A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

The multimodal brain tumor image segmentation benchmark (BRATS)

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Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

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Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

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A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges

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Pixel-level image fusion: A survey of the state of the art

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Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

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Medical Internet of Things and Big Data in Healthcare

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Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

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Applications of Deep Learning and Reinforcement Learning to Biological Data

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TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise

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Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices

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Internet of things (IoT) applications to fight against COVID-19 pandemic

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The eNTERFACE’05 Audio-Visual Emotion Database

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Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

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Emotion recognition using deep learning approach from audio–visual emotional big data

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Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness

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Internet of Medical Things (IOMT): Applications, Benefits and Future Challenges in Healthcare Domain

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Flexible, Stretchable Sensors for Wearable Health Monitoring: Sensing Mechanisms, Materials, Fabrication Strategies and Features

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Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

Ning, Z., Dong, P., Wang, X., Hu, X., Guo, L., Hu, B., Guo, Y., Qiu, T., & Kwok, R. Y. K. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020645 · Cited by 381 · see citing works

An overview of multi-modal medical image fusion

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A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare

Alshehri, F., & Muhammad, G. (2020) · IEEE Access · doi:10.1109/access.2020.3047960 · Cited by 349 · see citing works

Fusion of multimodal medical images using Daubechies complex wavelet transform – A multiresolution approach

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5G Communication: An Overview of Vehicle-to-Everything, Drones, and Healthcare Use-Cases

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Design, implementation and validation of a novel open framework for agile development of mobile health applications

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Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

Rahman, M. A., Hossain, M. S., Islam, M. S., Alrajeh, N. A., & Muhammad, G. (2020) · IEEE Access · doi:10.1109/access.2020.3037474 · Cited by 312 · see citing works

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

Muzammal, M., Talat, R., Sodhro, A. H., & Pirbhulal, S. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.06.021 · Cited by 311 · see citing works

Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics

Firouzi, F., Rahmani, A. M., Mankodiya, K., Badaroglu, M., Merrett, G. V., Wong, P., & Farahani, B. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.016 · Cited by 303 · see citing works

Increasing trend of wearables and multimodal interface for human activity monitoring: A review

Kumari, P., Mathew, L., & Syal, P. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.12.001 · Cited by 298 · see citing works

PET/MRI for Neurologic Applications

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Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System

Abawajy, J., & Hassan, M. M. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600374cm · Cited by 276 · see citing works

Emotion-aware connected healthcare big data towards 5G

Hossain, M. S., & Muhammad, G. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2772959 · Cited by 273 · see citing works

5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds

Chen, M., Yang, J., Zhou, J., Hao, Y., Zhang, J., & Youn, C. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700788 · Cited by 266 · see citing works

A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care

Masud, M., Gaba, G. S., Alqahtani, S., Muhammad, G., Gupta, B. B., Kumar, P., & Ghoneim, A. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3047662 · Cited by 258 · see citing works

Smart healthcare monitoring: a voice pathology detection paradigm for smart cities

Hossain, M. S., Muhammad, G., & Alamri, A. M. (2017) · Multimedia Systems · doi:10.1007/s00530-017-0561-x · Cited by 246 · see citing works

Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring

Muhammad, G., Rahman, S. M. M., Alelaiwi, A., & Alamri, A. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600425cm · Cited by 244 · see citing works

Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications

Singh, R. P., Javaid, M., Haleem, A., Vaishya, R., & Ali, S. (2020) · Journal of Clinical Orthopaedics and Trauma · doi:10.1016/j.jcot.2020.05.011 · Cited by 244 · see citing works

Connecting Intelligent Things in Smart Hospitals Using NB-IoT

Zhang, H., Li, J., Wen, B., Xun, Y., & Liu, J. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2792423 · Cited by 228 · see citing works

Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

Sun, L., Jiang, X., Ren, H., & Guo, Y. M. (2020) · IEEE Access · doi:10.1109/access.2020.2997831 · Cited by 228 · see citing works

Electroencephalography-based motor imagery classification using temporal convolutional network fusion

Musallam, Y. K., AlFassam, N. I., Muhammad, G., Amin, S. U., Alsulaiman, M., Abdul, W., Altaheri, H., Bencherif, M. A., & Algabri, M. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102826 · Cited by 226 · see citing works

A review of multimodal medical image fusion techniques

Huang, B., Yang, F., Yin, M., Mo, X., & Zhong, C. (2020) · Computational and Mathematical Methods in Medicine · doi:10.1155/2020/8279342 · Cited by 220 · see citing works

Cognitive Smart Healthcare for Pathology Detection and Monitoring

Amin, S. U., Hossain, M. S., Muhammad, G., Alhussein, M. A., & Rahman, M. A. (2019) · IEEE Access · doi:10.1109/access.2019.2891390 · Cited by 218 · see citing works

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Asif-Ur-Rahman, M., Afsana, F., Mahmud, M., Kaiser, M. S., Ahmed, M. R., Kaiwartya, O., & James, A. E. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2876088 · Cited by 217 · see citing works

Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification

Amin, S. U., Alsulaiman, M., Muhammad, G., Bencherif, M. A., & Hossain, M. S. (2019) · IEEE Access · doi:10.1109/access.2019.2895688 · Cited by 209 · see citing works

Image fusion using hybrid methods in multimodality medical images

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A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion

Chen, C., Jafari, R., & Kehtarnavaz, N. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2487358 · Cited by 188 · see citing works

