• 1.

    M Sharma, H Lodhi, R Yadav, N Sampathila, KS Swathi, UR Acharya, Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals, IEEE Access, [Impact Factor: 3.476]

  • 2.

    M Sharma, H Lodhi, R Yadav, H Elphick, UR Acharya, Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges, Computer Methods and Programs in Biomedicine, 107471, [Impact Factor: 5.428]

  • 3.

    M Sharma, P Makwana, RS Chad, UR Acharya, A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank, Applied Intelligence, 1-19, [Impact Factor: 5.019]

  • 4.

    Bharti Jogi Dakhale, Manish Sharma, Mohammad Arif, Kushagra Asthana, Ankit A Bhurane, Ashwin G Kothari, U Rajendra Acharya, An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels, Medical Engineering & Physics 112, 103956, [Impact Factor: 2.356]

  • 5.

    M Sharma, RK Patel, A Garg, RS Tan, UR Acharya, Automated detection of schizophrenia using deep learning: a review for the last decade, Physiological Measurement, [Impact Factor:2.688]

  • 6.

    M Sharma, K Kumar, P Kumar, RS Tan, UR Acharya, Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends, Physiological Measurement, [Impact Factor: 2.688]

  • 7.

    AA Bhurane, S Dhok, M Sharma, R Yuvaraj, M Murugappan, UR Acharya, Diagnosis of Parkinson's disease from electroencephalography signals using linear and self‐similarity features, Expert Systems 39 (7), e12472, [Impact Factor: 2.812]

  • 8.

    S Murarka, A Wadichar, A Bhurane, M Sharma, UR Acharya, Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network, Computers in Biology and Medicine 146, 105594, [Impact Factor:6.698]

  • 9.

    M Sharma, A Yadav, J Tiwari, M Karabatak, O Yildirim, UR Acharya, An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects, International Journal of Environmental Research and Public Health 19 (12), 7176, [Impact Factor: 3.789]

  • 10.

    M Sharma, D Kumbhani, J Tiwari, TS Kumar, UR Acharya, Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency-optimized orthogonal wavelet filter bank with respiratory and oximetry signals, Computers in Biology and Medicine 144, 105364, [Impact Factor: 6.689]

  • 11.

    M Sharma, J Darji, M Thakrar, UR Acharya, Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals, Computers in Biology and Medicine 143, 105224, [Impact Factor: 6.689]

  • 12.

    JS Rajput, M Sharma, TS Kumar, UR Acharya, Automated detection of hypertension using continuous wavelet transform and a deep neural network with Ballistocardiography signals, International Journal of Environmental Research and Public Health 19 (7), 4014, [Impact Factor: 3.789]

  • 13.

    M Sharma, AA Bhurane, UR Acharya, An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features, Expert Systems, e12939, [Impact Factor: 2.812]

  • 14.

    HW Loh, CP Ooi, SG Dhok, M Sharma, AA Bhurane, UR Acharya, Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network, Applied Intelligence 52 (3), 2903-2917, [Impact Factor: 5.019]

  • 15.

    M Sharma, S Bapodara, J Tiwari, UR Acharya, Automated sleep apnea detection in pregnant women using wavelet-based features, Informatics in Medicine Unlocked 32, 101026, [Impact Factor: 0.794]

  • 16.

    M Sharma, D Kumbhani, A Yadav, UR Acharya, Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals, Applied Intelligence, 1-13, [Impact Factor: 5.019]

  • 17.

    M Sharma, S Patel, UR Acharya, Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud‐based environment, Expert Systems, e12903, [Impact Factor: 2.812]

  • 18..

    M Sharma, V Patel, J Tiwari, UR Acharya, Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals, Diagnostics 11 (8), 1380, [Impact Factor:3.992]

  • 19.

    M Sharma, V Patel, UR Acharya, Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals, Knowledge-Based Systems 224, 107078, [Impact Factor: 8.139]

  • 20.

    D Maheshwari, SK Ghosh, RK Tripathy, M Sharma, UR Acharya, Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals, Computers in Biology and Medicine 134, 104428, [Impact Factor: 6.698]

  • 21.

    M Sharma, J Tiwari, V Patel, UR Acharya, Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals, Electronics 10 (13), 1531, [Impact Factor: 2.412]

  • 22.

    M Sharma, JS Rajput, RS Tan, UR Acharya, Automated detection of hypertension using physiological signals: A review, International Journal of Environmental Research and Public Health 18 (11), 5838, [Impact Factor: 4.614]

  • 23.

    M Sharma, HS Dhiman, UR Acharya, Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals, Computers in Biology and Medicine 131, 104246, [Impact Factor: 6.698]

  • 24.

    M Sharma, J Tiwari, UR Acharya, Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with EEG signals, International journal of environmental research and public health 18 (6), 3087, [Impact Factor: 4.614]

  • 25.

    M Sharma, UR Acharya, Automated detection of schizophrenia using optimal wavelet-based norm features extracted from single-channel EEG, Cognitive Neurodynamics, 1-14, [Impact Factor: 3.473]

  • 26.

