An approach to measure and classify physical fitness without active exercise tests

  • Andreas Oberleitner (Author)
  • Sten Hanke (Author)

Activity: Talk or presentation / LecturePresentation at a scientific conference / workshop

Description

Aim of the study was to classify the physical fitness of a person without exercise tests but by means of dynamic biosignals. Our focus was to develop a hardware set to measure a single-channel electrocardiogram (ECG) and the bioimpedance comfortably and under non-laboratory conditions. The measured bioimpedance leads to the body-fatmass (BFM). Based on the BFM, RR-interval out of the ECG and the calculated body mass index (BMI) the fitness level could be determined. To carry out the fitness classification a set of data has been recorded. To validate the classification the tested persons were asked in a questionnaire about their weekly sporting activity and other statements that are pointing to an objective fitness level.
Period10 Nov 200512 Nov 2005
Event titleÖGBMT Jahrestagung 2005
Event typeConference
Degree of RecognitionInternational

Research Field

  • Not defined

Keywords

  • bioimpedance
  • body-fat-mass
  • body mass index
  • physical fitness