Connection Points

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

Dimitrios Iakovakis, PhD

CTO

797

Citations

16

h-index

20

i10-index

Expertise

Biomedical EngineeringHuman Computer InteractionMachine LearningDigital Health

Key Research Areas

Parkinson's DiseaseDepressionMotor Impairment Analysis

Most Cited Paper

Touchscreen typing pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease

201892 citations
Vasileios Papapanagiotou, PhD

Vasileios Papapanagiotou, PhD

Ass. Professor @KI

470

Citations

13

h-index

18

i10-index

Expertise

Digital Signal ProcessingMachine LearningWearable SensorsEating Behavior Analysis

Key Research Areas

Eating BehaviorWearable SensorsDigital Biomarkers

Most Cited Paper

A novel chewing detection system based on ppg, audio, and accelerometry

201689 citations
Konstantinos Kyritsis, PhD

Konstantinos Kyritsis, PhD

CEO

541

Citations

13

h-index

16

i10-index

Expertise

Signal ProcessingMachine LearningSensorsBehavioral ModelingComputer Vision

Key Research Areas

Eating Behavior AnalysisParkinson's DiseaseIMU Sensors

Most Cited Paper

Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning

201981 citations
Prof. MD Gaëtan Garraux

Prof. MD Gaëtan Garraux

Neurology Professor @CHU Liege

5473

Citations

43

h-index

71

i10-index

Expertise

Movement DisordersNeurologyClinical ResearchParkinson's Disease

Key Research Areas

Clinical NeurologyMovement DisordersNeuroimaging

Most Cited Paper

Brain energy metabolism and dopamine function in Parkinson's disease

2017245 citations
Gregor Strobbe, PhD

Gregor Strobbe, PhD

Advisor

639

Citations

13

h-index

16

i10-index

Expertise

EEGMRIBiomarkersEntrepreneurship

Key Research Areas

Health TechnologyDigital TransformationHealthcare Solutions

Most Cited Paper

Digital health solutions for improved patient care and monitoring

2020125 citations
Lampros Kourtis, PhD

Lampros Kourtis, PhD

Advisor

1828

Citations

23

h-index

37

i10-index

Expertise

Digital BiomarkersAlzheimer's DiseaseWearable Technology

Key Research Areas

Digital MedicineCognitive ImpairmentMedical Devices

Most Cited Paper

Digital biomarkers for Alzheimer's disease: the mobile/wearable devices opportunity

2019359 citations

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

2018

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

2018

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

2020

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

2020

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

2021

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

2022

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

2019

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

2021

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

2020

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

2019

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

Citations: 892016

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)

Citations: 372017

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

Citations: 252018

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

Citations: 242018

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

2016

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

2016