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Document type:
Masterarbeit 
Author(s):
Bachhuber, Christoph 
Title:
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 
Advisor:
Soaz, Cristina 
Referee:
Diepold, Klaus (Prof. Dr.) 
Year:
2014 
Month:
Oct 
Pages:
101 
Language:
en 
University:
Technische Universität München 
Faculty:
Fakultät für Elektro- und Informationstechnik 
TUM Institution:
Lehrstuhl für Datenverarbeitung 
Format:
Text