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Geetika Srivastava
Geetika Srivastava
Associate Professor, RMLAU Ayodhya, Associate ICTP Italy, OWSD
Verified email at rmlau.ac.in
Title
Cited by
Cited by
Year
Diagnosis of insomnia sleep disorder using short time frequency analysis of PSD approach applied on EEG signal using channel ROC-LOC
MM Siddiqui, G Srivastava, SH Saeed
Sleep Science 9 (3), 186-191, 2016
472016
Detection of rapid eye movement behaviour disorder using short time frequency analysis of PSD approach applied on EEG signal (ROC-LOC)
MM Siddiqui, G Srivastava, SH Saeed
Biomedical Research 26 (3), 587-593, 2015
312015
Performance analysis of conventional machine learning algorithms for diabetic sensorimotor polyneuropathy severity classification
F Haque, M Bin Ibne Reaz, MEH Chowdhury, G Srivastava, ...
Diagnostics 11 (5), 801, 2021
232021
Detection of periodic limb movement with the help of short time frequency analysis of PSD applied on EEG signals
MM Siddiqui, G Srivastava, SH Saeed
Extraction 4 (11), 2015
182015
Machine learning-based diabetic neuropathy and previous foot ulceration patients detection using electromyography and ground reaction forces during gait
F Haque, MBI Reaz, MEH Chowdhury, M Ezeddin, S Kiranyaz, M Alhatou, ...
Sensors 22 (9), 3507, 2022
162022
Machine learning-based epileptic seizure detection methods using wavelet and EMD-based decomposition techniques: A review
RG Thangarajoo, MBI Reaz, G Srivastava, F Haque, SHM Ali, AAA Bakar, ...
Sensors 21 (24), 8485, 2021
162021
Comparison of QRS detection algorithms
S Saraswat, G Srivastava, S Shukla
International Conference on Computing, Communication & Automation, 354-359, 2015
152015
Arrhythmia classification using deep neural network
SK Mohapatra, G Srivastava, MN Mohanty
2019 International Conference on Applied Machine Learning (ICAML), 296-300, 2019
132019
Diagnosis of Nocturnal Frontal Lobe Epilepsy (NFLE) sleep disorder using short time frequency analysis of PSD approach applied on EEG signal
MM Siddiqui, G Srivastava, SH Saeed
Biomedical and Pharmacology Journal 9 (1), 393-403, 2016
122016
Classification of ECG signals using cross-recurrence quantification analysis and probabilistic neural network classifier for ventricular tachycardia patients
S Saraswat, G Srivastava, S Shukla
International Journal of Biomedical Engineering and Technology 26 (2), 141-156, 2018
112018
Detection of sleep disorder breathing (SDB) using short time frequency analysis of PSD approach applied on EEG signal
MM Siddiqui, G Srivastava, SH Saeed
Biomedical and Pharmacology Journal 9 (1), 357-363, 2016
112016
Diagnosis of narcolepsy sleep disorder for different stages of sleep using Short Time Frequency analysis of PSD approach applied on EEG signal
MM Siddiqui, G Srivastava, SH Saeed
2016 International Conference on Computational Techniques in Information and …, 2016
112016
ECG signal decomposition using PCA and ICA
M Kanaujia, G Srivastava
2015 National Conference on Recent Advances in Electronics & Computer …, 2015
102015
NPN Sziklai pair small-signal amplifier for high gain low noise submicron voltage recorder
SN Shukla, SS Arshad, G Srivastava
International Journal of Power Electronics and Drive System 13 (1), 11-22, 2022
92022
Fuzzy entropy based seizure detection algorithms for eeg data analysis
G Srivastava, A Tripathi, PK Maurya
Smart Healthcare for Disease Diagnosis and Prevention, 89-101, 2020
82020
Wavelet transform based feature extraction and classification of atrial fibrillation arrhythmia
S Saraswat, G Srivastava, SN Shukla
Biomedical and Pharmacology Journal 10 (4), 1715-1725, 2017
82017
Darlington pair based Small-Signal amplifier under triple transistor topology
SS Arshad, SN Shukla, AK Sharma, G Srivastava
Journal of International Academy of Physical Sciences 26 (4), 427-442, 2022
72022
Small signal amplifier with p-type sziklai pair
SN Shukla, SS Arshad, P Soni, G Srivastava
Journal of International Academy of Physical Sciences 24 (3), 333-346, 2020
72020
Current Conveyor: A Novel Active Building Block Prevailing Op-Amp Limitations
KK Singh, G Srivastava, RS Mishra, D Tiwari
International Journal of Innovative Technology and Exploring Engineering …, 2013
62013
Evaluating performance of machine learning models for diabetic sensorimotor polyneuropathy severity classification using biomechanical signals during gait
F Haque, MBI Reaz, MEH Chowdhury, S Kiranyaz, M Abdelmoniem, ...
arXiv preprint arXiv:2205.10581, 2022
52022
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