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Naresh Vemishetty Thesis Submitted Department of Electrical Engineering, |
Contact Information Address: Department of Electrical Engineering , Indian Institute of Technology (IIT), Hyderabad , Ordnance Factory Estate, Medak, Yeddumailaram - 502205 (Andhra Pradesh),INDIA. Email: ee14resch01003 [at] iith.ac.in For CV: Please click here
DA---> Data Acquisition BD---> Boundary Detection FE---> Feature Extraction Publications Journals 1. Vemishetty, N., Patra, P., Jha, P. K., Chivukula, K. B., Vala, C. K., Jagirdar, A., Acharyya & Dutta, A. (2016). Low power personalized ECG based system design methodology for remote cardiac health monitoring. IEEE Access, 4, 8407-8417.2. Vemishetty, N., Jain, A., Amber, A., Maheshwari, S., Jagirdar, A., & Acharyya, A. (2015). A Robust Reliable and Low Complexity on Chip f-QRS Detection and Identification Architecture for Remote Personalized Health Care Applications. Journal of Low Power Electronics, 11(3), 387-400. International Conferences 1. N. Vemishetty et al., "An on-chip robust Real-time Automated Non-invasive Cardiac Remote Health Monitoring Methodology," Computing in Cardiology 2014, Cambridge, MA, 2014, pp. 249-252.2. N. Vemishetty, A. Jain, A. Amber and A. Acharyya, "A Low Complexity Architecture for Online On-chip Detection and Identification of f-QRS Feature for Remote Personalized Health Care Applications,", Fifth International Symposium on Electronic System Design (ISED), Surathkal, 2014, pp. 120-124. 3. N. Vemishetty, P. Jadhav, B. Adapa, A. Acharyya, R. Pachamuthu and G. R. Naik, "Affordable low complexity heart/brain monitoring methodology for remote health care," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 5082-5085. 4. N. Vemishetty, A. Acharyya, Saptarshi Das, Koushik Maharatna and Paolo Emilio Puddu; Classification Methodology of CVD with Localized Features Analysis Using Phase Space Reconstruction Targeting Personalized Remote Health Monitoring" Computing in Cardiology Conference (CINC), September 11-14, 2016, Vancouver, Canada. 5. U. Panda, S. Maheshwari, G. Padma, T. Murugaiyan, A. Jagirdar, V. Chaudary, N. Vemishetty, A. Acharyya, P. E. Puddu and M. Schiariti, (2014), "Personalised System-on-chip for Standard 12-lead Reconstruction from the Reduced 3-Lead System Targeting Remote Healthcare", 41st Annual International Scientific Conference on Computing in Cardiology (CinC 2014), Cambridge, MA, 2014, pp. 1081-1084. 6. Wiles BM, Wilson DG, Roberts PR, Allavatam V, A. Acharyya, Vemishetty N, Gunukula R, Morgan JM, "Assessing the accuracy of surface ECG as a surrogate for the sensing vectors of the subcutaneous ICD", European Heart Rhythm Association (EHRA) EuroPace Cardiostim 2017, European Society of Cardiology, 18-21 June, 2017, Vienna, Austria. 7. Wiles BM, Wilson DG, Roberts PR, Allavatam V, A. Acharyya, Vemishetty N, Gunukula R, Morgan JM, "Understanding the triangular relationship between subcutaneous ICD sensing vectors: can we accurately generate the secondary vector using just trigonometry?", European Heart Rhythm Association (EHRA) EuroPace Cardiostim 2017, European Society of Cardiology, 18-21 June, 2017, Vienna, Austria. 8. Krishna Bharadwaj Chivukula, Naresh Vemishetty, Agathya Jagirdar and A. Acharyya, "A Low-complexity Onchip Real-time automated ECG Frame Identification Methodology targeting Remote heath care", 5th IEEE International Symposium on Electronic System Design (ISED 2014), Karnataka, India, 15-17 December, 2014. Book chapter 1. “Extraction of ECG Significant Features for remote CVD Monitoring” (book-chapter) by Naresh V and Amit Acharyya in the book entitled “Biomedical Signal Processing - Advances in Theory, Algorithms and applications”, Springer. (accepted).
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