400399. Biomedical engineering not elsewhere classified
| Title | 400399. Biomedical engineering not elsewhere classified |
|---|---|
| Parent | 4003. Biomedical engineering |
Latest research outputs
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Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion
Zhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng. 2025. "Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion." Biomedical Signal Processing and Control. 100 (Part C). https://doi.org/10.1016/j.bspc.2024.107006Article
Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers
Islam, Rafiul, Ahad, Md. Taimur, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers." Journal of Voice. https://doi.org/10.1016/j.jvoice.2024.10.010Article
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
Li, Tianning, Huang, Yi, Wen, Paul and Li, Yan. 2024. "Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00241-yArticle
A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827Article
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease
Siuly, Siuly, Alcin, Ömer Faruk, Wang, Hua, Li, Yan and Wen, Peng. 2024. "Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease ." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (2), pp. 1609-1623. https://doi.org/10.1109/TETCI.2024.3353610Article
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2024. "3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network." Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105815Article
Influence of Low-Frequency Vibration and Skin Strain on Insertion Mechanics and Drug Diffusion of PVA/PVP Dissolving Microneedles
Ebrahiminejad, Vahid, Malek-Khatabi, Atefeh and Faraji Rad, Zahra. 2024. "Influence of Low-Frequency Vibration and Skin Strain on Insertion Mechanics and Drug Diffusion of PVA/PVP Dissolving Microneedles." Advanced Materials Technologies. 9 (4). https://doi.org/10.1002/admt.202301272Article
Automated accurate emotion classification using Clefia pattern-based features with EEG signals
Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694Article
Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022Article
Real-time epilepsy seizure detection and brain connectivity analysis using electroencephalogram
Shen, Mingkan. 2023. Real-time epilepsy seizure detection and brain connectivity analysis using electroencephalogram. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z1v0wPhD by Publication
A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678Article
A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal
Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Key, Sefa, Acharya, U. Rajendra and Cheong, Kang Hao. 2022. "A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal." Sensors. 22 (5). https://doi.org/10.3390/s22052007Article
Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks." Biomedical Signal Processing and Control. 79 (Part 2), pp. 1-8. https://doi.org/10.1016/j.bspc.2022.104242Article
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG
Tawhid, Md. Nurul Ahad, Siuly, Siuly and Li, Tianning. 2022. "A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG." IEEE Transactions on Instrumentation and Measurement. 71, pp. 1-11. https://doi.org/10.1109/TIM.2022.3217515Article
SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Article
Novel large scale brain network models for EEG epileptic pattern generations
Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477Article
Picomolar detection of carbohydrate-lectin interactions on piezoelectrically printed microcantilever array
Cooper, Oren, Phan, Hoang-Phuong, Fitzpatrick, Tom, Dinh, Toan, Huang, Han, Nguyen, Nam-Trung and Tiralongo, Joe. 2022. "Picomolar detection of carbohydrate-lectin interactions on piezoelectrically printed microcantilever array." Biosensors and Bioelectronics. 205, pp. 1-8. https://doi.org/10.1016/j.bios.2022.114088Article
Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals
Loh, Hui Wen, Ooi, Chui Ping, Aydemir, Emrah, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals." Expert Systems: the journal of knowledge engineering. 39 (3). https://doi.org/10.1111/exsy.12773Article
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Loh, Hui Wen, Ooi, Chui Ping, Dhok, Shivani G., Sharma, Manish, Bhurane, Ankit A. and Acharya, U. Rajendra. 2022. "Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network." Applied Intelligence. 52 (3), pp. 2903-2917. https://doi.org/10.1007/s10489-021-02597-8Article
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Kuluozturk, Mutlu, Kobat, Mehmet Ali, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U Rajendra. 2022. "DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103870Article
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Koh, Joel.E.W., Ooi, Chui Ping, Lim-Ashworth, Nikki SJ., Vicnesh, Jahmunah, Tor, Hui Tian, Oh, Oh Shu, Tan, Ru-San, Acharya, U.Rajendra and Fung, Daniel Shuen Sheng. 2022. "Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals." Computers in Biology and Medicine. 140. https://doi.org/10.1016/j.compbiomed.2021.105120Article
Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP – EffUnet Classification
Venkatachalam, K., Bacanin, Nebojsa, Kabir, Enamul and Parbu, P.. 2021. "Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP – EffUnet Classification ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_17Paper
