Hearing Aid Signal Processing for Children: When and How to Use It

2010 ◽  
Vol 20 (2) ◽  
pp. 63-69 ◽  
Author(s):  
Susan Scollie
Keyword(s):  
Signal Processing ◽  
Hearing Aids ◽  
Clinical Decision Making ◽  
Hearing Aid ◽  
Clinical Decision ◽  
Advantages And Disadvantages ◽  
Directional Microphone ◽  
Children With Hearing Loss ◽  
General Goals ◽  
Selection Of

This article describes the general goals for applying the principles of evidence-based practice to clinical decision making, as applied to the selection of hearing aid signal processing for children with hearing loss. Two scenarios are considered: the case of using directional microphone hearing aids and the use of frequency lowering signal processing for mild to moderate losses. Neither situation is as simple as it seems. The evidence for each is reviewed, and questions to ask when applying each for individual children are presented, with discussion of advantages and disadvantages.

scholarly journals The Effect of Hearing Aid Technologies on Listening in an Automobile

2013 ◽  
Vol 24 (06) ◽  
pp. 474-485 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Elizabeth Stangl ◽  
Ruth A. Bentler ◽  
Rachel W. Stanziola
Keyword(s):  
Signal Processing ◽  
Speech Recognition ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Recognition Performance ◽  
Road Noise ◽  
Processing Scheme ◽  
Repeated Measures Design ◽  
Directional Microphone ◽  
Omnidirectional Microphones

Background: Communication while traveling in an automobile often is very difficult for hearing aid users. This is because the automobile/road noise level is usually high, and listeners/drivers often do not have access to visual cues. Since the talker of interest usually is not located in front of the listener/driver, conventional directional processing that places the directivity beam toward the listener's front may not be helpful and, in fact, could have a negative impact on speech recognition (when compared to omnidirectional processing). Recently, technologies have become available in commercial hearing aids that are designed to improve speech recognition and/or listening effort in noisy conditions where talkers are located behind or beside the listener. These technologies include (1) a directional microphone system that uses a backward-facing directivity pattern (Back-DIR processing), (2) a technology that transmits audio signals from the ear with the better signal-to-noise ratio (SNR) to the ear with the poorer SNR (Side-Transmission processing), and (3) a signal processing scheme that suppresses the noise at the ear with the poorer SNR (Side-Suppression processing). Purpose: The purpose of the current study was to determine the effect of (1) conventional directional microphones and (2) newer signal processing schemes (Back-DIR, Side-Transmission, and Side-Suppression) on listener's speech recognition performance and preference for communication in a traveling automobile. Research Design: A single-blinded, repeated-measures design was used. Study Sample: Twenty-five adults with bilateral symmetrical sensorineural hearing loss aged 44 through 84 yr participated in the study. Data Collection and Analysis: The automobile/road noise and sentences of the Connected Speech Test (CST) were recorded through hearing aids in a standard van moving at a speed of 70 mph on a paved highway. The hearing aids were programmed to omnidirectional microphone, conventional adaptive directional microphone, and the three newer schemes. CST sentences were presented from the side and back of the hearing aids, which were placed on the ears of a manikin. The recorded stimuli were presented to listeners via earphones in a sound-treated booth to assess speech recognition performance and preference with each programmed condition. Results: Compared to omnidirectional microphones, conventional adaptive directional processing had a detrimental effect on speech recognition when speech was presented from the back or side of the listener. Back-DIR and Side-Transmission processing improved speech recognition performance (relative to both omnidirectional and adaptive directional processing) when speech was from the back and side, respectively. The performance with Side-Suppression processing was better than with adaptive directional processing when speech was from the side. The participants' preferences for a given processing scheme were generally consistent with speech recognition results. Conclusions: The finding that performance with adaptive directional processing was poorer than with omnidirectional microphones demonstrates the importance of selecting the correct microphone technology for different listening situations. The results also suggest the feasibility of using hearing aid technologies to provide a better listening experience for hearing aid users in automobiles.

The Relationship Between Hearing Loss Self-Management and Hearing Aid Benefit and Satisfaction

2019 ◽  
Vol 28 (2) ◽  
pp. 274-284 ◽  
Author(s):  
Elizabeth Convery ◽  
Gitte Keidser ◽  
Louise Hickson ◽  
Carly Meyer
Keyword(s):  
Decision Making ◽  
Hearing Loss ◽  
Hearing Aids ◽  
Clinical Decision Making ◽  
Hearing Aid ◽  
Well Being ◽  
Self Report ◽  
Self Management ◽  
Hearing Aid Benefit ◽  
The Relationship

Purpose Hearing loss self-management refers to the knowledge and skills people use to manage the effects of hearing loss on all aspects of their daily lives. The purpose of this study was to investigate the relationship between self-reported hearing loss self-management and hearing aid benefit and satisfaction. Method Thirty-seven adults with hearing loss, all of whom were current users of bilateral hearing aids, participated in this observational study. The participants completed self-report inventories probing their hearing loss self-management and hearing aid benefit and satisfaction. Correlation analysis was used to investigate the relationship between individual domains of hearing loss self-management and hearing aid benefit and satisfaction. Results Participants who reported better self-management of the effects of their hearing loss on their emotional well-being and social participation were more likely to report less aided listening difficulty in noisy and reverberant environments and greater satisfaction with the effect of their hearing aids on their self-image. Participants who reported better self-management in the areas of adhering to treatment, participating in shared decision making, accessing services and resources, attending appointments, and monitoring for changes in their hearing and functional status were more likely to report greater satisfaction with the sound quality and performance of their hearing aids. Conclusion Study findings highlight the potential for using information about a patient's hearing loss self-management in different domains as part of clinical decision making and management planning.

