Feature extraction in auditory brainstem responses using wavelet decomposition on a moving window of waveform data

2006 ◽  
Author(s):  
G. Lightbody ◽  
P.J. McCullagh ◽  
H.G. McAllister
Keyword(s):  
Feature Extraction ◽  
Wavelet Decomposition ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Moving Window ◽  
Waveform Data

Nonlinear feature extraction for objective classification of complex auditory brainstem responses to diotic perceptually critical consonant-vowel syllables

2016 ◽  
Vol 43 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Amir Salar Jafarpisheh ◽  
Amir Homayoun Jafari ◽  
Mohammadjavad Abolhassani ◽  
Mohammad Farhadi ◽  
Hamed Sadjedi ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Objective Classification ◽  
Nonlinear Feature Extraction ◽  
Nonlinear Feature

The Effect of Kalman-Weighted Averaging and Artifact Rejection on Residual Noise During Auditory Brainstem Response Testing

2019 ◽  
Vol 28 (1) ◽  
pp. 114-124
Author(s):  
Linda W. Norrix ◽  
Julie Thein ◽  
David Velenovsky
Keyword(s):  
Repeated Measures ◽  
Auditory Brainstem ◽  
Weighted Averaging ◽  
Auditory Brainstem Responses ◽  
Residual Noise ◽  
Electrophysiological Recordings ◽  
Artifact Rejection ◽  
Brainstem Response ◽  
Active Motor ◽  
Averaging Time

Purpose Low residual noise (RN) levels are critically important when obtaining electrophysiological recordings of threshold auditory brainstem responses. In this study, we examine the effectiveness and efficiency of Kalman-weighted averaging (KWA) implemented on the Vivosonic Integrity System and artifact rejection (AR) implemented on the Intelligent Hearing Systems SmartEP system for obtaining low RN levels. Method Sixteen adults participated. Electrophysiological measures were obtained using simultaneous recordings by the Vivosonic and Intelligent Hearing Systems for subjects in 2 relaxed conditions and 4 active motor conditions. Three averaging times were used for the relaxed states (1, 1.5, and 3 min) and for the active states (1.5, 3, and 6 min). Repeated-measures analyses of variance were used to examine RN levels as a function of noise reduction strategy (i.e., KWA, AR) and averaging time. Results Lower RN levels were obtained using KWA than AR in both the relaxed and active motor states. Thus, KWA was more effective than was AR under the conditions examined in this study. Using KWA, approximately 3 min of averaging was needed in the relaxed condition to obtain an average RN level of 0.025 μV. In contrast, in the active motor conditions, approximately 6 min of averaging was required using KWA. Mean RN levels of 0.025 μV were not attained using AR. Conclusions When patients are not physiologically quiet, low RN levels are more likely to be obtained and more efficiently obtained using KWA than AR. However, even when using KWA, in active motor states, 6 min of averaging or more may be required to obtain threshold responses. Averaging time needed and whether a low RN level can be attained will depend on the level of motor activity exhibited by the patient.

Effects of Aging on the Subcortical Encoding of Stop Consonants

2020 ◽  
Vol 29 (3) ◽  
pp. 391-403
Author(s):  
Dania Rishiq ◽  
Ashley Harkrider ◽  
Cary Springer ◽  
Mark Hedrick
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Mixed Model ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Aging Effects ◽  
Formant Frequency ◽  
Place Of Articulation ◽  
Second Formant ◽  
Effects Of Aging

Purpose The main purpose of this study was to evaluate aging effects on the predominantly subcortical (brainstem) encoding of the second-formant frequency transition, an essential acoustic cue for perceiving place of articulation. Method Synthetic consonant–vowel syllables varying in second-formant onset frequency (i.e., /ba/, /da/, and /ga/ stimuli) were used to elicit speech-evoked auditory brainstem responses (speech-ABRs) in 16 young adults ( M age = 21 years) and 11 older adults ( M age = 59 years). Repeated-measures mixed-model analyses of variance were performed on the latencies and amplitudes of the speech-ABR peaks. Fixed factors were phoneme (repeated measures on three levels: /b/ vs. /d/ vs. /g/) and age (two levels: young vs. older). Results Speech-ABR differences were observed between the two groups (young vs. older adults). Specifically, older listeners showed generalized amplitude reductions for onset and major peaks. Significant Phoneme × Group interactions were not observed. Conclusions Results showed aging effects in speech-ABR amplitudes that may reflect diminished subcortical encoding of consonants in older listeners. These aging effects were not phoneme dependent as observed using the statistical methods of this study.