Sleep characteristics and stages detection and analysis using electroencephalogram (EEG)
Al-Salman, Wessam Abbas Hamed. 2021. Sleep characteristics and stages detection and analysis using electroencephalogram (EEG). PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Special issue on “Artificial Intelligence in Health Informatics”
Siuly, Siuly, Aickelin, Uwe, Kabir, Enamul, Huang, Zhisheng and Zhang, Yanchun. 2021. "Special issue on “Artificial Intelligence in Health Informatics”." Health Information Science and Systems. 9 (1), pp. 1-4. https://doi.org/10.1007/s13755-021-00155-7Editorial
Plantar pressure image and 3D gait phase image comparison between older adults and adults
Abbas, Nibras Sabih. 2021. Plantar pressure image and 3D gait phase image comparison between older adults and adults. Doctorate other than PhD Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/fwhq-vp38Doctorate other than PhD
A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN
Chen, Xing and Wen, Paul. 2020. "A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN." 2020 5th International Conference on Biomedical Signal and Image Processing (ICBIP 2020). Suzhou, China 21 - 23 Aug 2020 New York, United States. https://doi.org/10.1145/3417519.3419403Paper
Reliability of a close-range photogrammetry technique to measure ankle kinematics during active range of motion in place
Al-Kharaz, Ali A. and Chong, Albert. 2021. "Reliability of a close-range photogrammetry technique to measure ankle kinematics during active range of motion in place." The Foot. 46, pp. 1-5. https://doi.org/10.1016/j.foot.2020.101763Article
Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches
Zhu, Guohun, Bialkowski, Alina, Guo, Lei, Mohammed, Beadaa and Abbosh, Amin. 2021. "Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches ." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 5 (1), pp. 46-53. https://doi.org/10.1109/JERM.2020.2995329Article
Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniques
Li, Tianning and Wen, Peng. 2017. "Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniques." IET Signal Processing. 11 (2), pp. 221-227. https://doi.org/10.1049/iet-spr.2015.0114Article
Classification of alcoholic EEG signals using a deep learning method
Farsi, Leila, Siuly, Siuly, Kabir, Enamul and Wang, Hua. 2021. "Classification of alcoholic EEG signals using a deep learning method." IEEE Sensors Journal. 21 (3), pp. 3552 - 3560. https://doi.org/10.1109/JSEN.2020.3026830Article
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Edited book (chapter)
A new design of mental state classification for subject independent BCI systems
Joadder, Md. A. M., Siuly, S., Kabir, E., Wang, H. and Zhang, Y.. 2019. "A new design of mental state classification for subject independent BCI systems." IRBM. 40 (5), pp. 297-305. https://doi.org/10.1016/j.irbm.2019.05.004Article
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
Al-Salman, Wessam, Li, Yan, Wen, Peng and Diykh, Mohammed. 2018. "An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image." Biomedical Signal Processing and Control. 41, pp. 210-221. https://doi.org/10.1016/j.bspc.2017.11.019Article
Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0Article
Automatically Predicting Severity of Parkinson's Disease Using Model Based on XGBoost from Speech
Zhu, Xuchen, Fang, Yong and Wen, Peng. 2019. "Automatically Predicting Severity of Parkinson's Disease Using Model Based on XGBoost from Speech." 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). Dalian, China 20 - 22 Sep 2019 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSPCC46631.2019.8960722Paper
A New Way of Channel Selection in the Motor Imagery Classification for BCI Applications
Joadder, Md. A. Mannan, Siuly, Siuly and Kabir, Enamul. 2018. "A New Way of Channel Selection in the Motor Imagery Classification for BCI Applications ." Siuly, Siuly, Lee, Ickjai, Huang, Zhisheng, Zhou, Rui, Wang, Hua and Xiang, Wei (ed.) 7th International Conference on Health Information Science (HIS 2018). Cairns, Australia 05 - 07 Oct 2018 Switzerland. https://doi.org/10.1007/978-3-030-01078-2_10Conference or Workshop item
Real time depth of anaesthesia monitoring through electroencephalogram (EEG) signal analysis based on Bayesian method and analytical technique
Palendeng, Mario Elvis. 2015. Real time depth of anaesthesia monitoring through electroencephalogram (EEG) signal analysis based on Bayesian method and analytical technique. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly, Abdulla, Shahab and Wen, Paul. 2017. "Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction." Siuly, Siuly, Huang, Zhisheng, Aickelin, Uwe, Zhou, Rui, Wang, Hua, Zhang, Yanchun and Klimenko, Stanislav (ed.) 6th International Conference on Health Information Science (HIS 2017). Moscow, Russian Federation 07 - 09 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-69182-4_6Paper
Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features." Biomedical Signal Processing and Control. 48, pp. 80-92. https://doi.org/10.1016/j.bspc.2018.10.004Article
Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band
Li, Tianning and Wen, Peng. 2016. "Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band." Physical and Engineering Sciences in Medicine. 39 (3), pp. 773-781. https://doi.org/10.1007/s13246-016-0459-5Article