare Data

Esteban Piacentino, Alvaro Guarner, Cecilio Angulo
2021 Electronics  
Hence, a novel research pathway on health data anonymization using GANs is opened and further straightforward developments are expected.  ...  This paper describes an approach for the generation of synthetic electrocardiograms (ECGs) based on Generative Adversarial Networks (GANs) with the objective of anonymizing users' information for privacy  ...  As a first result, in this work a novel five steps procedure is defined for GANbased anonymization of general data.  ... 
doi:10.3390/electronics10040389 fatcat:s5h6pxqksrbkhlaldm75enfd6u

Special Issue on Intelligent Systems in Sensor Networks and Internet of Things

Chang Choi, Gianni D'Angelo, Francesco Palmieri
2020 Sensors  
This Special Issue aims at collecting several original state-of-the-art research experiences in the area of intelligent applications in the IoT and Sensor networks environment, by analyzing several open  ...  issues and perspectives associated with such scenarios, in order to explore novel potentialities and solutions and face with the emerging challenges.  ...  Acknowledgments: We would like to express our sincere appreciation of the valuable contributions made by all the authors and our deep gratitude to all the highly qualified anonymous reviewers who have  ... 
doi:10.3390/s20113182 pmid:32503316 fatcat:rrpdpnyzfrcg3dcanxf34kfpb4

Mathematically Optimized, Recursive Prepartitioning Strategies for k-Anonymous Microaggregation of Large-Scale Datasets

Esteve Pallarès, David Rebollo-Monedero, Ana Rodríguez-Hoyos, José Estrada-Jiménez, Ahmad Mohamad Mezher, Jordi Forné
2019 Expert systems with applications  
in data utility with respect to that of MDAV, the underlying method.  ...  Our method is readily applicable to large-scale datasets with numerical demographic attributes.  ...  We would also like to thank the anonymous reviewers for their helpful suggestions to improve the readability and contents of this paper.  ... 
doi:10.1016/j.eswa.2019.113086 fatcat:75x6klmisveu5ehsqfs5hlsisy

Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals : Web-Based Survey

Kai Oliver Maaßen, Sebastian Fritsch, Julia Palm, Saskia Deffge, Julian Kunze, Gernot Marx, Morris Riedel, Andreas Schuppert, Johannes Bickenbach
2021 Journal of medical internet research : JMIR 23(3)  
Moreover, physicians' requirements and expectations of AI in medicine and their opinion on the usage of anonymized patient data for clinical and biomedical research have not been investigated widely in  ...  Objective: This study aimed to evaluate physicians' requirements and expectations of AI in medicine and their opinion on the secondary usage of patient data for (bio)medical research (eg, for the development  ...  Acknowledgments This publication of the SMITH consortium was supported by the German Federal Ministry of Education and Research, grant numbers 01ZZ1803B, 01ZZ1803C, and 01ZZ1803M.  ... 
doi:10.18154/rwth-2022-01353 fatcat:xjfwpocjt5cm7hyuaim6bd4d7y

Use of Geospatial Mapping to Determine Suitable Locations for Patient Service Centers for Phlebotomy Services

Leland Baskin, Amid Abdullah, Maggie Guo, Christopher Naugler
2015 American Journal of Clinical Pathology  
Using the city of Calgary, Alberta, Canada, as a test case, our objective is to present a novel method for determining underserviced geographic areas within a city to guide the choice of potential new  ...  Methods: Data on travel distances for 198,883 phlebotomy visits as well as population data from the 2011 Canada Census were used for this study.  ...  We have previously presented examples of the application of this method to laboratory test utilization.  ... 
doi:10.1309/ajcp4j1xkdvjiugs pmid:26486736 fatcat:e6aravmgqvcyxgqu2rnjplup6q

Authentication schemes for Smart Mobile Devices: Threat Models, Countermeasures, and Open Research Issues [article]

Mohamed Amine Ferrag, Leandros Maglaras, Abdelouahid Derhab, Helge Janicke
2019 arXiv   pre-print
This paper presents a comprehensive investigation of authentication schemes for smart mobile devices.  ...  In addition, we provide a taxonomy and comparison of authentication schemes for smart mobile devices in the form of tables. Finally, we identify open challenges and future research directions.  ...  Data mining based IDSs have demonstrated higher accuracy, to novel types of intrusion and robust behaviour [102] . F.  ... 
arXiv:1803.10281v2 fatcat:yjkohnh3qje3zk2yzp5xoakzfi

IEEE Access Special Section Editorial: Artificial Intelligence in Cybersecurity

Chi-Yuan Chen, Wei Quan, Nan Cheng, Shui Yu, Jong-Hyouk Lee, Gregorio Martínez Pérez, Hongke Zhang, Shiuhpyng Shieh
2020 IEEE Access  
The article ''A machine learning framework for biometric authentication using electrocardiogram,'' by Kim et al., introduces a framework for electrocardiogram-based biometric authentication in order to  ...  The article ''Sina weibo bursty event detection method,'' by Yang et al., proposes a bursty event detection method for quantifying the influence of microblog text.  ... 
doi:10.1109/access.2020.3021604 dblp:journals/access/ChenQCYLPZS20 fatcat:mjvkkgt3wjfo3ditb4eibdc3s4

