Journal articles on the topic 'Classification of biomedical time series'
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Ramanujam, E., and S. Padmavathi. "Genetic time series motif discovery for time series classification." International Journal of Biomedical Engineering and Technology 31, no. 1 (2019): 47. http://dx.doi.org/10.1504/ijbet.2019.101051.
Full textJin, Lin-peng, and Jun Dong. "Ensemble Deep Learning for Biomedical Time Series Classification." Computational Intelligence and Neuroscience 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/6212684.
Full textIvaturi, Praharsh, Matteo Gadaleta, Amitabh C. Pandey, Michael Pazzani, Steven R. Steinhubl, and Giorgio Quer. "A Comprehensive Explanation Framework for Biomedical Time Series Classification." IEEE Journal of Biomedical and Health Informatics 25, no. 7 (July 2021): 2398–408. http://dx.doi.org/10.1109/jbhi.2021.3060997.
Full textWang, Jin, Ping Liu, Mary F. H. She, Saeid Nahavandi, and Abbas Kouzani. "Bag-of-words representation for biomedical time series classification." Biomedical Signal Processing and Control 8, no. 6 (November 2013): 634–44. http://dx.doi.org/10.1016/j.bspc.2013.06.004.
Full textKu-Maldonado, Carlos Alejandro, and Erik Molino-Minero-Re. "Performance Evaluation of Biomedical Time Series Transformation Methods for Classification Tasks." Revista Mexicana de Ingeniería Biomédica 44, no. 4 (August 17, 2023): 105–16. http://dx.doi.org/10.17488/rmib.44.4.7.
Full textGupta, R., A. Mittal, K. Singh, V. Narang, and S. Roy. "Time-series approach to protein classification problem." IEEE Engineering in Medicine and Biology Magazine 28, no. 4 (July 2009): 32–37. http://dx.doi.org/10.1109/memb.2009.932903.
Full textWang, Will Ke, Ina Chen, Leeor Hershkovich, Jiamu Yang, Ayush Shetty, Geetika Singh, Yihang Jiang, et al. "A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications." Sensors 22, no. 20 (October 20, 2022): 8016. http://dx.doi.org/10.3390/s22208016.
Full textLemus, Mariano, João P. Beirão, Nikola Paunković, Alexandra M. Carvalho, and Paulo Mateus. "Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data." Entropy 22, no. 1 (December 30, 2019): 49. http://dx.doi.org/10.3390/e22010049.
Full textAthavale, Yashodhan, Sridhar Krishnan, and Aziz Guergachi. "Pattern Classification of Signals Using Fisher Kernels." Mathematical Problems in Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/467175.
Full textCarreiro, André V., Orlando Anunciação, João A. Carriço, and Sara C. Madeira. "Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series." Journal of Integrative Bioinformatics 8, no. 3 (December 1, 2011): 73–89. http://dx.doi.org/10.1515/jib-2011-175.
Full textPiepjohn, Patricia, Christin Bald, Gregor Kuhlenbäumer, Jos Steffen Becktepe, Günther Deuschl, and Gerhard Schmidt. "Real-time classification of movement patterns of tremor patients." Biomedical Engineering / Biomedizinische Technik 67, no. 2 (February 24, 2022): 119–30. http://dx.doi.org/10.1515/bmt-2021-0140.
Full textFulcher, Ben D., Max A. Little, and Nick S. Jones. "Highly comparative time-series analysis: the empirical structure of time series and their methods." Journal of The Royal Society Interface 10, no. 83 (June 6, 2013): 20130048. http://dx.doi.org/10.1098/rsif.2013.0048.
Full textGamidullaeva, Leyla Ayvarovna, and Vsevolod Chernyshenko. "Using Decision-Making Block of Computer-Based Intelligent Biomedical Avatar for Applied Research in Bioinformatics." International Journal of Applied Research in Bioinformatics 9, no. 2 (July 2019): 24–34. http://dx.doi.org/10.4018/ijarb.2019070102.
