|Low power personalized ECG based system design methodology for remote cardiac health monitoring|
N Vemishetty, P Patra, PK Jha, KB Chivukula, CK Vala, A Jagirdar, ...
IEEE Access 4, 8407-8417, 2016
|A Low-Complexity Onchip Real-Time Automated ECG Frame Identification Methodology Targeting Remote Health Care|
KB Chivukula, N Vemishetty, A Jagirdar, A Acharyya
2014 Fifth International Symposium on Electronic System Design, 125-129, 2014
|CORDIC based Universal Modulator|
LP Kalra, N Vemishetty, B Venkatramani
2014 Recent Advances in Engineering and Computational Sciences (RAECS), 1-5, 2014
|Affordable low complexity heart/brain monitoring methodology for remote health care|
N Vemishetty, P Jadhav, B Adapa, A Acharyya, R Pachamuthu, GR Naik
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
|A Robust Reliable and Low Complexity on chip f-QRS Detection and Identification Architecture for Remote Personalized Health Care Applications|
N Vemishetty, A Jain, A Amber, S Maheshwari, A Jagirdar, A Acharyya
Journal of Low Power Electronics 11 (3), 387-400, 2015
|A low complexity architecture for online on-chip detection and identification of f-QRS feature for remote personalized health care applications|
N Vemishetty, A Jain, A Amber, A Acharyya
2014 Fifth International Symposium on Electronic System Design, 120-124, 2014
|An On-Chip Robust Real-Time Automated Non-Invasive Cardiac Remote Health Monitoring Methodology|
N Vemishetty, KB Chivukula, S Tiwari, PRSK Malyala, B Joseph, ...
Computing in Cardiology 2014, 249-252, 2014
|Classification methodology of CVD with localized feature analysis using Phase Space Reconstruction targeting personalized remote health monitoring|
N Vemishetty, A Acharyya, S Das, S Ayyagari, S Jana, K Maharatna, ...
2016 Computing in Cardiology Conference (CinC), 437-440, 2016
|Phase Space Reconstruction Based CVD Classifier Using Localized Features|
N Vemishetty, RL Gunukula, A Acharyya, PE Puddu, S Das, K Maharatna
Scientific reports 9 (1), 1-18, 2019
|A Novel 2-Lead to 12 Lead ECG Reconstruction Methodology for Remote Health Monitoring Applications|
N Vemishetty, V Gundlapalle, A Acharyya, B Chakravarti
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
|The future of S-ICD sensing:‘improve’significantly increases R: T ratio and generates universal device eligibility without impairing vf detection|
B Wiles, PR Roberts, V Allavatam, K Maharatna, A Acharyya, H Chen, ...
Europace 20 (Supplement 4), 2018
|P911 Universal S-ICD eligibility: eliminating the need for pre-implant screening using mathematical vector rotation and a gradient filter|
BM Wiles, PR Roberts, A Acharyya, V Allavatam, DG Wilson, ...
EP Europace 20 (suppl_1), i175-i176, 2018
|3 The end of pre-implant subcutaneous ICD screening? Using mathematical vector rotation to generate a personalised sensing vector resulting in universal device eligibility|
BM Wiles, PR Roberts, A Acharyya, N Vemishetty, JM Morgan
Ep Europace 19 (suppl_1), i2-i2, 2017
|P407 Assessing the accuracy of surface ECG as a surrogate for the sensing vectors of the subcutaneous ICD|
BM Wiles, DG Wilson, PR Roberts, V Allavatam, A Acharyya, ...
EP Europace 19 (suppl_3), iii83-iii83, 2017
|Personalised system-on-chip and mobile-app for standard 12-lead reconstruction from the reduced 3-lead system targeting remote health care|
U Panda, S Maheshwari, G Padma, M Thendral, A Jagirdhar, V Chowdary, ...
Computing in Cardiology 2014, 1081-1084, 2014
|2014 Fifth International Symposium on Electronic System Design (ISED)|
SR Chatterjee, S Majumder, B Pramanik, M Chakraborty