Acquisition of Multiple Physiological Parameters During Physical Exercise

Abstract

This paper describes the experimental method focused on the acquisition of various physiological parameters during different effort levels of physical exercise like walking and running at several velocities. The study involved 57 young and adult people, 43 male and 14 female (24,37±5,96 years), from which 48 were soldiers belonging to the Infantry Regiment n.° 13 (RI13) of the Portuguese Army and 9 were teachers or college students of Sport Sciences, physically active but not competitive. The experimental measures provide a set of information that offers insight about the health status and physical performance of the subjects during exercise. This experimental method procedure is suited for the acquisition of physiological parameters with both the wireless physiological data acquisition systems such as the bioPlux and the respiratory analyzer gas systems such as Cosmed K4b2.The data was collected to allow the definition of a model that will be used to estimate the energy expenditure of a subject using a wireless physiological data acquisition system, which is much more comfortable and suitable to monitor physical exercise in everyday use than the standard method that makes use of a respiratory gas analysis system.

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer

“…This paper explores the method created.previously validated in studies [24,25], in which the value of the energy expenditure is around 300 kcal/h during running. The study [25] involved 57 young and adult people, which were 43 male and 14 female (24.37 ± 5.96 years) submitted to a protocol on increasing treadmill velocities with four levels (Level 1: 5.8 km/h; Level 2: 8.4 km/h; Level 3: 10.3 km/h; Level 4: 11.6 km/h for men and Level 1: 5.1 km/h; Level 2: 7.7 km/h; Level 3: 9.0 km/h and; Level 4: 10.3 km/h for women), each five minutes long [24]. The experimental installation consists of a tri-axial accelerometer connected to the acquisition system, bioPlux, for the acquisition data and a golden standard device, Cosmed K4b2.…”

“…This paper focuses on the research of the existent methods to adapt/create a new method for the estima- tion of the energy expenditure using mobile devices. The estimation of the energy expenditure based on the data captured by several sensors and/or mobile devices has been subject of research studies, from which different solutions were proposed, including the use of metabolic equivalents of tasks (MET) to measure physical activity of people [15], or statistically validated methods using the accelerometer data from a mobile device [24,25]. These data depend on both the subject and the location.…”

“…Thus, the energy expenditure value is determined for each physical activity [18,19,24,25,27,36,45,50,52,56,73] on a time interval manner, instead of the instantaneous energy expenditure method [33].…”

“…This paper describes the process of adaptation based on the study [24,25] where the estimation of the energy expenditure was assessed for accelerometers and electromyography signals against a golden standard. This paper also addresses the validation of a method for the estimation of the energy expenditure during physical activity, implementing this new method in a mobile application, using unobtrusive sensing on mobile devices.…”

CoviHealth

“…The existing mobile applications in the market are mainly related to diet and nutrition, including the measurement of the energy expenditure, the calories intake, the calories needed, and a food database [6,7,[22][23][24]26].…”