PUBLICITY / PUBLICATIONS

Smart Insole Flyer

The Smart Insole project released its brochure to inform stakeholders of the project’s aims, partners and contact details.

Smart Insole dataset

The Smart-Insole Dataset v1.0 is available upon request for non-commercial, research and educational purposes only, after the sign of a database usage agreement which establish the terms and conditions of data usage.

Publications in scientific journals

1. Chatzaki C., Skaramagkas V., Tachos N., Christodoulakis G., Maniadi, E., Kefalopoulou, Z., Fotiadis D.I., Tsiknakis M. “The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients”. Sensors 2021, 21, 2821. https://doi.org/10.3390/s21082821

2. Kefalopoulou Z., Chatzaki C., Skaramagkas V., Chroni E., Tachos N., Fotiadis D.I., Tsiknakis M. “Pressure Sensor Insole Gait Assessment for Parkinson’s Disease patients: A pilot study”, Mov Disord. 2022; 37 (suppl 1). https://www.mdsabstracts.org/abstract/pressure-sensor-insole-gait-assessment-for-parkinsons-disease-patients-a-pilot-study/. Accessed November 10, 2022.

3. Samarentsis A. G., Makris G., Spinthaki S., Christodoulakis G., Tsiknakis M., and Pantazis A. K., “A 3D-printed capacitive smart insole for plantar pressure monitoring,” Physical Sensors, 2022.

4. Chatzaki, C.; Skaramagkas, V.; Kefalopoulou, Z.; Tachos, N.; Kostikis, N.; Kanellos, F.; Triantafyllou, E.; Chroni, E.; Fotiadis, D.I.; Tsiknakis, M. Can Gait Features Help in Differentiating Parkinson’s Disease Medication States and Severity Levels? A Machine Learning Approach. Sensors 2022, 22, 9937. https://doi.org/10.3390/s22249937

5. Tsakanikas, V.; Ntanis, A.; Rigas, G.; Androutsos, C.; Boucharas, D.; Tachos, N.; Skaramagkas, V.; Chatzaki, C.; Kefalopoulou, Z.; Tsiknakis, M.; Fotiadis, D. Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data. Sensors 2023, 23, 3902. https://doi.org/10.3390/s23083902

Publications in conferences

1. Spyropoulos D., F. Giannopoulos and C. C. Spandonidis, “Development of a mist computing device for a smart insole aiming on human gait analysis,” 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2022, pp. 1-4, doi: 10.1109/MOCAST54814.2022.9837593.

2. Tsakanikas V.D., Dimopoulos D.G., Tachos N.S., Chatzaki C., Skaramagkas V., Christodoulakis G., Tsiknakis M., Fotiadis D.I.,” Gait and balance patterns related to Free-Walking and TUG tests in Parkinson’s Disease based on plantar pressure data”. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov; 2021:236-239. doi: 10.1109/EMBC46164.2021.9629637.

3. Triantafyllou E., Chatzaki C., Skaramagkas V., Tachos N.S., Fotiadis D.I., Chroni E., Kefalopoulou Z., Tsiknakis M. “Assessment of gait using pressure insoles in patients with Parkinson’s disease: A pilot study“, 33rd Panhellenic Conference of Neurology, Heraklion, Crete, June, 16-19, 2022.

4. Spyropoulos D., F. Giannopoulos and C. C. Spandonidis, “Enhancing Citizens Well-being Using A Gait Monitoring Smart Wearable Device,” in 6th IET Smart Cities Symposium, 2022.

5. Boucharas D., Androutsos C., Gkois G., Tsakanikas V.D., Pezoulas V. C., Manousos D., Skaramagkas V., Chatzaki C., Kontogiannis S., Spandonidis C., Pantazis A. K., Tachos N., Tsiknakis M., and Fotiadis D.I., “Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson’s Disease Patients Based on Insoles”, arXiv 2022