Md. Ashfanoor Kabir, Celia Shahnaz
Mohammad Mehedi Hassan, Md. Golam Rabiul Alam, Md. Zia Uddin, Shamsul Huda et al.
Recently, deep learning methodologies have become popular to analyse physiological signals in multiple modalities via hierarchical architectures for human emotion recognition. In most of the state-of-the-arts of human emotion recognition, deep learning for emotion classification was used. However, d...
Md. Sabbir Ejaz, Md. Rabiul Islam, Md Sifatullah, Ananya Sarker
This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition. Security is an essential term in our today's life. In various Biometric technology, face recognition is widely used to secure any system because it is better than any other tradit...
Samiul Alam, M. I. H. Bhuiyan
In this paper, a method using higher order statistical moments of EEG signals calculated in the empirical mode decomposition (EMD) domain is proposed for detecting seizure and epilepsy. The appropriateness of these moments in distinguishing the EEG signals is investigated through an extensive analys...
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B. Mahbub et al.
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based BP measurements are discrete and uncomfortable to the user. T...
Prajoy Podder, Tanvir Zaman Khan, Mamdudul Haque Khan, Mezbahur Rahman
In the emerging field of medical image processing, computer vision, pattern recognition and other digital signal processing applications, window technique is vastly used. A window function is a mathematical function that is zero-valued outside of some chosen interval. When another function is multip...
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Mabrook Al‐Rakhami et al.
The alarmingly high mortality rate and increasing global prevalence of cardiovascular diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram (PCG) signals have been historically applied in this domain owing to its simplicity and cost-effectiveness. In this article, we ...
Ahnaf Rashik Hassan, Abdülhamit Subaşı
Background and objective Computerized epileptic seizure detection is essential for expediting epilepsy diagnosis and research and for assisting medical professionals. Moreover, the implementation of an epilepsy monitoring device that has low power and is portable requires a reliable and successful s...
Nahian I. Hasan, Arnab Bhattacharjee
Multiple cardiovascular disease classification from Electrocardiogram (ECG) signal is necessary for efficient and fast remedial treatment of the patient. This paper presents a method to classify multiple heart diseases using one dimensional deep convolutional neural network (CNN) where a modified EC...
Md. Asadur Rahman, Md. Foisal Hossain, M.Mokarrom Hossain, Rasel Ahmmed
To achieve a highly efficient brain-computer interface (BCI) system regarding emotion recognition from electroencephalogram (EEG) signal, the most crucial issues are feature extractions and classifier selection. This work proposes an innovative method that hybridizes the principal component analysis...
Md. Rabiul Islam, Md. Milon Islam, Md. Mustafizur Rahman, Chayan Mondal et al.
Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to improve Human-Computer Interaction (HCI). Recognizing emotion from Electroencephalogram (EEG) has been globally accepted in many applications such as intelligent thinking, decision-making, social communication, f...
Elisabeth M. Kinney, Joseph Vedora, Robert Stromer
We examined the use of computer video models and video rewards to teach generative spelling to a child with an autism spectrum disorder. In Phase 1, Ana viewed video models of her teacher writing target words. After Ana wrote the words correctly, she watched videos of play routines unique to each tr...
Md. Abdul Awal, Sheikh Shanawaz Mostafa, Mohiuddin Ahmad, M. A. Rashid
Ahnaf Rashik Hassan, Abdülhamit Subaşı, Yanchun Zhang
Background: Epileptic seizure detection is traditionally performed by visual observation of Electroencephalogram (EEG) signals. Owing to its onerous and time-consuming nature, seizure detection based on visual inspection hinders epilepsy diagnosis, monitoring, and large-scale data analysis in epilep...
Tania Akter, Mohammad Hanif Ali, Md. Imran Khan, Md. Shahriare Satu et al.
Autism spectrum disorder (ASD) is a complex neuro-developmental disorder that affects social skills, language, speech and communication. Early detection of ASD individuals, especially children, could help to devise and strategize right therapeutic plan at right time. Human faces encode important mar...