Auditory brainstem response (ABR) waveform analysis program
Auditory brainstem responses (ABR) are a high-throughput assessment of auditory function. Many studies determine changes to the threshold at frequencies that span the normal hearing range of their test subjects, but fewer studies evaluate changes in waveform morphology. The goal of developing this p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016123004107 |
| _version_ | 1797405462942973952 |
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| author | Kali Burke Matthew Burke Amanda M. Lauer |
| author_facet | Kali Burke Matthew Burke Amanda M. Lauer |
| author_sort | Kali Burke |
| collection | DOAJ |
| description | Auditory brainstem responses (ABR) are a high-throughput assessment of auditory function. Many studies determine changes to the threshold at frequencies that span the normal hearing range of their test subjects, but fewer studies evaluate changes in waveform morphology. The goal of developing this program was to make a user-friendly semiautomatic peak-detection algorithm to encourage widespread analysis of the amplitudes and latencies of the ABR, which may yield informative details about the integrity of the auditory system with development, aging, genetic manipulations, or damaging conditions. This method incorporates automated peak detection with manual override and inter-rater validation to calculate the amplitude and latency for waves 1–5, as well as interpeak latencies and amplitude ratios between waves. The output includes raw data and calculations in a format compatible with graphical and statistical software. • The method yields a high-throughput peak-detection algorithm with manual override and inter-rater capabilities to streamline ABR waveform analysis. • Data output includes amplitudes, latencies, amplitude ratios, and interpeak latencies for generation of input-output curves. • While complete automation of peak detection with this tool is dependent on good signal-to-noise ratios, relevant amplitude and latency calculations are fully automated, and manual spot-checking is simplified to significantly reduce the time to analyze waveforms. |
| first_indexed | 2024-03-09T03:10:16Z |
| format | Article |
| id | doaj.art-c592ae274dcd42499e07f8870ace57e9 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-03-09T03:10:16Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-c592ae274dcd42499e07f8870ace57e92023-12-04T05:22:38ZengElsevierMethodsX2215-01612023-12-0111102414Auditory brainstem response (ABR) waveform analysis programKali Burke0Matthew Burke1Amanda M. Lauer2Department of Otolaryngology- Head and Neck Surgery at Johns Hopkins University School of Medicine, 720 Rutland Ave, Baltimore, MD 21205, USAHexagon Manufacturing Intelligence, 624 Grassmere Park Suite 7, Nashville TN 37214, USADepartment of Otolaryngology- Head and Neck Surgery at Johns Hopkins University School of Medicine, 720 Rutland Ave, Baltimore, MD 21205, USA; Department of Neuroscience at Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Corresponding author at: Department of Otolaryngology- Head and Neck Surgery at Johns Hopkins University School of Medicine, 720 Rutland Ave, Baltimore, MD 21205, USA.Auditory brainstem responses (ABR) are a high-throughput assessment of auditory function. Many studies determine changes to the threshold at frequencies that span the normal hearing range of their test subjects, but fewer studies evaluate changes in waveform morphology. The goal of developing this program was to make a user-friendly semiautomatic peak-detection algorithm to encourage widespread analysis of the amplitudes and latencies of the ABR, which may yield informative details about the integrity of the auditory system with development, aging, genetic manipulations, or damaging conditions. This method incorporates automated peak detection with manual override and inter-rater validation to calculate the amplitude and latency for waves 1–5, as well as interpeak latencies and amplitude ratios between waves. The output includes raw data and calculations in a format compatible with graphical and statistical software. • The method yields a high-throughput peak-detection algorithm with manual override and inter-rater capabilities to streamline ABR waveform analysis. • Data output includes amplitudes, latencies, amplitude ratios, and interpeak latencies for generation of input-output curves. • While complete automation of peak detection with this tool is dependent on good signal-to-noise ratios, relevant amplitude and latency calculations are fully automated, and manual spot-checking is simplified to significantly reduce the time to analyze waveforms.http://www.sciencedirect.com/science/article/pii/S2215016123004107Auditory Brainstem Response Waveform Analysis Software |
| spellingShingle | Kali Burke Matthew Burke Amanda M. Lauer Auditory brainstem response (ABR) waveform analysis program MethodsX Auditory Brainstem Response Waveform Analysis Software |
| title | Auditory brainstem response (ABR) waveform analysis program |
| title_full | Auditory brainstem response (ABR) waveform analysis program |
| title_fullStr | Auditory brainstem response (ABR) waveform analysis program |
| title_full_unstemmed | Auditory brainstem response (ABR) waveform analysis program |
| title_short | Auditory brainstem response (ABR) waveform analysis program |
| title_sort | auditory brainstem response abr waveform analysis program |
| topic | Auditory Brainstem Response Waveform Analysis Software |
| url | http://www.sciencedirect.com/science/article/pii/S2215016123004107 |
| work_keys_str_mv | AT kaliburke auditorybrainstemresponseabrwaveformanalysisprogram AT matthewburke auditorybrainstemresponseabrwaveformanalysisprogram AT amandamlauer auditorybrainstemresponseabrwaveformanalysisprogram |