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Dokumenttyp:
Masterarbeit 
Autor(en):
Bachhuber, Christoph 
Titel:
Evaluation of Acceleration Data for Falls Risk Prediction using Classication and Regression Analysis 
Abstract:
Falls are a major problem not only for older adults, but also for health care systems, which have to spend enormous amounts of money in hospitalizations and long-term rehabilitation as result of injurious falls. We aim to assess the risk of falling as easy, accurate and inexpensive as possible to be able to identify those persons at high risk of functional decline and trigger appropriate clinical interventions. A new method are functional assessments with inertial sensors like the actibelt®. We...    »
 
DDC:
610 Medizin und Gesundheit 
Betreuer:
Soaz, Cristina 
Gutachter:
Diepold, Klaus (Prof. Dr.) 
Jahr:
2014 
Monat:
Oct 
Seiten/Umfang:
101 
Sprache:
en 
Hochschule / Universität:
Technische Universität München 
Fakultät:
Fakultät für Elektro- und Informationstechnik 
TUM Einrichtung:
Lehrstuhl für Datenverarbeitung 
Format:
Text