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20172019
most citedDetection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks

77 citations · 181 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2019

A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain

Faeza Hafiz, Celia Shahnaz

The aim of this paper is to propose a new approach for the pattern recognition of power quality (PQ) disturbances based on Empirical mode decomposition (EMD) and Nearest Neighb…

eess.SP2018★ 32 cited

SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation

Mohammad Tariqul Islam, Sk. Tanvir Ahmed, Celia Shahnaz +1

The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded signals. In this paper, a…

eess.AS2018★ 1 cited

Speech Enhancement Based on Non-stationary Noise-driven Geometric Spectral Subtraction and Phase Spectrum Compensation

Md Tauhidul Islam, Udoy Saha, K. T. Shahid +2

In this paper, a speech enhancement method based on noise compensation performed on short time magnitude as well phase spectra is presented. Unlike the conventional geometric appro…

eess.AS2018

Enhancement of Noisy Speech exploiting a Gaussian Modeling based Threshold and a PDF Dependent Thresholding Function

Md Tauhidul Islam, Celia Shahnaz

This paper presents a speech enhancement method, where an adaptive threshold is statistically determined based on Gaussian modeling of Teager energy (TE) operated perceptual wavele…

eess.AS2018★ 3 cited

Speech Enhancement in Adverse Environments Based on Non-stationary Noise-driven Spectral Subtraction and SNR-dependent Phase Compensation

Md Tauhidul Islam, Asaduzzaman, Celia Shahnaz +2

A two-step enhancement method based on spectral subtraction and phase spectrum compensation is presented in this paper for noisy speeches in adverse environments involving non-stat…

eess.AS2018

Enhancement of Noisy Speech Exploiting an Exponential Model Based Threshold and a Custom Thresholding Function in Perceptual Wavelet Packet Domain

Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu +1

For enhancement of noisy speech, a method of threshold determination based on modeling of Teager energy (TE) operated perceptual wavelet packet (PWP) coefficients of the noisy spee…

eess.AS2018

Enhancement of Noisy Speech with Low Speech Distortion Based on Probabilistic Geometric Spectral Subtraction

Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu +1

A speech enhancement method based on probabilistic geometric approach to spectral subtraction (PGA) performed on short time magnitude spectrum is presented in this paper. A confide…

eess.AS2018★ 1 cited

Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients with an Erlang-2 PDF for Real Time Enhancement of Noisy Speech

Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu +1

In this paper, for real time enhancement of noisy speech, a method of threshold determination based on modeling of Teager energy (TE) operated perceptual wavelet packet (PWP) coeff…

eess.AS2018

A Divide and Conquer Strategy for Musical Noise-free Speech Enhancement in Adverse Environments

Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu +1

A divide and conquer strategy for enhancement of noisy speeches in adverse environments involving lower levels of SNR is presented in this paper, where the total system of speech e…

cs.CV2017★ 77 cited

Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks

Tahsin Reasat, Celia Shahnaz

Myocardial Infarction is one of the leading causes of death worldwide. This paper presents a Convolutional Neural Network (CNN) architecture which takes raw Electrocardiography (EC…

stat.AP2017★ 67 cited

A Time-Frequency Domain Approach of Heart Rate Estimation From Photoplethysmographic (PPG) Signal

Mohammad Tariqul Islam, Ishmam Zabir, Sk. Tanvir Ahamed +3

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The…