Related Experiment Video
Updated: Jan 20, 2026

Measurement of Bioelectric Current with a Vibrating Probe
Published on: January 4, 2011
Methods of Measuring and Processing Signals during Tests of the Exposure of a Motorcycle Driver to Vibration and
Tomasz Figlus1, Piotr Szafraniec1, Tomáš Skrúcaný2
1Faculty of Transport, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland.
Abstract:
The paper presents a new method of measuring a motorcycle driver's exposure to vibration and noise. This method uses the simultaneous measurement of vibration and noise at the points of their direct influence on the motorcycle driver, and the measurement is carried out in real traffic conditions. The vibration of the motorcycle's handlebars, footrest and seat as well as the noise reaching the beginning of the motorcyclist's ear canal are recorded. These signals correspond to the direct impact of vibration energy on the upper and lower limbs as well as the torso of a motorcycle driver and the acoustic energy reaching the motorcyclist's hearing organs. The paper also proposes a signal processing method which enables determination of vibroacoustic effects on the motorcyclist without frequency correction of signals and with taking into account the current standards, and therefore with the use of appropriate frequency corrections. The measurement section of the paper presents examples of results of measurements of the actual exposure of the motorcycle driver to vibration and noise.
Related Concept Videos
07:28Measurement of Bioelectric Current with a Vibrating Probe
09:37Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
04:16Whole Body Vibration Methods with Survivors of Polio
07:53Bioindication Testing of Stream Environment Suitability for Young Freshwater Pearl Mussels Using In Situ Exposure Methods
07:06Wicking Tests for Unidirectional Fabrics: Measurements of Capillary Parameters to Evaluate Capillary Pressure in Liquid Composite Molding Processes
07:15Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

