Showing results (31-40 of 45) with videos related to
Sort By:
Pageof 5
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
The SPLENDID chewing detection challengeVasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, et al.Scientific Reports|January 16, 2021
Assessment of real life eating difficulties in Parkinson's disease patients by measuring plate to mouth movement elongation with inertial sensorsKonstantinos Kyritsis, Petter Fagerberg, Ioannis Ioakimidis, et al.Studies in Health Technology and Informatics|May 20, 2008
Association studies on cervical cancer facilitated by inference and semantic technologies: the assist approachPericles Mitkas, Vassilis Koutkias, Andreas Symeonidis, et al.JMIR Mhealth and Uhealth|September 6, 2018
The SPLENDID Eating Detection Sensor: Development and Feasibility StudyJanet van den Boer, Annemiek van der Lee, Lingchuan Zhou, et al.JMIR Mhealth and Uhealth|July 25, 2020
Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability StudyBilly Langlet, Christos Maramis, Christos Diou, et al.Nutrients|March 23, 2019
Predicting Real-Life Eating Behaviours Using Single School Lunches in AdolescentsBilly Langlet, Petter Fagerberg, Anastasios Delopoulos, et al.Nutrients|July 26, 2020
Lower Energy Intake among Advanced vs. Early Parkinson's Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional StudyPetter Fagerberg, Lisa Klingelhoefer, Matteo Bottai, et al.Nutrients|May 16, 2020
Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in GreeceAthanasia Tragomalou, George Moschonis, Yannis Manios, et al.Scientific Reports|December 8, 2020
Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniquesAlexandros Papadopoulos, Dimitrios Iakovakis, Lisa Klingelhoefer, et al.Cancer Informatics|May 22, 2009
Semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approachTheodoros Agorastos, Vassilis Koutkias, Manolis Falelakis, et al.Pageof 5