LivDet 2015 fingerprint liveness detection competition 2015

Valerio Mura, Luca Ghiani, Gian Luca Marcialis, Fabio Roli, David A. Yambay, Stephanie A. Schuckers
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
The number of competitors grows at every LivDet edition demonstrating a growing interest in the area.  ...  Liveness detection is based on the principle that additional information can be garnered above and beyond the data procured by a standard authentication system, and this additional data can be used to  ...  (a silicone rubber) and a novel form of Gelatin for Crossmatch dataset.  ... 
doi:10.1109/btas.2015.7358776 dblp:conf/btas/MuraGMRYS15 fatcat:xrt4lincbjgfvo633cl5bgm3em

Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks [article]

Zachary C. Lipton, David C. Kale, Randall C. Wetzel
2017 arXiv   pre-print
We present a novel application of LSTM recurrent neural networks to multilabel classification of diagnoses given variable-length time series of clinical measurements.  ...  Our method outperforms a strong baseline on a variety of metrics.  ...  We acknowledge NVIDIA Corporation for Tesla K40 GPU hardware donation and Professors Charles Elkan and Julian McAuley for their support.  ... 
arXiv:1510.07641v2 fatcat:x75xdqvuunfpdiekul3ibujioi

Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud

Kyu Hee Lee, Erdenebayar Urtnasan, Sangwon Hwang, Hee Young Lee, Jung Hun Lee, Sang Baek Koh, Hyun Youk
2022 Yonsei medical journal  
We integrated and loaded lifelog big data and clinical data for 3 years. In the first year, we uploaded 94 types of data on the platform with a total capacity of 221 GB.  ...  The proposed standardization guidelines can be used for future platforms to achieve a virtuous cycle structure of lifelogging big data and an industrial ecosystem.  ...  Approval of final manuscript: all authors. ORCID iDs  ... 
doi:10.3349/ymj.2022.63.s84 pmid:35040609 pmcid:PMC8790588 fatcat:ncjla6bbcrgdnjqo27l7hg6iv4

Interpretation of clinical data and hypothesis testing with the aid of self-collected data from physiology laboratory courses: a teaching approach for medical students

Erik Konrad Grasser, Jean-Pierre Montani
2019 Advances in Physiology Education  
Cathriona Monnard for improving the English language of our manuscript.  ...  However, due to the anonymization of data entry, no consequences arose for those not entering data. Building and testing a refutable hypothesis.  ...  All of these data, which are collected in our standard curriculum and used for illustrating physiological concepts, can thus be used for the establishment of a large, anonymous clinical database to which  ... 
doi:10.1152/advan.00110.2019 pmid:31697168 fatcat:ddymobqpyndtnpkmuasnfsoqiu

A novel authentication scheme of identity based group signature algorithm for wireless body sensor network (WBSN)

C. Ramesh Kumar, T. Ganesh Kumar, A. Hemlathadhevi
2022 International Journal of Health Sciences  
In this paper, a novel authentication using identity-based group signature (IBGS) protocol has been proposed to provide security to the WBSN.  ...  The proposed method employs identity-based group signature algorithm between biosensors and group manager (GM).  ...  Acknowledgments We are grateful to two anonymous reviewers for their valuable comments on the earlier version of this paper.  ... 
doi:10.53730/ijhs.v6ns1.5512 fatcat:spfwybzdv5elpbbqbvx5uaogym

147 Training Forgiveness. A Novel Approach to Reducing Physician Burnout

Lidia Firulescu, Ross W. May, Frank D. Fincham, Emelina A. Arocha, Marcos A. Sanchez-Gonzalez
2020 CNS Spectrums  
These data suggest that TF could be a potential resolution to the deleterious influence of burnout.  ...  Anxiety and TF were the only significant predictors (p= >0.05) accounting for 10.4% and 17.5% of the variance in WB scores, respectively.Conclusions:The novel finding of the present study is that TF was  ...  METHOD: A total of 62 (F=23) medical residents at a Teaching Hospital consented for the study.  ... 
doi:10.1017/s1092852920000632 pmid:32331072 fatcat:t7tftk3j5ffyvjhvkhyfo6y5xy

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing — Part II: Emerging Technologies and Open Issues

Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Ngoc-Tan Nguyen, Tran Viet Khoa, Bui Minh Tuan, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas, Bjorn Ottersten
2020 IEEE Access  
, intelligent transportation systems) should incorporate a pandemic mode in their standard architectures/designs.  ...  In Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed.  ...  In addition to the anonymization and obfuscating methods, randomization and perturbation are the methods that can In (a) location information protection, the exact location of a vehicle can be obfuscated  ... 
doi:10.1109/access.2020.3018124 pmid:34812350 pmcid:PMC8545305 fatcat:hsqnnc7aifg7hgn7nyphrvxcwq

Measuring Complexity of Biomedical Signals

Gastón Schlotthauer, Anne Humeau-Heurtier, Javier Escudero, Hugo L. Rufiner
2018 Complexity  
Acknowledgments The guest editorial team would like to thank all the authors for their interest in selecting this special issue and for their valuable contributions.  ...  The editors would also like to thank all the anonymous reviewers who have contributed to improve the papers. Gastón Schlotthauer Anne Humeau-Heurtier Javier Escudero Hugo L. Rufiner  ...  and applications of novel complexity estimators for multivariate, multiscale, or multimodal data [9, 10] .  ... 
doi:10.1155/2018/5408254 fatcat:jjqz2fphcrgzlme2u3ild2laxa
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