We are thrilled to announce that University of Patras had participated at the 3rd International Workshop on Mobile4Medicine: Mobile Systems and Pervasive Computing for Personalized Medicine.
The paper “Real Time Estimation of Energy Expenditure during Physical Activity Using Ensemble Methods” has been published at “Procedia Computer Science” Journal as part of the Special Issue “19th International Conference on Future Networks and Communications/ 21st International Conference on Mobile Systems and Pervasive Computing/14th International Conference on Sustainable Energy Information Technology”, by ELSEVIER.
The authors: Ioannis Prokopakisa , John Gialelisa, Grigorios Protopsaltis and its respective DOI is the following: https://doi.org/10.1016/j.procs.2024.08.084
The abstract and the keywords can be found below.
Abstract
Energy Expenditure (EE) estimation is crucial in health monitoring, as well as in fitness and athletic performance. Monitoring energy expenditure is a key aspect of weight management for individuals while athletes need to optimize their energy intake and expenditure to maximize efficiency in training and recovery. It is a widely researched subject and, depending on the setting, is commonly measured either by direct/indirect calorimetry or with algorithms largely based on heart rate tracking and/or movement tracking using accelerometers. The approach presented here utilizes heart rate, 3-axis acceleration data and breathing rate produced by Zephyr BioHarnessTM, as well as demographic information to produce an accurate (R2 = 95.7%, RMSE = 0.01 Kcal/s) real time EE estimation during walking and running. This methodology could be generalized to other activities using other transmit capable ergo physiological monitoring devices.
Keywords: Energy expenditure, Physical activity, Real time estimation You can reach the full paper following this link: https://www.sciencedirect.com/science/article/pii/S1877050924017952?via%3Dihub