    JS Rajput, M Sharma, D Kumbhani, UR Acharya, Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals, Informatics in Medicine Unlocked 26, 100736, [Impact Factor: 0.794]

  • 27.

    M Sharma, J Tiwari, V Patel, UR Acharya, Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals. Electronics 2021, 1, 0, Ann. NY Acad. Sci 1184, 15-54, [Impact factor :6.499]

  • 28.

    JS Rajput, M Sharma, R San Tan, UR Acharya, Automated detection of severity of hypertension ECG signals using an optimal bi-orthogonal wavelet filter bank, Computers in Biology and Medicine 123, 103924, [Impact Factor: 6.698]

  • 29.

    A Upadhyay, M Sharma, R Bilas, A non-parametric approach for multicomponent AM-FM signal analysis, Circuits, Systems, and Signal Processing, [Impact Factor: 2.311]

  • 30.

    M Sharma, S Patel, UR Acharya, Automated detection of abnormal EEG signals using localized wavelet filter banks, Pattern Recognition Letters 133, 188-194, [Impact Factor: 4.757]

  • 31.

    Automated phase classification in cyclic alternating patterns in sleep stages using Wigner–Ville distribution based features S Dhok, V Pimpalkhute, A Chandurkar, AA Bhurane, M Sharma, U R Acharya. Computers in Biology and Medicine 119, 103691, [Impact Factor: 6.698]

  • 32.

    M Sharma, S Patel, S Choudhary, UR Acharya, Automated detection of sleep stages using energy-localized orthogonal wavelet filter banks, Arabian Journal for Science and Engineering 45, 2531-2544, [Impact Factor: 1.518]

  • 33.

    M Sharma, S Singh, A Kumar, R San Tan, UR Acharya, Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features, Computers in biology and medicine 115, 103446, [Impact Factor: 6.698]

  • 34.

    JS Rajput, M Sharma, UR Acharya, Hypertension diagnosis index for discrimination of high-risk hypertension ECG signals using optimal orthogonal wavelet filter bank, International journal of environmental research and public health 16 (21), 4068, [Impact Factor: 3.789]

  • 39.

    M Sharma, RS Tan, UR Acharya, Automated heartbeat classification and detection of arrhythmia using optimal orthogonal wavelet filters, Informatics in Medicine Unlocked 16, 100221, [Impact Factor: 0.794]

  • 35.

    M Sharma, UR Acharya, A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank, Pattern Recognition Letters 125, 235-240, [Impact Factor: 4.757]

  • 36.

    AA Bhurane, M Sharma, R San-Tan, UR Acharya, An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals, Cognitive Systems Research 55, 82-94, [Impact Factor: 4.541]

  • 37.

    M Sharma, RS Tan, UR Acharya, Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters, Neural Computing and Applications, 1-16, [Impact Factor: 5.102]

  • 38.

    M Sharma, S Shah, PV Achuth, A novel approach for epilepsy detection using time–frequency localized bi-orthogonal wavelet filter, Journal of Mechanics in Medicine and Biology 19 (01), 1940007, [Impact Factor: 0.883 ]

  • 40.

    M Sharma, M Raval, UR Acharya, A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals, Informatics in Medicine Unlocked 16, 100170, [Impact Factor: 0.794]

  • 41.

    M Sharma, PV Achuth, D Deb, SD Puthankattil, UR Acharya, An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals, Cognitive Systems Research 52, 508-520, [Impact Factor: 4.451]

  • 42.

    M Sharma, AA Bhurane, UR Acharya, MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection. Knowledge-Based Systems 160, 265-277, [Impact Factor: 8.139]

  • 43.

    M Sharma, UR Acharya, Analysis of knee-joint vibroarthographic signals using bandwidth-duration localized three-channel filter bank, Computers & Electrical Engineering 72, 191-202, [Impact Factor: 4.152]

  • 44.

    M Sharma, R San Tan, UR Acharya, A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank, Computers in biology and medicine 102, 341-356 [Impact Factor: 6.698]

  • 45.

    M Sharma, S Agarwal, UR Acharya, Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals, Computers in biology and medicine 100, 100-113, [Impact Factor: 6.698]

  • 46.

    M Sharma, D Goyal, PV Achuth, UR Acharya, An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank, Computers in biology and medicine 98, 58-75 [Impact Factor: 6.698].

  • 47.

    M Sharma, P Sharma, RB Pachori, UR Acharya, Dual-tree complex wavelet transform-based features for automated alcoholism identification, International Journal of Fuzzy Systems 20, 1297-1308, [Impact Factor: 4.085]

  • 48.

    A Bhattacharyya, M Sharma, RB Pachori, P Sircar, UR Acharya, A novel approach for automated detection of focal EEG signals using empirical wavelet transform, Neural Computing and Applications 29, 47-57 [Impact Factor: 5.102]

  • 49.

