Our Publications
Our research focuses on developing innovative digital biomarkers and AI-enabled solutions for various neurological and mental health conditions.
Team Research Impact

Dimitrios Iakovakis, PhD
CTO
797
Citations
16
h-index
20
i10-index
Expertise
Key Research Areas
Most Cited Paper
Touchscreen typing pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease

Vasileios Papapanagiotou, PhD
Ass. Professor @KI
470
Citations
13
h-index
18
i10-index
Expertise
Key Research Areas
Most Cited Paper
A novel chewing detection system based on ppg, audio, and accelerometry

Konstantinos Kyritsis, PhD
CEO
541
Citations
13
h-index
16
i10-index
Expertise
Key Research Areas
Most Cited Paper
Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning

Prof. MD Gaëtan Garraux
Neurology Professor @CHU Liege
5473
Citations
43
h-index
71
i10-index
Expertise
Key Research Areas
Most Cited Paper
Brain energy metabolism and dopamine function in Parkinson's disease

Gregor Strobbe, PhD
Advisor
639
Citations
13
h-index
16
i10-index
Expertise
Key Research Areas
Most Cited Paper
Digital health solutions for improved patient care and monitoring

Lampros Kourtis, PhD
Advisor
1828
Citations
23
h-index
37
i10-index
Expertise
Key Research Areas
Most Cited Paper
Digital biomarkers for Alzheimer's disease: the mobile/wearable devices opportunity
Research Areas
Parkinson's Disease
Eating Behavior Analysis
Orthostatic Hypotension
Depression
Mild Cognitive Impairment
Parkinson's Disease
Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease
Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantzopoulou, S., Katsarou, Z., & Hadjileontiadis, L. J.
Scientific reports, 8(1), 1-13
Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild
Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantjopoulou, S., Katsarou, Z., Klingelhoefer, L., ... & Chaudhuri, K. Hadjileontiadis, L. J.
Frontiers in ICT, 5, 28
Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning
Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantjopoulou, S., Katsarou, Z., Klingelhoefer, L., Chaudhuri, K., & Hadjileontiadis, L. J.
Scientific reports, 10(1), 1-13
Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques
Papadopoulos, A., Iakovakis, D., Klingelhoefer, L., Bostantjopoulou, S., Chaudhuri, K. R., Kyritsis, K., ... & Delopoulos, A.
Scientific Reports, 10(1), 1-13
DeepFoG: An IMU-based Detection of Freezing-of-Gait Episodes in Parkinson's Disease Patients via Deep Learning
Bikias, T., Iakovakis, D., Hadjidimitriou, S, Charisis V. and Hadjileontiadis LJ.
Front. Robot. AI - Sensor Fusion and Machine Perception
Parkinson's Disease Detection Based on Running Speech Data From Phone Calls
Laganas, C, Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantzopoulou, S., Katsarou, Z., & Hadjileontiadis, L. J.
IEEE Trans. Biomedical Engineering
Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning
Papadopoulos, A., Kyritsis, K., Klingelhoefer, L., Bostanjopoulou, S., Chaudhuri, K. R., & Delopoulos, A.
IEEE Journal of Biomedical and Health Informatics, 24(9), 2559-2569
Assessment of real-life eating difficulties in Parkinson's disease patients by measuring plate-to-mouth movement elongation with inertial sensors
Kyritsis, K., Fagerberg, P., Ioakimidis, I., Chaudhuri, K., Reichmann, H., Klingelhoefer, L., & Delopoulos, A.
Scientific reports, 11(1), 1-14
Mild Cognitive Impairment
Detection of Mild Cognitive Impairment through natural language and touchscreen typing processing
Ntracha, A., Iakovakis, D., Hadjidimitriou, S., Charisis, V., Tsolaki, M., & Hadjileontiadis, L. J.
Frontiers in Digital Health, 2, 19
Depression
Touchscreen typing pattern analysis for remote detection of the depressive tendency
Mastoras, R. E., Iakovakis, D., Hadjidimitriou, S., Charisis, V., Kassie, S., Alsaadi, T., & Hadjileontiadis, L. J.
Scientific reports, 9(1), 1-12
Eating Behavior Analysis
A novel chewing detection system based on ppg, audio, and accelerometry
V Papapanagiotou, C Diou, L Zhou, J Van Den Boer, M Mars, I Ioakimidis
IEEE journal of biomedical and health informatics 21 (3), 607-618
Chewing detection from an in-ear microphone using convolutional neural networks
V Papapanagiotou, C Diou, A Delopoulos
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Control of eating behavior using a novel feedback system
M Esfandiari, V Papapanagiotou, C Diou, M Zandian, J Nolstam, I Södersten
Journal of visualized experiments: JoVE, 57432
Automatic analysis of food intake and meal microstructure based on continuous weight measurements
V Papapanagiotou, C Diou, I Ioakimidis, P Södersten, A Delopoulos
IEEE journal of biomedical and health informatics 23 (2), 893-902
Orthostatic Hypotension
Fuzzy logic-based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities
Iakovakis, D., Papadopoulou, F. A., & Hadjileontiadis, L. J.
Healthcare technology letters, 3(4), 263-268
Standing hypotension prediction based on smartwatch heart rate variability data: a novel approach
Iakovakis, D., L Hadjileontiadis
Proceedings of the 18th International Conference on Human-Computer Interaction