Abul Doulah, Shaikh Anowarul Fattah, Wei‐Ping Zhu, M. Omair Ahmad
In this paper, two schemes for neuromuscular disease classification from electromyography (EMG) signals are proposed based on discrete wavelet transform (DWT) features. In the first scheme, a few high energy DWT coefficients along with the maximum value are extracted in a frame by frame manner from ...
Arnab Bhattacharjee, Suvasish Saha, Shaikh Anowarul Fattah, Wei‐Ping Zhu et al.
Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in breathing during sleep. In this paper, an automatic apnea detection scheme is proposed using single lead electroencephalography (EEG) signal to discriminate apnea patients and healthy subjects as well as to dea...
Tanvir Mahmud, Ishtiaque Ahmed Khan, Talha Ibn Mahmud, Shaikh Anowarul Fattah et al.
Sleep apnea, a severe sleep disorder, is a clinically complicated disease that requires timely diagnosis for proper treatment. In this paper, an automated deep learning-based approach is proposed for the detection of sleep apnea frames from electroencephalogram (EEG) signals. Unlike conventional met...
A. F. M. Saif, Celia Shahnaz, Wei‐Ping Zhu, M. Omair Ahmad
To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging the musculoskeletal radiographs bring a significant depth of expertise. Abnormality detection in the musculoskeletal study is backbreaking as more than 1.7 billion people are affected by mu...
Min Lin, Lüxi Yang, Wei‐Ping Zhu, Min Li
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Recently, the combination of beamforming (BF) and space-time block coding (STBC) has been widely studied in wireless communications, and is recognized as an efficient means to improve the system performa...
Shaikh Anowarul Fattah, Abul Doulah, Md Asif Iqbal, Celia Shahnaz et al.
Amyotrophic lateral sclerosis (ALS) is a common fatal motor neuron disease that assails the nerve cells in the brain. As the nervous system controls the muscle activity, the electromyography (EMG) signals can be viewed and examined in order to detect the vital features of the ALS disease in individu...
Celia Shahnaz, Wei‐Ping Zhu, M. Omair Ahmad
In this paper, a method for the estimation of pitch from noise-corrupted speech observations based on extracting a pitch harmonic and the corresponding harmonic number is proposed. Starting from the harmonic representation of clean speech, a simple yet accurate harmonic sinusoidal autocorrelation (H...
A. F. M. Saif, Tamjid Imtiaz, Shahriar Rifat, Celia Shahnaz et al.
Since the end of 2019, novel coronavirus disease (COVID-19) has brought about a plethora of unforeseen changes to the world as we know it. Despite our ceaseless fight against it, COVID-19 has claimed millions of lives, and the death toll exacerbated due to its extremely contagious and fast-spreading...
Tonmoy Ghosh, Shaikh Anowarul Fattah, Khan A. Wahid, Wei‐Ping Zhu et al.
Wireless capsule endoscopy (WCE) is capable of demonstrating the entire gastrointestinal tract at an expense of exhaustive reviewing process for detecting bleeding disorders. The main objective is to develop an automatic method for identifying the bleeding frames and zones from WCE video. Different ...
Min Li, Min Lin, Wei‐Ping Zhu, Yongming Huang et al.
In this paper, we investigate the performance of a multiple-input-multiple-output (MIMO) maximal ratio combining (MRC) system with feedback delay and channel estimation error. By taking these practical imperfect factors into account, we first formulate the system model and derive the moment-generati...
Md Tauhidul Islam, Celia Shahnaz, Wei‐Ping Zhu, M. Omair Ahmad
This paper presents a speech enhancement approach, where an adaptive threshold is statistically determined based on Student <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$t$</tex></formula> Modeling of Teag...
Abul Doulah, Shaikh Anowarul Fattah, Wei‐Ping Zhu, M. Omair Ahmad
A feature extraction scheme based on discrete cosine transform (DCT) of electromyography (EMG) signals is proposed for the classification of normal event and a neuromuscular disease, namely the amyotrophic lateral sclerosis. Instead of employing DCT directly on EMG data, it is employed on the motor ...
A. F. M. Saif, Tamjid Imtiaz, Celia Shahnaz, Wei‐Ping Zhu et al.
Tuberculosis (TB) is a communicable disease that is one of the top 10 causes of death worldwide according to the World Health Organization. Hence, Early detection of Tuberculosis is an important task to save millions of lives from this life threatening disease. For diagnosing TB from chest X-Ray, di...
Tanvir Mahmud, Shaimur Salehin Akash, Shaikh Anowarul Fattah, Wei‐Ping Zhu et al.
Activity recognition from wearable sensors is a promising field of research with a wide variety of applications to track human activity from distant positions. In this paper, a multi-stage long short term memory (LSTM) based deep neural network is proposed to integrate multimodal features from numer...
Tonmoy Ghosh, Shaikh Anowarul Fattah, Syed Khairul Bashar, Celia Shahnaz et al.
Wireless capsule endoscopy (WCE) is a painless operative video technology to detect small intestine diseases, such as bleeding. Instead of using the most common RGB (red, green, blue) color scheme, in this paper, YIQ (luminance-Y, chrominance-IQ: in phase-I and quadrature-Q) color scheme is used for...
Shaikh Anowarul Fattah, Wei‐Ping Zhu, M. Omair Ahmad
This study presents a new scheme for the identification of minimum-phase autoregressive moving average (ARMA) systems from noise-corrupted observations. From the autocorrelation function (ACF) of the observed data, exploiting the characteristics of the zero lag, the authors develop a set of equation...
Arnab Bhattacharjee, Shaikh Anowarul Fattah, Wei‐Ping Zhu, M. Omair Ahmad
Electroencephalogram (EEG) is getting special attention of late in the detection of sleep apnea as it is directly related to the neural activity. But apnea detection through visual monitoring of EEG signal by an expert is expensive, difficult, and susceptible to human error. To counter this problem,...
Tanvir Mahmud, Ishtiaque Ahmed Khan, Talha Ibn Mahmud, Shaikh Anowarul Fattah et al.
The topic of automatic detection of sleep apnea which is a respiratory sleep disorder, affecting millions of patients worldwide, is continuously being explored by researchers. Electroencephalogram signal (EEG) represents a promising tool due to its direct correlation to neural activity and ease of e...
Upal Mahbub, Shaikh Anowarul Fattah, Wei‐Ping Zhu, M. Omair Ahmad
In this paper, a two-stage scheme is proposed to deal with the difficult problem of acoustic echo cancellation (AEC) in single-channel scenario in the presence of noise. In order to overcome the major challenge of getting a separate reference signal in adaptive filter-based AEC problem, the delayed ...
Celia Shahnaz, R. H. Md. Rafi, Shaikh Anowarul Fattah, Wei‐Ping Zhu et al.
In his paper a method of seizure detection has been proposed based on the Discrete Wavelet Transform (DWT) analysis of the dominant Intrinsic mode function(IMF) resulting from the Empirical Mode Decomposition(EMD) of the EEG signals. Considering the normalized energy, Fourier spectrum and cross-corr...