Search Results - "Biomedical signal processing and control"

Speech emotion recognition using deep 1D & 2D CNN LSTM networks by Zhao, Jianfeng, Mao, Xia, Chen, Lijiang

“…We aimed at learning deep emotion features to recognize speech emotion. Two convolutional neural network and long short-term memory (CNN LSTM) networks, one 1D…”
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Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study by Nayak, Soumya Ranjan, Nayak, Deepak Ranjan, Sinha, Utkarsh, Arora, Vaibhav, Pachori, Ram Bilas

“…The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are…”
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A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset by Rahimzadeh, Mohammad, Attar, Abolfazl, Sakhaei, Seyed Mohammad

“…[Display omitted] •We introduce and share a new and large dataset of original CT scans.•We introduce a fully automated system for detecting COVID-19 cases that…”
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Speech emotion recognition with deep convolutional neural networks by Issa, Dias, Fatih Demirci, M., Yazici, Adnan

“…•Sound files are represented effectively by combining various features.•The framework sets the new SOTA on two datasets for speech emotion recognition.•For the…”
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An IoT-based framework for early identification and monitoring of COVID-19 cases by Otoom, Mwaffaq, Otoum, Nesreen, Alzubaidi, Mohammad A., Etoom, Yousef, Banihani, Rudaina

“…•Early Identification or Prediction of COVID-19 cases.•Real-time Monitoring of COVID-19.•Treatment Response of COVID-19 confirmed cases.•An IoT-based Framework…”
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Deep learning for motor imagery EEG-based classification: A review by Al-Saegh, Ali, Dawwd, Shefa A., Abdul-Jabbar, Jassim M.

“…The availability of large and varied Electroencephalogram (EEG) datasets, rapidly advances and inventions in deep learning techniques, and highly powerful and…”
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A survey on ECG analysis by Kaplan Berkaya, Selcan, Uysal, Alper Kursat, Sora Gunal, Efnan, Ergin, Semih, Gunal, Serkan, Gulmezoglu, M. Bilginer

“…The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and…”
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Iterative reconstruction of low-dose CT based on differential sparse by Lu, Siyu, Yang, Bo, Xiao, Ye, Liu, Shan, Liu, Mingzhe, Yin, Lirong, Zheng, Wenfeng

“…•Focuses on how to reduce the radiation dose of CT and ensure CT's imaging quality.•Proposes a discriminative sparse transform iterative reconstruction…”
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Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images by Ghassemi, Navid, Shoeibi, Afshin, Rouhani, Modjtaba

“…•Presenting an unsupervised pretraining method to overcome overfitting using GAN.•The unsupervised pretraining allow using of similar unlabeled datasets.•This…”
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Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets by Petmezas, Georgios, Haris, Kostas, Stefanopoulos, Leandros, Kilintzis, Vassilis, Tzavelis, Andreas, Rogers, John A, Katsaggelos, Aggelos K, Maglaveras, Nicos

“…•The hybrid CNN-LSTM approach provides the best combination of performance (sensitivity, specificity) in comparison with all previous relevant studies.•The…”
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Endoscope image mosaic based on pyramid ORB by Zhang, Ziyan, Wang, Lixiao, Zheng, Wenfeng, Yin, Lirong, Hu, Rongrong, Yang, Bo

“…•The key to endoscopic image mosaics success is the accuracy of image registration and fusion.•This paper uses the Gaussian Pyramid to improve the simple…”
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A convolutional neural network for sleep stage scoring from raw single-channel EEG by Sors, Arnaud, Bonnet, Stéphane, Mirek, Sébastien, Vercueil, Laurent, Payen, Jean-François

“…•A sleep scoring system based on a convolutional neural network is proposed.•The network is trained end-to-end and learns feature detectors on raw EEG.•The…”
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A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images by Bhattacharyya, Abhijit, Bhaik, Divyanshu, Kumar, Sunil, Thakur, Prayas, Sharma, Rahul, Pachori, Ram Bilas

“…•This work presents a comprehensive study on the classification of COVID-19, pneumonia, and normal X-ray images.•Conditional generative adversarial network…”
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A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration by Bi, Luzheng, Feleke, Aberham -->Genetu, Guan, Cuntai

“…Electromyography (EMG) signal is one of the widely used biological signals for human motor intention prediction, which is an essential element in human-robot…”
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A review on CT image noise and its denoising by Diwakar, Manoj, Kumar, Manoj

“…CT imaging is widely used in medical science over the last decades. The process of CT image reconstruction depends on many physical measurements such as…”
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Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images by Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizadeh, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra

“…•We ourselves collected the data. So, the dataset is new.•Proposed method was tested on six public datasets and the results are better than most of state of…”
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Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers by Mondéjar-Guerra, V., Novo, J., Rouco, J., Penedo, M.G., Ortega, M.

“…•An ensemble of SVMs is proposed for ECG arrhythmia classification.•Each SVM model is trained on a different set of features.•Ensemble of SVMs improves the…”
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Improved complete ensemble EMD: A suitable tool for biomedical signal processing by Colominas, Marcelo A., Schlotthauer, Gastón, Torres, María E.

“…•Two major improvements on a noise-assisted EMD method are proposed.•The obtained components contain less noise and more physical meaning.•These improvements…”
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A review of feature extraction and performance evaluation in epileptic seizure detection using EEG by Boonyakitanont, Poomipat, Lek-uthai, Apiwat, Chomtho, Krisnachai, Songsiri, Jitkomut

“…•Detailed mathematical description of features and their physical interpretations relevant to epileptic seizure detection are provided.•Performance of each…”
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MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech by Rejaibi, Emna, Komaty, Ali, Meriaudeau, Fabrice, Agrebi, Said, Othmani, Alice

“…•A deep Recurrent Neural Network based framework for depression recognition from speech.•A robust approach that outperforms the state-of-art approaches on…”
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