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This paper describes the development of a sport watch, as well as the software and hardware required to design an integrated solution for getting feedback during and after walking and running activities. The developed system is autonomous, so that neither a smartphone nor a computer are necessary for configuration. The user controls the watch via a touch-screen based interface and all the relevant...
Automatic fall detection will reduce the consequences of falls in the elderly and promote independent living, ensuring people can confidently live safely at home. Inertial sensor technology can distinguish falls from normal activities. However, <7% of studies have used fall data recorded from elderly people in real life. The FARSEEING project has compiled a database of real life falls from elderly...
Fall prevention in elderly subjects is often based on training and rehabilitation programs that include mostly traditional balance and strength exercises. By applying such conventional interventions to improve gait performance and decrease fall risk, some important factors are neglected such as the dynamics of the gait and the motor learning processes. The EU project "Self Mobility Improvement...
Changes in turning are one of the early motor deficiencies in Parkinson's disease (PD). We have proposed a system based on wearable, inertial sensors and a novel automatic analysis algorithm that can assess 180deg turns. Twelve patients in early stages of PD and 14 age-matched healthy subjects were enrolled in this study. Inertial sensors were attached on shanks and sternum. Measurement protocol included...
Many studies have shown the efficacy of orientation and three-dimensional joint angle measurement for patient evaluation or rehabilitation purposes. But currently, the use of these systems for routine practice is questionable. The commercially available devices are generally too expensive and complicated-to-use. This study proposed the fusion between two affordable types of orientation measuring systems,...
This paper addresses the source separation in strong noisy mixtures by using wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non-Gaussian noise, which correspond to various applications. The performance of BSS/ICA algorithms after wavelet de-noising is quantitatively investigated, and points out the efficiency of the method.
A non Invasive sensor for measuring both the respiration and cardiac rates on small mammals is described. This sensor, designed as a belt, involves four piezoelectric films (PVDF) devoted to measuring the pressure changes at several points of the thoracic cage. This paper focuses on mechanical design as well as theoretical and practical responses of the sensors developed. An experimental result, carried...
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