Tzallas, Alexandros T.

Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors

Rigas, G., Tzallas, A. T., Tsipouras, M. G., Bougia, P., Tripoliti, E. E., Baga, D., Fotiadis, D. I., Tsouli, S. G., & Konitsiotis, S. (2012) · IEEE Transactions on Information Technology in Biomedicine

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 241

Alzheimer's Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods

Miltiadous, A., Tzimourta, K. D., Giannakeas, N., Tsipouras, M. G., Afrantou, T., Ioannidis, P., & Tzallas, A. T. (2021) · Diagnostics

EEG and Brain-Computer InterfacesDementia and Cognitive Impairment Research

Cited by 160

High-Throughput, Machine Learning-Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies from Patients with Nonalcoholic Fatty Liver Disease

Forlano, R., Mullish, B. H., Giannakeas, N., Maurice, J. B., Angkathunyakul, N., Lloyd, J., Tzallas, A. T., Tsipouras, M., Yee, M., Thursz, M. R., et al. (2020) · Clinical Gastroenterology and Hepatology

Liver Disease Diagnosis and TreatmentAI in cancer detection

Cited by 142

A robust methodology for classification of epileptic seizures in EEG signals

Tzimourta, K. D., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Tsalikakis, D. G., Angelidis, P., & Tsipouras, M. G. (2019) · Health and Technology

EEG and Brain-Computer InterfacesEpilepsy research and treatment

Cited by 109

Wearability Assessment of a Wearable System for Parkinson’s Disease Remote Monitoring Based on a Body Area Network of Sensors

Cancela, J., Pastorino, M., Tzallas, A., Tsipouras, M., Rigas, G., Arredondo, M., & Fotiadis, D. (2014) · Sensors

Wireless Body Area NetworksNon-Invasive Vital Sign Monitoring

Cited by 97

EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions

Tzimourta, K. D., Giannakeas, N., Tzallas, A. T., Astrakas, L. G., Afrantou, T., Ioannidis, P., Grigoriadis, N., Angelidis, P., Tsalikakis, D. G., & Tsipouras, M. G. (2019) · Brain Sciences

EEG and Brain-Computer InterfacesDementia and Cognitive Impairment Research

Cited by 79

Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review

Tzimourta, K. D., Christou, V., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Angelidis, P., Tsalikakis, D., & Tsipouras, M. G. (2021) · International Journal of Neural Systems

EEG and Brain-Computer InterfacesDementia and Cognitive Impairment Research

Cited by 78

A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease

Tsipouras, M. G., Tzallas, A. T., Karvounis, E. C., Tsalikakis, D. G., Cancela, J., Pastorino, M., Waldmeyer, M. T. A., Konitsiotis, S., & Fotiadis, D. I. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 13