S. Mehta

发表

Threshold-based Detection of P and T-wave in ECG using New Feature Signal

V. Chouhan, S. Mehta, 2008 .

Entropy Criterion Based Delineation of QRS-Boundaries using PNN in Single-Lead Electrocardiogram

N. S. Lingayat, M. K. Bhaskar, S. Mehta, 2013 .

K-means algorithm for the detection and delineation of QRS-complexes in Electrocardiogram

S. S. Mehta, N. S. Lingayat, V. Chouhan, 2010 .

SVM-based algorithm for recognition of QRS complexes in electrocardiogram

S. S. Mehta, N. S. Lingayat, S. Mehta, 2008 .

SVM based QRS Detection in Electrocardiogram using Signal Entropy

N. S. Lingayat, S S Mehta, N S Lingayat, 2008 .

COMPARATIVE STUDY OF QRS DETECTION IN SINGLE LEAD AND 12-LEAD ECG BASED ON ENTROPY AND COMBINED ENTROPY CRITERIA USING SUPPORT VECTOR MACHINE

S. S. Mehta, N. S. Lingayat, S. Mehta, 2007 .

CLASSIFICATION OF ARRHYTHMIAS IN SIGNALS ELECTROCARDIOGRAPHY BASED ON A HYBRID SYSTEM USING NEURAL NETWORKS AND FUZZY LOGIC

S. Mehta, S. Choudhary, 2017 .

SVMs a practical and effective solution for many pattern recognition and classification problems in bioinformatics

N. S. Lingayat, S. Mehta, 2022 .

Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2008, Comput. Biol. Medicine.

Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2008, Biomed. Signal Process. Control..

Computer-aided interpretation of ECG for diagnostics

S. C. Saxena, S. S. Mehta, H. K. Verna, 1996, Int. J. Syst. Sci..

Development of SVM based ECG Pattern Recognition Technique

N. S. Lingayat, N S Lingayat, S S Mehta, 2008 .

Development of entropy based algorithm for cardiac beat detection in 12-lead electrocardiogram

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2007, Signal Process..

Application of support vector machine for the detection of P- and T-waves in 12-lead electrocardiogram

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2009, Comput. Methods Programs Biomed..

Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2007, IMECS.

Identification of QRS complexes in 12-lead electrocardiogram

Sarabjeet Singh Mehta, Nitin Shivappa Lingayat, N. S. Lingayat, 2009, Expert Syst. Appl..

Detection of QRS Complexes in 12-lead ECG using Adaptive Quantized Threshold

S. S. Mehta, V. Chouhan, S. Mehta, 2008 .

Detection of P and T-waves in Electrocardiogram

N. S. Lingayat, S. S. Mehta, S. Mehta, 2008 .

Detection of QRS complexes in electrocardiogram using support vector machine

N. S. Lingayat, S S Mehta, N S Lingayat, 2008, Journal of medical engineering & technology.

Validity of computer interpretation of the electrocardiogram.

J Wartak, W Orme, D W Lywood, 1971, Canadian Medical Association journal.

Journal of Theoretical and Applied Information Technology Identification and Delineation of Qrs Complexes in Electrocardiogram Using Fuzzy C-means Algorithm

S. S. Mehta, C. R. Trivedi, N. S. Lingayat, 2022 .

Total Removal of Baseline Drift from ECG Signal

Sarabjeet Singh Mehta, V. S. Chouhan, V. Chouhan, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Recognition of P and T waves in electrocardiograms using fuzzy theory

H. K. Verma, H. K. Verma, S. S. Mehta, 1995, Proceedings of the First Regional Conference, IEEE Engineering in Medicine and Biology Society and 14th Conference of the Biomedical Engineering Society of India. An International Meet.