NDLI: Two-point vibrotactile discrimination related to parameters of pulse burst stimulus

Content Provider	Springer Nature Link
Author	Perez, C. A. Holzmann, C. A. Jaeschke, H. E.
Copyright Year	2000
Abstract	Tactile spatial resolution is an important factor in the design of vibrotactile arrays. The two-point discrimination distance is used as a measure of tactile spatial resolution. An experimental study is presented showing the effect of pulse burst stimulus parameters, pulse repetition period and duty cycle on two-point vibrotactile spatial discrimination. An array of piezoceramic vibrators is used to measure two-point spatial discrimination on the index finger. In a group of 14 subjects, the average two-point discrimination distance for a pulse repetition period of 1/25 s is 2.1 mm (SD=1.0), whereas for 1/500 s it is 5.1 mm (SD=0.9). Differences in discrimination distances are statistically significant according to the ANOVA analysis (p<0.001). Results show that the two-point discrimination distance is better for longer pulse repetition periods. Therefore the pulse repetition period in an excitatory waveform composed of bursts of pulses is important for tactile resolution. No statistically significant differences in discrimination distances are found between bursts of pulses of 50% duty cycle and those of lower duty cycle. The latter result indicates that, by choosing low-duty cycle waveforms for vibrotactile stimulation, the power can be reduced with no loss in two-point discrimination capacity.
Starting Page	74
Ending Page	79
Page Count	6
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	38
Issue Number	1
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2000-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Two-point vibrotactile discrimination Vibrotactile resolution Vibrotactile excitation Tactile excitation Tactile parameter optimisation Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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