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...
Mohammad Tariqul Islam, Sejuti Rahman, M. Omair Ahmad, M.N.S. Swamy
The removal of mixed-noise is an ill-posed problem due to high level of non-linearity in the distribution of noise. Most commonly encountered mixed-noise is the combination of additive white Gaussian noise (AWGN) and impulse noise (IN) that have contrasting characteristics. A number of methods from ...
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...
Tashrif Billah, S. M. Mahbubur Rahman, M. Omair Ahmad, M.N.S. Swamy
Busy life as well as the prevalence of infotainment is increasingly making people more occupied even during tasks that require serious attention. One such task is driving and at the same time getting involved in activities that may distract drivers cognitively from watching the road and cause fatal ...
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...
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 ...
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 ...
Mohammad Ariful Haque, M. Omair Ahmad, M.N.S. Swamy, Md. Kamrul Hasan et al.
The number of projections is a critical factor in tomographic imaging. The larger the number, the better the quality of the reconstructed image; however, it increases the radiation dose delivered to the patient. Therefore, it is important to keep the number of projections as small as possible. Tradi...
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...