| Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
|---|---|---|
| Article Number | 11024 | |
| Number of page(s) | 4 | |
| Section | Electrical Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201819711024 | |
| Published online | 12 September 2018 | |
Electret condenser microphone as a traditional Chinese medicine arterial pulse sensor
1
University of Brawijaya, Department of Electrical Engineering, Jl. M. T. Haryono 167, Malang, Indonesia
2
State Polytechnic of Malang, Department of Electrical Engineering, Jl. Soekarno - Hatta 9, Malang - Indonesia
3
University of Brawijaya, Department of Physics, Jl. Veteran, Malang - Indonesia
* Corresponding author: erni@ub.ac.id
Arterial pulse signal reading by a therapist in Traditional Chinese Medicine (TCM) requires considerable experience and thoroughness. The interpretation resulted by the therapist is very subjective. The objectivity of the device can be achieved by increasing the accuracy and the consistency of the reading in the range of 1-2 Hz. An electret condenser microphone (ECM) can be used as a pulse sensor in such device. This study reveals that ECM performs a number of advantages such as small-sized and inexpensive. Unfortunately, this ECM also picks up mechanical noises during direct contact with the subject. This study proposed soft silicon rubber as a medium between subjects and ECM. The technique was designed to enhance the mechanical coupling between the ECM and the source signal without affecting the signal source. The results show that the ECM could measure the signal of 0.5-10 Hz with the average accuracy of 99,47%.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.