Application of cognitive Internet of Medical Things for COVID-19 pandemic

Swayamsiddha, S., & Mohanty, C. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.06.014 · Cited by 182 · see citing works

Cognitive IoT-Cloud Integration for Smart Healthcare: Case Study for Epileptic Seizure Detection and Monitoring

Alhussein, M. A., Muhammad, G., Hossain, M. S., & Amin, S. U. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-018-1113-0 · Cited by 175 · see citing works

A new contrast based multimodal medical image fusion framework

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A Survey on Multimodal Data-Driven Smart Healthcare Systems: Approaches and Applications

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Transactions on Rough Sets III

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A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data

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Medical Image Forgery Detection for Smart Healthcare

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Edge Intelligence in the Cognitive Internet of Things: Improving Sensitivity and Interactivity

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Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study

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EEG-Based Pathology Detection for Home Health Monitoring

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Convergence of IoT and product lifecycle management in medical health care

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Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement

Miao, F., Liu, Z.-D., Liu, J., Wen, B., He, Q., & Li, Y. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2901724 · Cited by 136 · see citing works

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure

Qi, J., Yang, P., Newcombe, L., Peng, X., Yang, Y., & Zhao, Z. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.09.002 · Cited by 133 · see citing works

A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity

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Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

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Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare

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Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions

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Multimodal medical image fusion using PCNN optimized by the QPSO algorithm

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Multi-sensor fusion for body sensor network in medical human–robot interaction scenario

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COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images

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Towards Medical Data Interoperability Through Collaboration of Healthcare Devices

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Emotion Recognition for Cognitive Edge Computing Using Deep Learning

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Multimodal Data Fusion Using Source Separation: Application to Medical Imaging

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Emotion recognition using secure edge and cloud computing

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A novel approach for multimodal medical image fusion

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MRI segmentation fusion for brain tumor detection

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A novel cluster head selection technique for edge-computing based IoMT systems

Han, T., Zhang, L., Pirbhulal, S., Wu, W., & de Albuquerque, V. H. C. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.04.021 · Cited by 101 · see citing works

Multimodal heart beat detection using signal quality indices

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Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features

Yang, F. S., Zhao, X., Jiang, W., Gao, P., & Liu, G. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00053 · Cited by 94 · see citing works

An Audio-Visual Emotion Recognition System Using Deep Learning Fusion for a Cognitive Wireless Framework

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Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things

Dong, P., Ning, Z., Obaidat, M. S., Jiang, X., Guo, Y., Hu, X., Hu, B., & Sadoun, B. (2020) · IEEE Network · doi:10.1109/mnet.011.1900636 · Cited by 91 · see citing works

Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing

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HERMIT: A Benchmark Suite for the Internet of Medical Things

Limaye, A., & Adegbija, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2849859 · Cited by 87 · see citing works

WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition

Zou, H., Yang, J., Das, H., Liu, H., Zhou, Y., & Spanos, C. J. (2019) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2019.00056 · Cited by 85 · see citing works

An improved multimodal medical image fusion algorithm based on fuzzy transform

Manchanda, M., & Sharma, R. K. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2017.12.011 · Cited by 83 · see citing works

Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals

Wei, W., Jia, Q., Feng, Y., & Chen, G. (2018) · Computational Intelligence and Neuroscience · doi:10.1155/2018/5296523 · Cited by 82 · see citing works

A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate

Lenk, K., Satuvuori, E., Lallouette, J., Ladrón-de-Guevara, A., Berry, H., & Hyttinen, J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00092 · Cited by 82 · see citing works

Particle Filtering and Sensor Fusion for Robust Heart Rate Monitoring Using Wearable Sensors

Nathan, V., & Jafari, R. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2783758 · Cited by 79 · see citing works

Emerging trends, issues, and challenges in Internet of Medical Things and wireless networks

Manogaran, G., Chilamkurti, N., & Hsu, C. (2018) · Personal and Ubiquitous Computing · doi:10.1007/s00779-018-1178-6 · Cited by 79 · see citing works

Intelligent Baby Behavior Monitoring using Embedded Vision in IoT for Smart Healthcare Centers

Hussain, T., Muhammad, K., Khan, S., et al. (2019) · Journal of Artificial Intelligence and Systems · doi:10.33969/ais.2019.11007 · Cited by 79 · see citing works

Computing and Processing on the Edge: Smart Pathology Detection for Connected Healthcare

Muhammad, G., Alhamid, M. F., & Long, X. (2019) · IEEE Network · doi:10.1109/mnet.001.1900045 · Cited by 76 · see citing works

Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors

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Multimodal Medical Image Sensor Fusion Model Using Sparse K-SVD Dictionary Learning in Nonsubsampled Shearlet Domain

Singh, S., & Anand, R. S. (2019) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2019.2902808 · Cited by 72 · see citing works

A Survey on Multimodal Medical Data Visualization

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IoT-Based Healthcare Support System for Alzheimer’s Patients

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Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model

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Interoperable Internet of Medical Things platform for e-Health applications

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Automatic Voice Pathology Monitoring Using Parallel Deep Models for Smart Healthcare

Alhussein, M. A., & Muhammad, G. (2019) · IEEE Access · doi:10.1109/access.2019.2905597 · Cited by 51 · see citing works

Challenges and Opportunities of Internet of Things in Healthcare

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An improved multimodal medical image fusion scheme based on hybrid combination of nonsubsampled contourlet transform and stationary wavelet transform

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Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

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Multi-level information fusion for learning a blood pressure predictive model using sensor data

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