Full textAlarcón, Ángel Serrano, Natividad Martínez Madrid, Ralf Seepold, and Juan Antonio Ortega Ramirez. "Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments." Procedia Computer Science 207 (2022): 3038–46. http://dx.doi.org/10.1016/j.procs.2022.09.532.
Full textCarreiro, André V., Artur J. Ferreira, Mário A. T. Figueiredo, and Sara C. Madeira. "Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series." Journal of Integrative Bioinformatics 9, no. 3 (December 1, 2012): 105–20. http://dx.doi.org/10.1515/jib-2012-207.
Full textZhang, Yinghui, Fengyuan Zhang, Yantong Cui, and Ruoci Ning. "CLASSIFICATION OF BIOMEDICAL IMAGES USING CONTENT BASED IMAGE RETRIEVAL SYSTEMS." International Journal of Engineering Technologies and Management Research 5, no. 2 (February 8, 2020): 181–89. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.161.
Full textLipponen, Jukka A., and Mika P. Tarvainen. "A robust algorithm for heart rate variability time series artefact correction using novel beat classification." Journal of Medical Engineering & Technology 43, no. 3 (April 3, 2019): 173–81. http://dx.doi.org/10.1080/03091902.2019.1640306.
Full textJackson, Rhydon, Debra Knisley, Cecilia McIntosh, and Phillip Pfeiffer. "Predicting Flavonoid UGT Regioselectivity." Advances in Bioinformatics 2011 (June 30, 2011): 1–15. http://dx.doi.org/10.1155/2011/506583.
Full textJO, YONG-UN, and DO-CHANG OH. "REAL-TIME HAND GESTURE CLASSIFICATION USING CRNN WITH SCALE AVERAGE WAVELET TRANSFORM." Journal of Mechanics in Medicine and Biology 20, no. 10 (December 2020): 2040028. http://dx.doi.org/10.1142/s021951942040028x.
Full textGao, Yongxiang, Zhi Zhao, Yimin Chen, Gehendra Mahara, Jialing Huang, Zhuochen Lin, and Jinxin Zhang. "Automatic epileptic seizure classification in multichannel EEG time series with linear discriminant analysis." Technology and Health Care 28, no. 1 (January 13, 2020): 23–33. http://dx.doi.org/10.3233/thc-181548.
Full textChambon, Stanislas, Mathieu N. Galtier, Pierrick J. Arnal, Gilles Wainrib, and Alexandre Gramfort. "A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series." IEEE Transactions on Neural Systems and Rehabilitation Engineering 26, no. 4 (April 2018): 758–69. http://dx.doi.org/10.1109/tnsre.2018.2813138.
Full textArami, Arash, Antonios Poulakakis-Daktylidis, Yen F. Tai, and Etienne Burdet. "Prediction of Gait Freezing in Parkinsonian Patients: A Binary Classification Augmented With Time Series Prediction." IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, no. 9 (September 2019): 1909–19. http://dx.doi.org/10.1109/tnsre.2019.2933626.
Full textDursun, Gizem, Dunja Bijelić, Neşe Ayşit, Burcu Kurt Vatandaşlar, Lidija Radenović, Abdulkerim Çapar, Bilal Ersen Kerman, Pavle R. Andjus, Andrej Korenić, and Ufuk Özkaya. "Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging." PLOS ONE 18, no. 2 (February 6, 2023): e0281236. http://dx.doi.org/10.1371/journal.pone.0281236.
Full textLiu, Chenxi, Israel Cohen, Rotem Vishinkin, and Hossam Haick. "Nanomaterial-Based Sensor Array Signal Processing and Tuberculosis Classification Using Machine Learning." Journal of Low Power Electronics and Applications 13, no. 2 (May 29, 2023): 39. http://dx.doi.org/10.3390/jlpea13020039.
Full textArunachalam, S. P., S. Kapa, S. K. Mulpuru, P. A. Friedman, and E. G. Tolkacheva. "Improved Multiscale Entropy Technique with Nearest-Neighbor Moving-Average Kernel for Nonlinear and Nonstationary Short-Time Biomedical Signal Analysis." Journal of Healthcare Engineering 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/8632436.
