Rome: November 21st, 2018

Research Activities @ BioLab3


You looked into tags for inertial, these are the results:

Publications on International Journals
C. Caramia, D. Torricelli, M. Schmid, A. Munoz, J. Gonzalez, F. Grandas, J. Pons. IMU-based Classification of Parkinson's Disease from Gait: a Sensitivity Analysis on Sensor Location and Feature Selection. IEEE Journal of Biomedical and Health Informatics, : , 2018
C. Caramia, I. Bernabucci, C. D'Anna, C. De Marchis, M. Schmid. Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort. PLoS One, 12(10): e0185825, 2017
B. Fida, I. Bernabucci, D. Bibbo, S. Conforto, M. Schmid. Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometer. Medical Engineering and Physics, 37(7): 705-711, 2015
B. Fida, I. Bernabucci, D. Bibbo, S. Conforto, M. Schmid. Pre-processing effect on the accuracy of event-based activity segmentation and classification through inertial sensors. Sensors, 15(9): 23095-23109, 2015
M. Schmid, F. Riganti-Fulginei, I. Bernabucci, A. Laudani, D. Bibbo, R. Muscillo, A. Salvini, S. Conforto. SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds. Computational and Mathematical Methods in Medicine, 2013: Article ID 343084, 2013
R. Muscillo, S. Conforto, M. Schmid, T. D'Alessio. Minimizing the Set Up for ADL Monitoring through DTW Hierarchical Classification on Accelerometer Data. WSEAS Transactions on biology and biomedicine, 3(5): 47-53, 2008
Contributions appeared on Proceedings of International Conferences
C. Caramia, I. Bernabucci, C. D'Anna, C. De Marchis, M. Schmid. Gait ratios and variability indices to quantify the effect of using smartphones in dual-task walking. World Congress on Medical Physics and Biomedical Engineering 2018 , Prague, Czech Republic: June 3-7, 2018
C. Caramia, I. Bernabucci, C. D'Anna, C. De Marchis, A. Scorza, , M. Schmid. Wavelet-based detection of gait events from inertial sensors: analysis of sensitivity to scale choice. IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy: June 11-13, 2018
C. Caramia, C. De Marchis, M. Schmid. Differentiating the effects of motor and cognitive dual-tasks on gait performance of young healthy subjects. International Conference on NeuroRehabilitation 2018, Pisa, Italy: October 14-16, 2018
C. Caramia, I. Bernabucci, S. Conforto, C. De Marchis, A. Proto, M. Schmid. Spatio-temporal gait parameters as estimated from wearable sensors placed at different waist levels. IEEE Conference on Biomedical Engineering and Sciences (IECBES), Kuala Lumpur (Malysia): December 4-8, 2016
B. Fida, D. Bibbo, I. Bernabucci, A. Proto, S. Conforto, M. Schmid. Real time event-based segmentation to classify locomotion activities through a single inertial sensor. 5th EAI International Conference on Wireless Mobile Communication and Healthcare, London, UK: October 14-16, 2015
B. Fida, I. Bernabucci, D. Bibbo, S. Conforto, A. Proto, M. Schmid. The effect of window length on the classification of dynamic activities through a single accelerometer. The 11th IASTED International Conference on Biomedical Engineering (BioMed 2014), Zurich, Switzerland: June 23-25, 2014
R. Muscillo, G. Severini, M. Schmid, T. D'Alessio. Distinguishing among different lower limb physical activities through a Bayes' classifier applied on features extracted from single-axis accelerometer data. ISPGR 19th conference, Bologna, Italy: June 21-25, 2009
F. Draicchio, R. Muscillo, A. Silvetti, R. Don, M. Schmid, T. D'Alessio, G. Sandrini, M. Bartolo, F. Amici, S. Iavicoli, A. Ranavolo. Global biomechanical evaluation during workand daily-life activities. 17th World Congress on Ergonomics (IEA) , Beijing, China: August 9-14, 2009
R. Muscillo, D. Bibbo, M. Schmid. A combination of template matching and Bayesian estimation to detect and classify activities of daily living. 19th International Conference BIOSIGNAL, Brno, Czech Republic: June 29 - July 1, 2008
R. Muscillo, S. Conforto, M. Schmid, T. D'Alessio. A hierarchical classifier to monitor ADL through dynamic programming on dual-axis accelerometer data. Proceedings of the 3rd WSEAS International Conference on REMOTE SENSING (REMOTE '07), Venice, Italy: 63-67, 2007
R. Muscillo, S. Conforto, M. Schmid, P. Caselli, T. D'Alessio. Classification of Motor Activities through Derivative Dynamic Time Warping applied on Accelerometer Data. Proceedings of the 29th IEEE-EMBS Conference, Lyon, France: August 23-26, 2007
P. Caselli, D. Bibbo, M. Schmid, and T. D'Alessio. A wireless intelligent sensor for real time ADL monitoring. XVI International Society of Electrophysiology and Kinesiology ISEK Congress, Torino, Italy: June 29 -July 1, 2006
P. Caselli, D. Bibbo, M. Schmid, and T. D'Alessio. A novel integrated system for patient home monitoring. XVI International Society of Electrophysiology and Kinesiology ISEK Congress, Torino, Italy: June 29 -July 1, 2006
P. Caselli, E. Piferi, D. Bibbo, S. Conforto. Elaboration of a minimum number of accelerometric signals for activity monitoring. 6th SIAMOC congress, Tirrenia (PI), Italy: October 26-29, 2005