Auditory brainstem response (ABR) audiometry is well known tools for detection of hearing loss. It is a neurologic test of ABR in response to the stimuli such as click sound, tone burst or chirp. The non-invasive electrodes are used to obtain the ABR signals. In ABR, wave V of the ABR signals is used as indicator of hearing loss because it is the most dominant and robust peak wave. In current device, there are about 2000 sweeps of the ABR signals have to be averaged in order to get the meaningful signal which required about 4 minutes for one single stimulation level, which is consumed a lot of time. Therefore it is compulsory to have a fast detection method to reduce the recording time. Several types of signal processing techniques have bee...
The auditory brainstem response is an evoked potential (BAEP) commonly used to study auditory functi...
The goal of this study was to develop an automated auditory brainstem response (ABR) peak identifica...
In this paper we describe an algorithm for automated peaktrough labelling of the auditory brainstem ...
Multiresolutional wavelet analysis of the auditory brainstem response (ABR) in the time frequency do...
The aim of this study is to analyse an effective wavelet method for denoising and tracking temporal ...
The cortical pyramidal neurons in the cerebral cortex, which are positioned perpendicularly to the b...
In this paper, we describe an algorithm that automatically detects and labels peaks I-VII of the nor...
Auditory brainstem response (ABR) evaluation has been one of the most reliable methods for evaluatin...
Auditory brainstem response (ABR) is an electrophysiological response in the electroencephalogram (E...
In this paper, we describe an algorithm that automatically detects and labels peaks I - VII of the n...
Objectives: The result of auditory brainstem response is used worldwide for detecting hearing impair...
Objective: to evaluate and compare the specificity, sensitivity and detection time of various time-d...
The analysis of auditory brainstem responses (ABRs) is accepted to be the most reliable method for t...
This paper presents a novel system for automatic recognition of auditory brainstem responses (ABR) t...
The new method of automatic determination the I, III and V waves of Auditory Brainstem Responses is ...
The auditory brainstem response is an evoked potential (BAEP) commonly used to study auditory functi...
The goal of this study was to develop an automated auditory brainstem response (ABR) peak identifica...
In this paper we describe an algorithm for automated peaktrough labelling of the auditory brainstem ...
Multiresolutional wavelet analysis of the auditory brainstem response (ABR) in the time frequency do...
The aim of this study is to analyse an effective wavelet method for denoising and tracking temporal ...
The cortical pyramidal neurons in the cerebral cortex, which are positioned perpendicularly to the b...
In this paper, we describe an algorithm that automatically detects and labels peaks I-VII of the nor...
Auditory brainstem response (ABR) evaluation has been one of the most reliable methods for evaluatin...
Auditory brainstem response (ABR) is an electrophysiological response in the electroencephalogram (E...
In this paper, we describe an algorithm that automatically detects and labels peaks I - VII of the n...
Objectives: The result of auditory brainstem response is used worldwide for detecting hearing impair...
Objective: to evaluate and compare the specificity, sensitivity and detection time of various time-d...
The analysis of auditory brainstem responses (ABRs) is accepted to be the most reliable method for t...
This paper presents a novel system for automatic recognition of auditory brainstem responses (ABR) t...
The new method of automatic determination the I, III and V waves of Auditory Brainstem Responses is ...
The auditory brainstem response is an evoked potential (BAEP) commonly used to study auditory functi...
The goal of this study was to develop an automated auditory brainstem response (ABR) peak identifica...
In this paper we describe an algorithm for automated peaktrough labelling of the auditory brainstem ...