Full textTripathy, R. K., and U. Rajendra Acharya. "Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework." Biocybernetics and Biomedical Engineering 38, no. 4 (2018): 890–902. http://dx.doi.org/10.1016/j.bbe.2018.05.005.
Full textCuesta-Frau, David, Juan Pablo Murillo-Escobar, Diana Alexandra Orrego, and Edilson Delgado-Trejos. "Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications." Entropy 21, no. 4 (April 10, 2019): 385. http://dx.doi.org/10.3390/e21040385.
Full textWang, Jialing, Shiwei Cheng, Jieming Tian, and Yuefan Gao. "A 2D CNN-LSTM hybrid algorithm using time series segments of EEG data for motor imagery classification." Biomedical Signal Processing and Control 83 (May 2023): 104627. http://dx.doi.org/10.1016/j.bspc.2023.104627.
Full textBAI, G. MERCY, and P. VENKADESH. "TAYLOR–MONARCH BUTTERFLY OPTIMIZATION-BASED SUPPORT VECTOR MACHINE FOR ACUTE LYMPHOBLASTIC LEUKEMIA CLASSIFICATION WITH BLOOD SMEAR MICROSCOPIC IMAGES." Journal of Mechanics in Medicine and Biology 21, no. 06 (June 21, 2021): 2150041. http://dx.doi.org/10.1142/s021951942150041x.
Full textChang, Yuan-Hsiang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, and Ming-Dar Tsai. "HUMAN INDUCED PLURIPOTENT STEM CELL REGION DETECTION IN BRIGHT-FIELD MICROSCOPY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS." Biomedical Engineering: Applications, Basis and Communications 31, no. 02 (April 2019): 1950009. http://dx.doi.org/10.4015/s1016237219500091.
Full textResta, Michele, Anna Monreale, and Davide Bacciu. "Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals." Entropy 23, no. 8 (August 17, 2021): 1064. http://dx.doi.org/10.3390/e23081064.
Full textDissanayake, W. M. N. D., and Maheshi B. Dissanayake. "A Novel LSTM-based Data Synthesis Approach for Performance Improvement in Detecting Epileptic Seizures." WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 20 (October 10, 2023): 132–39. http://dx.doi.org/10.37394/23208.2023.20.13.
Full textZhu, Mengyun, Ximin Fan, Weijing Liu, Jianying Shen, Wei Chen, Yawei Xu, and Xuejing Yu. "Artificial Intelligence-Based Echocardiographic Left Atrial Volume Measurement with Pulmonary Vein Comparison." Journal of Healthcare Engineering 2021 (December 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/1336762.
Full textSzigeti, Balázs, Ajinkya Deogade, and Barbara Webb. "Searching for motifs in the behaviour of larval Drosophila melanogaster and Caenorhabditis elegans reveals continuity between behavioural states." Journal of The Royal Society Interface 12, no. 113 (December 2015): 20150899. http://dx.doi.org/10.1098/rsif.2015.0899.
Full textChatterjee, Shre Kumar, Saptarshi Das, Koushik Maharatna, Elisa Masi, Luisa Santopolo, Stefano Mancuso, and Andrea Vitaletti. "Exploring strategies for classification of external stimuli using statistical features of the plant electrical response." Journal of The Royal Society Interface 12, no. 104 (March 2015): 20141225. http://dx.doi.org/10.1098/rsif.2014.1225.
Full textUyulan, Caglar, Türker Tekin Ergüzel, and Nevzat Tarhan. "Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification." Biomedical Engineering / Biomedizinische Technik 64, no. 5 (September 25, 2019): 529–42. http://dx.doi.org/10.1515/bmt-2018-0105.
Full textMakhir, Abdelmalek, My Hachem El Yousfi Alaoui, and Larbi Belarbi. "Comprehensive Cardiac Ischemia Classification Using Hybrid CNN-Based Models." International Journal of Online and Biomedical Engineering (iJOE) 20, no. 03 (February 27, 2024): 154–65. http://dx.doi.org/10.3991/ijoe.v20i03.45769.
