Auditory steady state response in pediatric audiology.

FMUSP, Brazil.
Brazilian journal of otorhinolaryngology (Impact Factor: 0.62). 12/2010; 76(6):723-8.
Source: PubMed

ABSTRACT The main issue regarding pediatric audiology diagnosis is determining procedures to configure reliable results which can be used to predict frequency-specific hearing thresholds.
To investigate the correlation between auditory steady-state response (ASSR) with other tests in children with sensorineural hearing loss.
Prospective cross-sectional contemporary cohort study. Twenty-three children (ages 1 to 7; mean, 3 years old) were submitted to ASSR, behavioral audiometry, click audiometry brain stem response (ABR), tone burst ABR, and predicting hearing level from the acoustic reflex.
the correlation between behavioral thresholds and ASSR was (0.70- 0.93), for the ABR tone burst it was (0.73 -0.93), for the ABR click it was (0.83-0.89) only at 2k and 4 kHz. The match between the ASSR and the hearing threshold prediction rule was considered moderate.
there was a significant correlation between the ASSR and audiometry, as well as between ABR click (2k and 4 kHz) and for the ABR tone burst. The acoustic reflex can be used to add information to diagnosis in children.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Increased serum bilirubin levels during infancy increase the risk of hearing loss in infants. This study aimed to investigate the relationship between pure-tone audiometry hearing thresholds and thresholds estimated using auditory steady-state responses (ASSRs) in children with a history of neonatal hyperbilirubinemia, and to evaluate the usefulness of 90-Hz ASSR in estimating hearing thresholds in children. This study was conducted on 26 children (13 girls and 13 boys) who were aged 2.4-11 years and had a history of neonatal hyperbilirubinemia (bilirubin level >17 mg/dL). ASSR thresholds were compared with behavioral thresholds and were interpreted after considering the amount and type of hearing loss. Of the 26 children, 12 had normal hearing thresholds, and 14 had varying degrees of sensorineural hearing loss. In general, a high correlation (r ≥ 0.81, p < 0.01) was found between the ASSR and behavioral thresholds. The highest correlation was observed at 2,000 Hz (r = 0.88, p < 0.01). No significant difference was observed (p > 0.13) between mean behavioral and ASSR thresholds at 52 studied ears. The results of this study showed that 90-Hz ASSR assessments provide reliable estimates of behavioral hearing thresholds in children who have a history of neonatal hyperbilirubinemia and sensorineural hearing loss or normal hearing.
    Archives of Oto-Rhino-Laryngology 10/2013; 271(9). DOI:10.1007/s00405-013-2731-6 · 1.61 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The Auditory steady state response (ASSR) provides a frequency-specific and automatic assessment of hearing sensitivity and is used in infants and difficult-to-test adults. The aim of this study was to compare the ASSR thresholds among various types (normal, conductive, and sensorineural), degree (normal, mild, and moderate), and configuration (flat and sloping) of hearing sensitivity, and measuring the cutoff point between normal condition and hearing loss for different frequencies. This clinical trial was performed in Iran and included patients who were referred from Ear, Nose, and Throat Department. A total of 54 adults (27 with sensorineural hearing loss, 17 with conductive hearing losses, and 10 with normal hearing) were randomly chosen to participate in our study. The type and degree of hearing loss were determined through testing by otoscopy, tympanometry, acoustic reflex, and pure tone audiometry. Then the ASSR was tested at carrier frequencies of 500, 1000, 2000, and 4000 Hz. The ASSR accurately estimates the behavioral thresholds as well as flat and sloping configurations. There was no correlation between types of hearing loss and difference of behavioral and ASSR thresholds (P = 0.69). The difference between ASSR and behavioral thresholds decreased as severity of hearing loss increased. The 40, 35, 30, and 35 dB could be considered as cutoffs between normal hearing and hearing loss for 500, 1000, 2000, and 4000 Hz, respectively. The ASSR can accurately predict the degree and configuration of hearing loss and discriminate the normal hearing from mild or moderate hearing loss and mild from moderate hearing loss, except for 500 Hz. The Air-conducted ASSR could not define the type of hearing loss.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The 6-minute walk test (6MWT: the maximum distance walked in 6 minutes) is used by rehabilitation professionals as a measure of exercise capacity. Today's smartphones contain hardware that can be used for wearable sensor applications and mobile data analysis. A smartphone application can run the 6MWT and provide typically unavailable biomechanical information about how the person moves during the test. A new algorithm for a calibration-free 6MWT smartphone application was developed that uses the test's inherent conditions and smartphone accelerometer-gyroscope data to report the total distance walked, step timing, gait symmetry, and walking changes over time. This information is not available with a standard 6MWT and could help with clinical decision-making. The 6MWT application was evaluated with 15 able-bodied participants. A BlackBerry Z10 smartphone was worn on a belt at the mid lower back. Audio from the phone instructed the person to start and stop walking. Digital video was independently recorded during the trial as a gold-standard comparator. The average difference between smartphone and gold standard foot strike timing was 0.014 ± 0.015 s. The total distance calculated by the application was within 1 m of the measured distance for all but one participant, which was more accurate than other smartphone-based studies. These results demonstrated that clinically relevant 6MWT results can be achieved with typical smartphone hardware and a novel algorithm.
    Journal of NeuroEngineering and Rehabilitation 02/2015; 12(19). DOI:10.1186/s12984-015-0013-9 · 2.62 Impact Factor