Shivaram Poigai Arunachalam
Orcid: 0000-0003-3251-5415
According to our database1,
Shivaram Poigai Arunachalam
authored at least 27 papers
between 2012 and 2024.
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Bibliography
2024
Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation.
IEEE Trans. Biomed. Eng., January, 2024
2023
Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems.
Sensors, February, 2023
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.
Sensors, 2023
Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives.
Sensors, 2023
Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
2022
Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity.
Sensors, 2022
J. Imaging, 2022
Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Discriminating Normal Phonocardiogram From Artifact Using a Multiscale Entropy Technique.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019
2018
Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping.
IEEE Trans. Biomed. Eng., 2018
Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition discriminates Normal Sinus Rhythm and Atrial Fibrillation on a Single Lead ECG.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Single Lead ECG Discrimination Between Normal Sinus Rhythm and Sleep Apnea with Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
2017
Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS).
Proceedings of the IEEE International Conference on Electro Information Technology, 2017
Identifying factors influencing patient alone time at the emergency department using RFID data: What is next?
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Linking Patient Alone Time and Provider Time to Staffing Levels and LOS at the Emergency Department: A RFID Based Study.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Feasibility of visualizing higher regions of Shannon entropy in atrial fibrillation patients.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2012
Calibration and evaluation of a magnetically tracked ICE probe for guidance of left atrial ablation therapy.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012