Comparisons of Auditory Brainstem Responses Between a Laboratory and Simulated Home Environment

2020 ◽  
Vol 63 (11) ◽  
pp. 3877-3892
Author(s):  
Ashley Parker ◽  
Candace Slack ◽  
Erika Skoe
Keyword(s):  
Home Environment ◽  
Signal To Noise Ratio ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Single Family ◽  
Adult Participants ◽  
Simulated Home Environment ◽  
Brainstem Response ◽  
Research Populations ◽  
Response Consistency

Purpose Miniaturization of digital technologies has created new opportunities for remote health care and neuroscientific fieldwork. The current study assesses comparisons between in-home auditory brainstem response (ABR) recordings and recordings obtained in a traditional lab setting. Method Click-evoked and speech-evoked ABRs were recorded in 12 normal-hearing, young adult participants over three test sessions in (a) a shielded sound booth within a research lab, (b) a simulated home environment, and (c) the research lab once more. The same single-family house was used for all home testing. Results Analyses of ABR latencies, a common clinical metric, showed high repeatability between the home and lab environments across both the click-evoked and speech-evoked ABRs. Like ABR latencies, response consistency and signal-to-noise ratio (SNR) were robust both in the lab and in the home and did not show significant differences between locations, although variability between the home and lab was higher than latencies, with two participants influencing this lower repeatability between locations. Response consistency and SNR also patterned together, with a trend for higher SNRs to pair with more consistent responses in both the home and lab environments. Conclusions Our findings demonstrate the feasibility of obtaining high-quality ABR recordings within a simulated home environment that closely approximate those recorded in a more traditional recording environment. This line of work may open doors to greater accessibility to underserved clinical and research populations.

Referrals for Auditory Brainstem Responses—Compliance of Otoneurological Patients

Skull Base ◽  
2007 ◽  
Vol 16 (S 2) ◽  
Author(s):  
Magdalini Tsiakou ◽  
Thomas Nikolopoulos ◽  
Olga Papadopoulou ◽  
Maria Theodosiou ◽  
Sotirios Pappas ◽  
...  
Keyword(s):  
Auditory Brainstem ◽  
Auditory Brainstem Responses

Effects of Presbycusis and Other Types of Hearing Loss on Auditory Brainstem Responses

1986 ◽  
Vol 15 (4) ◽  
pp. 179-185
Author(s):  
Ulf Rosenhall ◽  
Kai Pedersen ◽  
Mats Dotevall
Keyword(s):  
Hearing Loss ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses

scholarly journals Auditory Brainstem Responses to Successive Sounds: Effects of Gap Duration and Depth

2021 ◽  
Vol 11 (1) ◽  
pp. 38-46
Author(s):  
Fan-Yin Cheng ◽  
Craig A. Champlin
Keyword(s):  
Background Noise ◽  
Tone Burst ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Physical Parameters ◽  
Temporal Acuity ◽  
Harmonic Complex ◽  
Rapid Changes ◽  
Brainstem Response ◽  
Physiological Correlate

Temporal acuity is the ability to differentiate between sounds based on fluctuations in the waveform envelope. The proximity of successive sounds and background noise diminishes the ability to track rapid changes between consecutive sounds. We determined whether a physiological correlate of temporal acuity is also affected by these factors. We recorded the auditory brainstem response (ABR) from human listeners using a harmonic complex (S1) followed by a brief tone burst (S2) with the latter serving as the evoking signal. The duration and depth of the silent gap between S1 and S2 were manipulated, and the peak latency and amplitude of wave V were measured. The latency of the responses decreased significantly as the duration or depth of the gap increased. The amplitude of the responses was not affected by the duration or depth of the gap. These findings suggest that changing the physical parameters of the gap affects the auditory system’s ability to encode successive sounds.

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