Advancing quality and efficiency of care for People living with Parkinson’s

List of Publications from the Team

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Parkinson’s Disease

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  1. Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantzopoulou, S., Katsarou, Z.,& Hadjileontiadis, L. J. (2018). Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson’s disease. Scientific reports, 8(1),1-13.
  2. Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantjopoulou, S., Katsarou,Z., Klingelhoefer, L.,... & Chaudhuri, K. Hadjileontiadis, L. J. (2018). Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson’s Disease Detection From Data Harvested In-the-Wild. Frontiers in ICT, 5, 28.
  3. Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantjopoulou, S., Katsarou,Z., Klingelhoefer, L., Chaudhuri, K.,& Hadjileontiadis, L. J. (2020) Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning. Scientific reports, 10 (1), 1-13
  4. Papadopoulos, A., Iakovakis, D., Klingelhoefer, L., Bostantjopoulou, S., Chaudhuri, K. R., Kyritsis, K., ... & Delopoulos, A. (2020). Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques. Scientific Reports, 10(1), 1-13.
  5. Bikias, T., Iakovakis, D.,Hadjidimitriou, S, Charisis V. and Hadjileontiadis LJ.,DeepFoG: An IMU-based Detection of Freezing-of-Gait Episodes in Parkinson’s Disease Patients via Deep Learning. Front. Robot. AI - Sensor Fusion and Machine Perception 
  6. Laganas, C, Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantzopoulou, S., Katsarou, Z., & Hadjileontiadis, L. J. Parkinson’s Disease Detection Based on Running Speech Data From Phone Calls. IEEE Trans. Biomedical Engineering 
  7. Papadopoulos, A., Kyritsis, K., Klingelhoefer, L., Bostanjopoulou, S., Chaudhuri, K. R., & Delopoulos, A. (2019). Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning. IEEE Journal of Biomedical and Health Informatics, 24(9), 2559-2569.
  8. Kyritsis, K., Fagerberg, P., Ioakimidis, I., Chaudhuri, K., Reichmann, H., Klingelhoefer, L., & Delopoulos, A. (2021). Assessment of real-life eating difficulties in Parkinson’s disease patients by measuring plate-to-mouth movement elongation with inertial sensors. Scientific reports, 11(1), 1-14.
  9. Papadopoulos, A., Kyritsis, K., Bostanjopoulou, S., Klingelhoefer, L., Chaudhuri, R. K., & Delopoulos, A. (2019, July). Multiple-instance learning for in-the-wild Parkinsonian tremor detection. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6188-6191). IEEE.
  10. Fagerberg, P., Klingelhoefer, L., Bottai, M., Langlet, B., Kyritsis, K., Rotter, E., ... & Ioakimidis, I. (2020). Lower energy intake among advanced vs. early Parkinson’s disease patients and healthy controls in a clinical lunch setting: a cross-sectional study. Nutrients, 12(7), 2109.
  11. Kyritsis, K., Fagerberg, P., Ioakimidis, I., Klingelhoefer, L., Reichmann, H., & Delopoulos, A. (2020, July). Using IMU sensors to assess motor degradation of pd patients by modeling in-meal plate-to-mouth movement elongation. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 494-497). IEEE.
  12. Kyritsis, Konstantinos et al. "A data driven end-to-end approach for in-the-wild monitoring of eating behavior using smartwatches." IEEE Journal of Biomedical and Health Informatics 25.1 (2020): 22-34.
  13. Papapanagiotou, Vasileios, et al. "Automatic analysis of food intake and meal microstructure based on continuous weight measurements." IEEE journal of biomedical and health informatics 23.2 (2018): 893-902.
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Mild Cognitive impairment

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  1. Ntracha, A., Iakovakis, D., Hadjidimitriou, S., Charisis, V., Tsolaki, M., & Hadjileontiadis, L. J. (2020). Detection of Mild Cognitive Impairment through natural language and touchscreen typing processing. Frontiers in Digital Health, 2, 19.
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Depression

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  1. Mastoras, R. E., Iakovakis, D., Hadjidimitriou, S., Charisis, V., Kassie, S., Alsaadi,T., & Hadjileontiadis, L. J. (2019). Touchscreen typing pattern analysis for remote detection of the depressive tendency. Scientific reports, 9(1), 1-12
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Orthostatic Hypotension 

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  1. Iakovakis, D., Papadopoulou, F. A.,& Hadjileontiadis, L. J. (2016). Fuzzy logic-based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities. Healthcare technology letters,3(4), 263-268.
  2. Iakovakis, D., L Hadjileontiadis (2016). Standing hypotension prediction based on smartwatch heart rate variability data: a novel approach. Proceedings of the 18th International Conference on Human-Computer Interaction. 

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