The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform

  • Edo Bagus Prastika Electronic Engineering Polytechnic Institute of Surabaya (EEPIS)
  • Agus Indra Gunawan Electronic Engineering Polytechnic Institute of Surabaya (EEPIS)
  • Bima Sena Bayu Dewantara Electronic Engineering Polytechnic Institute of Surabaya (EEPIS)
  • Chandra Edy Prianto Electronic Engineering Polytechnic Institute of Surabaya (EEPIS)
Keywords: Ultrasonic, Echo, Conversion Curve, Wavelet, Acoustic Impedance


Ultrasonic technology has already been used for many applications. Most of them are mainly used for object measurement. Some techniques have been widely applied to particular measurement by utilizing a very specific component. In this research, the previous technique to develop a conversion curve to obtain the acoustic impedance of the target is adopted. Then, we propose a 3 MHz concave shaped ultrasonic transducer for measuring liquids and a confirmation is needed to confirm if the system used is correct. Therefore, several saline solutions which property has been known are used. A low voltage of 10 Volt pulse is used to trigger the transducer. The ultrasonic wave is then transmitted through the multilayered mediums, which is pure water, clear acrylic, and the target. The echo from the interface between the acrylic and the target is then received by the same transducer. Some parameters such as peak and RMS are used to develop the conversion curve. A peak detection and comparison between the original echo and the processed one by using Wavelet transform (UWT and DWT) is then performed. Some analysis of the echo signal by using multiresolution and time-frequency analysis is also proposed. The result obtained from the measurement is then compared to that from the theoretical calculation. Based on the result, in terms of developing the calibration graph, only the RMS value (UWT) which has the closest trend to the result of the calculation, with the mean percentage error of 0.65512%, which is the smallest value among all parameters.


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A. I. Gunawan, N. Hozumi, Numerical Analysis of Ultrasound Propagation and Reflection Intensity for Biological Acoustic Impedance Microscope, Elsevier, Ultrasonics Journal, Vol. 61, No. 4, pp. 102-110, 2015.

A. Nakano, T. Uemura, Non-contact Observation of Cultured Cells by Acoustic Impedance Microscope, IEEE International Ultrasonic Symposium Proceedings, pp. 1893 – 1896, 2008.

N. Hozumi, A. I. Gunawan, Sound Field Analysis for Biological Acoustic Impedance Microscope for Its Precise Calibration, IEEE International Ultrasonics Symposium (IUS), pp. 1212 – 1215, 2013.

A. I. Gunawan, B. S. B. Dewantara, Characterizing Acoustic Impedance of Several Saline Solutions Utilizing Range Finder Ultrasonic Sensor, IEEE International Electronics Symposium on Engineering Technology and Applications (IES-ETA), pp. 212 – 216, 2017.

A. I. Gunawan, Y. Saijo, Acoustic Impedance Estimation Using Calbiration Curve for Scanning Acoustic Impednace Microscope, International Conference on Knowledge Creation and Intelligent Computing (KCIC), pp. 240 – 245, 2016.

A. I. Gunawan, N. Hozumi, Projection Mode Ultrasonic Microscopy for Cell-size Observation, IEEE International Ultrasonics Symposium (IUS), pp. 884 – 887, 2013.

N. Hozumi, A. Kimura, Acoustic Impedance Micro-Imaging for Biological Tissue Using a Focused Acoustic Pulse With a Frequency Range up to 100 MHz, IEEE Ultrasonics Symposium, Vol. 1, pp. 170 – 173, 2005.

N. Hozumi, S. Yoshida, Observation of Rat Brain Tumor Model and Its Quantitative Analysis by Acoustic Impedance Microscopy, IEEE International Ultrasonics Symposium, pp. 2372 – 2375, 2012.

N. Hozumi, A. Nakano, Precise Calibration for Biological Acoustic Impedance Microscope, IEEE Ultrasonics Symposium Proceedings, pp. 801 - 804, 2007.

A. Abbate, J. Koay, Signal Detection and Noise Suppression Using a Wavelet Transform Signal Processor : Application to Ultrasonic Flaw Detection, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 44, pp. 14 – 26, 1997.

X. Zhu, J. Kim, Application of Analytic Wavelet Transform to Analysis of Highly Impulsive Noises, Elsevier, Journal of Sound and Vibration, Vol. 294, No. 4, pp. 841 – 855, 2006.

N. Akshay, N. A. V. Jonnabhotta, ECG Noise Removal and QRS Complex Detection Using DWT, IEEE International Conference on Electronics and Information Engineering, Vol. 2, No. 2, pp. V2-438 – V2-442, 2010.

V. N. P. Raj, T. Venkateswarlu, ECG Signal Denoising Using Undecimated Wavelet Transform, IEEE 3rd International Conference on Electronics Computer Technology, Vol. 3, pp. 94 – 98, 2011.

Z. Yu, C. Zhao, Application of the Wavelet Transform in Ultrasonic Echo Signal Processing, IEEE Second International Workshop on Computer Science and Engineering, Vol. 1, pp. 576 – 579, 2009.

Herlinawati, U. Murdika, Ultrasonic Signal Denoising Based on Wavelet Haar Decomposition Level, IEEE 3rd International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), pp. 89 – 94, 2016.

J. L. S. Emeterio, M. A. Rodriguez-Hernandez, Wavelet Denoising of Ultrasonic A-Scans for Detection of Weak Signals, IEEE 19th International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 48 – 51, 2012.

M. K. A. Hassan, K. Nagamune, Wavelet Decomposition Processing Method : Cortical Bone Thickness Measurement Using Ultrasound Sensor, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3941 – 3945, 2014.

K. Elmansouri, R. Latif, Efficient Fetal Heart Rate Extraction Using Undecimated Wavelet Transform, IEEE Second World Conference on Complex Systems (WCCS), pp. 696 – 701, 2014.

M. S. Fathillah, R. Jaafar, Interictal Epileptic Discharge EEG Detection Based on Wavelet and Multiresolution Analysis, IEEE International Conference on System Engineering and Technology (ICSET), pp. 140 – 144, 2017.

N. I. Coorperation, Wavelet and Filter Bank Design Toolkit Reference Manual, National Instrument, Ed. January, 1997.

A. M. Gaouda, M. M. A. Salama, Power Quality Detection and Classification Using Wavelet-Multiresolution Signal Decomposition, IEEE Transactions on Power Delivery, Vol. 14, No. 4, pp. 1469 – 1476,

How to Cite
Prastika, E. B., Gunawan, A. I., Bayu Dewantara, B. S., Hozumi, N., & Prianto, C. E. (2018). The Enhancement of 3 MHz Ultrasonic Echo Signal for Conversion Curve Development for Acoustic Impedance Estimation by Using Wavelet Transform. EMITTER International Journal of Engineering Technology, 6(1), 105-123.