Abstract
Problem statement: ABR machine is a well known machine that has been used on detection of hearing problem especially for babies or children. In ABR, wave V is the most prominent and robust wave that has been used as indicator of hearing loss. However, a fast detection of the wave V is necessary in order to implement newborn hearing screening. There are various types of signal processing methods introduced by researchers in order to achieve the target. Fast Fourier Transform (FFT) and wavelet transform are well known techniques that have been used in digital signal processing. Approach: In this study, the instantaneous energy of ABR signal had been introduced as a marker to identify the ABR waves. Results: Study showed that the instantaneous energy of auditory brainstem response can be used a marker to identify the ABR waves. Conclusion: This study had proposed a platform for fast hearing screening system.
Highlights
Hearing screening: Is an essential test to detect someone’s hearing ability
Delgado and Ozdamar[18], mentioned that results of spectral analysis, spectral filtering and fibertract modeling of Auditory Brainstem Response (ABR) were used to determine the most suitable filters to detect the position of the various peaks. These analyses revealed general trends in ABR composition from one intensity to another and were used to write labeling rules[18]
Instantaneous energy technique has previously been employed in other applications of ECG and heart sound signal processing, such as heart sound segmentation[28]
Summary
Hearing screening: Is an essential test to detect someone’s hearing ability. One of the most common neurosensory handicaps in newborns and children is congenital hearing loss[1,2]. There are two types of hearing test that are commonly used to screen congenital hearing loss; Otoacoustic Emissions (OAEs) and Auditory Brainstem Response (ABR). Newborn hearing screening has been introduced in a ABR recording system: In 1984, an automated electric response audiometry recording system has been developed[7]. It uses Nascom 2, an 8 bit microcomputer with a Z80A processor running at 4 MHz, 32 KB RAM and 8 input/output ports, 12 bit analog to digital converter, low noise differential amplifier, optically isolated amplifier and DC to DC converter. Instantaneous energy technique has previously been employed in other applications of ECG and heart sound signal processing, such as heart sound segmentation[28]
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