Saeed Akbarzadeh

Fudan University — China

Medicine · Health Sciences

9h-index416citations18works0.02yr avg
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Research Topics

Neonatal and fetal brain pathology(7), Obstructive Sleep Apnea Research(5), Infant Health and Development(4), EEG and Brain-Computer Interfaces(3), Indoor and Outdoor Localization Technologies(2)

Publications18 total

A Novel Active Human Echolocation Device
2022
A Simple Fabrication, Low Noise, Capacitive Tactile Sensor for Use in Inexpensive and Smart Healthcare Systems
IEEE Sensors Journal·2022· 25 cited
Non-Wearable IoT-Based Smart Ambient Behavior Observation System
IEEE Sensors Journal·2021· 47 cited
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video
IEEE Journal of Biomedical and Health Informatics·2021· 51 citedOpen Access
An energy screening and morphology characterization-based hybrid expert scheme for automatic identification of micro-sleep event K-complex
Computer Methods and Programs in Biomedicine·2021· 4 cited
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
BMC Research Notes·2020· 22 citedOpen Access
Can Pre-Trained Convolutional Neural Networks be directly used as a Feature Extractor for Video-based Neonatal Sleep and Wake Classification?
2020Open Access
Can Pre-Trained Convolutional Neural Networks be used as Feature Extractors for Video-based Neonatal Sleep and Wake Classification?
Research Square (Research Square)·2020Open Access
Can Pre-Trained Convolutional Neural Networks be used as Feature Extractors for Video-based Neonatal Sleep and Wake Classification?
2020Open Access
Simulation of hot air <scp>infrared‐assisted</scp> green peas drying using finite element method
Journal of Food Process Engineering·2020· 13 cited
A knowledge-based approach for automatic quantification of epileptiform activity in children with electrical status epilepticus during sleep
Journal of Neural Engineering·2020· 8 cited
Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System
2020· 6 cited
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network
IEEE Access·2020· 66 citedOpen Access
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition
IEEE Access·2020· 30 citedOpen Access
Smart aging system
2019· 3 cited
Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection
Sensors·2019· 87 citedOpen Access
Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol
Applied System Innovation·2018· 53 citedOpen Access
A New Wireless Sensorized Pacifier for Evaluating Infants’ Feeding Skills During the Non-nutritive Sucking
2018· 1 cited

Frequent Co-authors

Wei Chen(16), Muhammad Awais(9), Saadullah Farooq Abbasi(9), Chen Chen(8), Xi Long(7), Chunmei Lu(7), Laishuan Wang(7), Muhammad Irfan(6), Bin Yin(5), Hemant Ghayvat(4), Xian Zhao(4), Sharnil Pandya(3), Subhas Chandra Mukhopadhyay(3), Prosanta Gope(3), Xinhua Wang(3), Chen Chen(3), Hao Ren(2), Arpita Chouhan(2), Muhammad Awais(2), Anum Nawaz(2)