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Dr. Avvaru Srinivasulu
Dr. Avvaru Srinivasulu
Assistant Professor, EIE department, VNR Vignana Jyothi Institute of Engineering &Technology, Hyd
Verified email at vnrvjiet.in - Homepage
Title
Cited by
Cited by
Year
Face detection system on AdaBoost algorithm using Haar classifiers
MG Krishna, A Srinivasulu
International Journal of Modern Engineering Research 2 (5), 3556-3560, 2012
682012
A Low-Cost, low-power flexible single-lead ECG textile sensor for continuous monitoring of Cardiac Signals
N Sriraam, A Srinivasulu, VS Prakash
IEEE Sensors Journal 23 (17), 20189-20198, 2023
132023
A smart textile electrode belt for ECG recordings-a pilot study with indian population
N Sriraam, A Srinivasulu, VS Prakash, S Sahoo
2019 2nd International Conference on Signal Processing and Communication …, 2019
112019
An Engineering Perspective of External Cardiac Loop Recorder: A Systematic Review
ASN Sriraam
Journal of Medical Engineering 2016 (Article ID 6931347), 1-16, 2016
10*2016
Wearable Ag-NyW textile electrode for continuous ECG monitoring
S Avvaru, N Sriraam, VS Prakash, S Sahoo
Research on Biomedical Engineering 37 (2), 231-247, 2021
82021
Apnea event detection using machine learning technique for the clinical diagnosis of sleep apnea syndrome
A Srinivasulu, S Mohan, T Harika, P Srujana, Y Revathi
2021 3rd international conference on signal processing and communication …, 2021
82021
Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes
N Sriraam, A Srinivasulu
Multimedia Tools and Applications 83 (24), 65149-65188, 2024
62024
Study and investigation of continuous cardiac monitoring using vernier EKG with myRIO processor
U Arun, N Sriraam, S Avvaru
2016 International Conference on Circuits, Controls, Communications and …, 2016
52016
A signal processing framework for the detection of abnormal cardiac episodes
A Srinivasulu, N Sriraam, VS Prakash
Cardiovascular Engineering and Technology 14 (2), 331-349, 2023
32023
Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiograms
A Srinivasulu, N Sriraam
Physical and Engineering Sciences in Medicine 45 (3), 817-833, 2022
32022
Measurement and wireless data transmission of heart rate using pulse sensor
A Srinivasulu
Indian Journal of Mednodent and Allied Sciences 4 (3), 126-131, 2016
32016
Digital very-large-scale integration (VLSI) Hopfield neural network implementation on field programmable gate arrays (FPGA) for solving constraint satisfaction problems
A Srinivasulu
Journal of Engineering and Technology Research 4 (1), 11-21, 2012
32012
Ventricular ectopic beat classification using KNN multi-feature classifier
A Srinivasulu, N Sriraam
2018 International Conference on Communication, Computing and Internet of …, 2018
22018
Noise Removal from ECG signal using FIR filter with different Window Techniques
G Sudheer, GSD Prasad, EN Kumar, A Srinivasulu
5th International Conference on Emerging Trends in Engineering Technology …, 2017
22017
Optimization of memory based LUT Multiplier
A Srinivasalu, GR Reddy
Research and Development (IJECIERD) 3 (4), 125-132, 2013
22013
1 Bit Full Adder Cell for Reducing Low Leakage Current in Nano Meter Technology
S Madhuri, S A, MA C
International Journal of Engineering Research and Development 2 (4), 11 - 18, 2012
22012
Signal processing framework for the detection of ventricular ectopic beat episodes
A Srinivasulu, N Sriraam
Journal of Medical Signals & Sensors 13 (3), 239-251, 2023
12023
Wireless CardioS framework for continuous ECG acquisition
N Sriraam, A Srinivasulu, VS Prakash
Journal of Medical Engineering & Technology 47 (4), 201-216, 2023
12023
A new method for optic disc detection in fluorescein angiography images
A Srinivasulu, CR Rajeswari, L Devi
International Journal Of Applied Science, Technology and Engineering …, 2012
12012
Realtime Evaluation of Cardiac Activities Using Multi Features with KNN Classifier-A Pilot Study
U Arun, N Sriraam, A Srinivasulu
Journal of Physics: Conference Series 2571 (1), 012014, 2023
2023
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