Ambulatory mobility characterization using body inertial system: an applicatio to fall detection
The aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day during the patient daily life activities, because it is small, usable and non inv...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2009 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/9914 |
| Acesso em linha: | https://hdl.handle.net/2117/9914 https://dx.doi.org/10.1007/978-3-642-02478-8_30 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Biomedical applications of biotechnology Biotechnology Falls (Accidents) in old age--Prevention Detectors Biotecnologia Caigudes (Accidents) en la vellesa Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors |
| Resumo: | The aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day during the patient daily life activities, because it is small, usable and non invasive. Secondly, we present the system calibration to ensure the quality of the sensors data. Afterwodrs, we focus in the experimental methodology for data harvest from extensive types of falls. Finally a statistical analysis allows us to determine the discriminant information to detect falls. |
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