    D Bhati, M Sharma, RB Pachori, VM Gadre, Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification, Knowledge-Based Systems 118, 217-227 [Impact Factor: 3.15]

  • 50.

    M. Sharma, P Marathe, A Mane 3G cellular system based on IMT 2000 National level technical paper presentation completion Saurashtra university, Rajkot 2002

  • 51

    M. Sharma On comparison of speech coding algorithm Zonal Workshop on Recent Trends in Mobile Communication 2003

  • 52.

    M. Sharma, P. Patwardhan, and V. Gadre On the Performance of Time-Frequency Localization Optimized Linear Phase Biorthogonal Wavelet Filter Banks in Image Compression National Workshop on Wavelets, Multi resolution and Multi fractal Analyses Earth, Ocean and Atmospheric Sciences Current Trends 2012

  • 53.

    P. Sharma and M. Sharma Monitoring of knee-joint Vibroarthrographic signals using dual-tree complex wavelet transform. Computational mathematics, optimization and Computational intelligence CMOCI,IIT Indore 2017

  • 54.

    M. Sharma, R.B. Pachori, V.M.Gadre A Novel Class Of Time- Frequency Localized Biorthogonal Wavelets Filter Banks For Automated Identification Of Epileptic Seizures. Computational mathematics, optimization and Computational intelligence CMOCI, IIT Indore 2017

  • 55.

    E.Gupta, R.YadevandM.Sharma Hardware Implementation of a Vibrating Sample Magnetometer Circuitry International journal of software and hardware research in engineering ISNN 2347-8890 2014,2

  • 56.

    M.Sharma and P.Mishra Analysis of Enabling Techniques for LTE advanced and beyond International Journal of Future Computer and Communication ISSN: 2010-3751 2012,1-04 334-338

  • 57.

    M.Sharma R. B Pachori A Novel Approach to Detect Epileptic Seizures Using a Combination of Tunable-Q Wavelet Transform and Fractal Dimension Journal of Mechanics in Medicine and Biology, World Scientific [SCI] June 2017, In press Impact Factor : 0.934

  • 58.

    A. Upadhya, M. Sharma and R.B.Pachori Determination of instantaneous fundamental frequency of speech signals using variational mode decomposition Computers and Electrical Engineering, Elsevier[SCI] April 2017, In press Impact Factor : 1.570

  • 59.

    D.Bhati, M. Sharma, S. Nair, R. Pachori and V.M.Gadre Design of Time Frequency Optimal Three-Band Wavelet Filter Banks With Unit Sobolev Regularity Using Frequency Domain Sampling Circuits, Systems, and Signal Processing Springer[SCI] 2016,35, 4501-4531 Impact Factor : 1.694

  • 60.

    M. Sharma, V. Gadre, and S. Porwal An Eigen filter-Based Approach to the Design of Time-Frequency Localization Optimized Two-Channel Linear Phase Biorthogonal Filter Banks Circuits, Systems, and Signal Processing Springer[SCI] 2015,34, 931-959 Impact Factor : 1.694

  • 61.

    M. Sharma, D.Bhati, S. Pillai, R. Pachori and, V.M.Gadre Design of Time-Frequency Localized Filter Banks: Transforming Non-convex Problem into Convex Via Semi definite Relaxation Technique Circuits, Systems, and Signal Processing Springer [SCI] 2016,35, 3716--3733 Impact Factor : 1.694

  • 62.

    M. Sharma, R.B. Pachori, U.R. Acharya A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension Pattern Recognition Letters Elsevier[SCI] 2017,94, 172-179 Impact Factor : 1.995

  • 63.

    D. Bhati, M. Sharma, R.B.Pachori, V.M.Gadre Time-frequency localized three-band biorthogonal wavelet filter bank using semi definite relaxation and nonlinear least squares with epileptic seizure EEG signal classification Digital Signal Processing Elsevier[SCI] 2017,62, 259-273 Impact Factor : 2.337

  • 64.

    A.Bhattachra, M. Sharma, R. B. Pachori, P. Sircar A novel approach for automated detection of focal EEG signals using empirical wavelet transform Neural Computing and Applications Springer [SCI] 2016, 1-11 Impact Factor : 2.505

  • 65.

    M. Sharma, A. Dhere, R. Pachori and V.M.Gadre Optimal duration-bandwidth localized antisymmetric biorthogonal wavelet filters Signal Processing Elsevier [SCI] 2017, 134, 87-99 Impact Factor : 3.110

  • 66.

    M. Sharma, P. Achuth, R. Pachori and V.M.Gadre A parametrization technique to design joint time-frequency Optimized discrete-time biorthogonal wavelet bases Signal Processing Elsevier[SCI] 2017, 135, 107-120 Imapct Factor 3.110

  • 67.

    M. Sharma, A. Dhere, R.B.Pachori ,U.R.Achara An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks Knowledge-Based Systems Elsevier[SCI] 2017,118, 217-227 Impact Factor 4.62