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Brand-new algorithm for ABR (auditory brainstem response) signal crest detection

A wave peak and algorithm technology, applied in the detection field, can solve problems such as inconvenient diagnosis

Inactive Publication Date: 2011-10-19
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

However, these detection methods are mainly suitable for the estimation of the auditory threshold, and can only detect a limited number of peaks, such as only I, III, V waves with relatively stable amplitudes and latencies, or sometimes detected V waves are It turns out that the superposition of IV and V waves will inevitably bring great inconvenience to clinical diagnosis.

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  • Brand-new algorithm for ABR (auditory brainstem response) signal crest detection
  • Brand-new algorithm for ABR (auditory brainstem response) signal crest detection
  • Brand-new algorithm for ABR (auditory brainstem response) signal crest detection

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Embodiment Construction

[0013] A brand new algorithm for ABR signal peak detection, including the following steps:

[0014] 1. Denoising of the original ABR signal:

[0015] The acquired original ABR signal was denoised by superposition averaging technology, that is, N times of stimulation were applied, the discretized data was adjusted to align with the time when each stimulation appeared, and then the average value was taken. That is, these ABR signals obtained by using the superposition and averaging method are based on the following assumptions:

[0016] a) Under the same stimulus, the waveform of the brain-evoked response signal remains unchanged, that is, the response signal is a deterministic signal.

[0017] b) The background noise is random and can be eliminated by multiple superposition. And, its relationship with the ABR signal is f(t)=s(t)+n(t), where s(t) is the real ABR signal (without noise), n(t) is the background noise, f (t) is the measurement data (ABR signal + noise). Under su...

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Abstract

The invention relates to a brand-new algorithm for ABR (auditory brainstem response) signal crest detection. A superposition average technology is adopted to denoise an acquired original ABR signal, then automatic identification is carried out on crest detection of an ABR wave, no matter whether the ABR signal is a sensation level signal or a hearing level signal, all the crests in a wave form can be easily and accurately detected by adopting the method, each ABR subwave can be independently analyzed, and effective ABR parameters are provided for hearing threshold evaluation and surgical operation monitoring.

Description

technical field [0001] The invention relates to a detection technology, in particular to a brand-new algorithm for ABR signal peak detection. Background technique [0002] Brainstem auditory evoked potential (ABR) is one of the most widely used auditory evoked potentials in clinical practice. ABR is the bioelectrical activity of the brainstem and pre-brainstem auditory nerve pathways. It induces a series of potentials within 10 ms of latency after short-sound stimulation, which belongs to short-latency evoked potentials. Seven positive phase waves can be recorded in adults, usually represented by Roman numerals Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ, Ⅵ, Ⅶ, among which Ⅰ, Ⅲ, Ⅴ waves are the most obvious. These waves reflect the subject's hearing threshold and the degree of hearing damage with a definite latency and uncertain amplitude, or are used to observe the auditory nerve status in real time. In the application of auditory threshold assessment, we need to automatically identify ABR waveforms t...

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Application Information

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IPC IPC(8): A61B5/04
Inventor 高瑞静孙迎李越囡
Owner UNIV OF SHANGHAI FOR SCI & TECH
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