Full textCuesta-Frau, David, Jakub Schneider, Eduard Bakštein, Pavel Vostatek, Filip Spaniel, and Daniel Novák. "Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study." Entropy 22, no. 11 (November 1, 2020): 1243. http://dx.doi.org/10.3390/e22111243.
Full textKhorasani, Abed, Mohammad Reza Daliri, and Mohammad Pooyan. "Recognition of amyotrophic lateral sclerosis disease using factorial hidden Markov model." Biomedical Engineering / Biomedizinische Technik 61, no. 1 (February 1, 2016): 119–26. http://dx.doi.org/10.1515/bmt-2014-0089.
Full textBALOGLU, ULAS BARAN, and ÖZAL YILDIRIM. "CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION." Journal of Mechanics in Medicine and Biology 19, no. 01 (February 2019): 1940005. http://dx.doi.org/10.1142/s0219519419400050.
Full textBogdanov, M. R., G. R. Shakhmametova, and N. N. Oskin. "Possibility of Using the Attention Mechanism in Multimodal Recognition of Cardiovascular Diseases." Programmnaya Ingeneria 15, no. 11 (November 18, 2024): 578–88. http://dx.doi.org/10.17587/prin.15.578-588.
Full textAmarantidis, Lampros Chrysovalantis, and Daniel Abásolo. "Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy." Entropy 21, no. 9 (August 27, 2019): 840. http://dx.doi.org/10.3390/e21090840.
Full textZhu, Lingxia, Zhiping Xu, and Ting Fang. "Analysis of Cardiac Ultrasound Images of Critically Ill Patients Using Deep Learning." Journal of Healthcare Engineering 2021 (October 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/6050433.
Full textJing, Junyuan, Jing Zhang, Aiping Liu, Min Gao, Ruobing Qian, and Xun Chen. "ECG-Based Multiclass Arrhythmia Classification Using Beat-Level Fusion Network." Journal of Healthcare Engineering 2023 (November 29, 2023): 1–10. http://dx.doi.org/10.1155/2023/1755121.
Full textHeo, Suncheol, Jae Yong Yu, Eun Ae Kang, Hyunah Shin, Kyeongmin Ryu, Chungsoo Kim, Yebin Chegal, et al. "Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach." Healthcare Informatics Research 29, no. 3 (July 31, 2023): 246–55. http://dx.doi.org/10.4258/hir.2023.29.3.246.
Full textNigat, Tsedenya Debebe, Tilahun Melak Sitote, and Berihun Molla Gedefaw. "Fungal Skin Disease Classification Using the Convolutional Neural Network." Journal of Healthcare Engineering 2023 (May 30, 2023): 1–9. http://dx.doi.org/10.1155/2023/6370416.
Full textCuesta-Frau, David, Daniel Novák, Vacláv Burda, Daniel Abasolo, Tricia Adjei, Manuel Varela, Borja Vargas, et al. "Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods." Complexity 2019 (February 14, 2019): 1–10. http://dx.doi.org/10.1155/2019/6070518.
Full textAhammed, Kawser, and Mosabber Uddin Ahmed. "QUANTIFICATION OF MENTAL STRESS USING COMPLEXITY ANALYSIS OF EEG SIGNALS." Biomedical Engineering: Applications, Basis and Communications 32, no. 02 (April 2020): 2050011. http://dx.doi.org/10.4015/s1016237220500118.
Full textAlrowais, Fadwa, Faiz Abdullah Alotaibi, Abdulkhaleq Q. A. Hassan, Radwa Marzouk, Mrim M. Alnfiai, and Ahmed Sayed. "Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images." Biomimetics 8, no. 7 (November 10, 2023): 538. http://dx.doi.org/10.3390/biomimetics8070538.
Full textMaheshwari, Saumil, Aman Agarwal, Anupam Shukla, and Ritu Tiwari. "A comprehensive evaluation for the prediction of mortality in intensive care units with LSTM networks: patients with cardiovascular disease." Biomedical Engineering / Biomedizinische Technik 65, no. 4 (August 27, 2020): 435–46. http://dx.doi.org/10.1515/bmt-2018-0206.
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