FM Verification for the 21 st Century

2008 ◽  
Vol 18 (1) ◽  
pp. 4-9 ◽  
Author(s):  
Leisha Eiten ◽  
Dawna Lewis
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Current Technology ◽  
The Past ◽  
Technological Advances ◽  
Children With Hearing Loss

Background: For children with hearing loss, the benefits of FM systems in overcoming deleterious effects of noise, distance, and reverberation have led to recommendations for use beyond classroom settings. It is important that audiologists who recommend and fit these devices understand the rationale and procedures underlying fitting and verification. Objectives: This article reviews previousguidelines for FM verification, addresses technological advances, and introduces verification procedures appropriate for current FM and hearing-aid technology. Methods: Previous guidelines for verification of FM systems are reviewed. Those recommendations that are appropriate for current technology are addressed, as are procedures that are no longer adequate for hearing aids and FM systems utilizing more complex processing than in the past. Technological advances are discussed, and an updated approach to FM verification is proposed. Conclusions: Approaches to verification andfitting of FM systems must keep pace with advances in hearing-aid and FM technology. The transparency approach addressed in this paper is recommended for verification of FM systems coupled to hearing aids.

Feasibility of smartphone-based hearing-aid apps for patients with mild hearing loss: an exploratory pilot study (Preprint)

2020 ◽  
Author(s):  
Willy Nguyen ◽  
Miseung Koo ◽  
Seung Ha Oh ◽  
Jun Ho Lee ◽  
Moo Kyun Park
Keyword(s):  
Hearing Loss ◽  
Hearing Impairment ◽  
Hearing Aids ◽  
Clinical Performance ◽  
Hearing Aid ◽  
National Standards ◽  
Hearing In Noise ◽  
Mild Hearing Loss ◽  
Consumer Devices ◽  
Selection Of

BACKGROUND Underuse of hearing aids is caused by several factors, including the stigma associated with hearing disability, affordability, and lack of awareness of rising hearing impairment associated with the growing population. Thus, there is a significant opportunity for the development of direct-to-consumer devices. For the past few years, smartphone-based hearing-aid apps have become more numerous and diverse, but few studies have investigated them. OBJECTIVE This study aimed to elucidate the electroacoustic characteristics and potential user benefits of a selection of currently available hearing-aid apps. METHODS We investigated the apps based on hearing-aid control standards (American National Standards Institute) using measurement procedures from previous studies. We categorized the apps and excluded those we considered inefficient. We investigated a selection of user-friendly, low-end apps, EarMachine and Sound Amplifier, with warble-tone audiometry, word recognition testing in unaided and aided conditions, and hearing-in-noise test in quiet and noise-front conditions in a group of users with mild hearing impairment (n = 7) as a pilot for a future long-term investigation. Results from the apps were compared with those of a conventional hearing aid. RESULTS Five of 14 apps were considered unusable based on low scores in several metrics, while the others varied across the range of electroacoustic measurements. The apps that we considered “high end” that provided lower processing latencies and audiogram-based fitting algorithms were superior overall. The clinical performance of the listeners tended to be better when using hearing aid, while the low end hearing-aid apps had limited benefits on the users. CONCLUSIONS Some apps showed the potential to benefit users with limited cases of minimal or mild hearing loss if the inconvenience of relatively poor electroacoustic performance did not outweigh the benefits of amplification.

Hearing Technology Use and Management in School-Age Children: Reports from Data Logs, Parents, and Teachers

2017 ◽  
Vol 28 (10) ◽  
pp. 883-892 ◽  
Author(s):  
Samantha J. Gustafson ◽  
Todd A. Ricketts ◽  
Anne Marie Tharpe
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Parent Report ◽  
School Age Children ◽  
School Age ◽  
Data Logging ◽  
Hearing Aid Use ◽  
System Use ◽  
Children With Hearing Loss

Background: Consistency of hearing aid and remote microphone system use declines as school-age children with hearing loss age. One indicator of hearing aid use time is data logging, another is parent report. Recent data suggest that parents overestimate their children’s hearing aid use time relative to data logging. The potential reasons for this disparity remain unclear. Because school-age children spend the majority of their day away from their parents and with their teachers, reports from teachers might serve as a valuable and additional tool for estimating hearing aid use time and management. Purpose: This study expands previous research on factors influencing hearing aid use time in school-age children using data logging records. Discrepancies between data logging records and parent reports were explored using custom surveys designed for parents and teachers. Responses from parents and teachers were used to examine hearing aid use, remote microphone system use, and hearing aid management in school-age children. Study Sample: Thirteen children with mild-to-moderate hearing loss between the ages of 7 and 10 yr and their parents participated in this study. Teachers of ten of these children also participated. Data Collection and Analysis: Parents and teachers of children completed written surveys about each child’s hearing aid use, remote microphone system use, and hearing aid management skills. Data logs were read from hearing aids using manufacturer’s software. Multiple linear regression analysis and an intraclass correlation coefficient were used to examine factors influencing hearing aid use time and parent agreement with data logs. Parent report of hearing aid use time was compared across various activities and school and nonschool days. Survey responses from parents and teachers were compared to explore areas requiring potential improvement in audiological counseling. Results: Average daily hearing aid use time was ˜6 hr per day as recorded with data logging technology. Children exhibiting greater degrees of hearing loss and those with poorer vocabulary were more likely to use hearing aids consistently than children with less hearing loss and better vocabulary. Parents overestimated hearing aid use by ˜1 hr per day relative to data logging records. Parent-reported use of hearing aids varied across activities but not across school and nonschool days. Overall, parents and teachers showed excellent agreement on hearing aid and remote microphone system use during school instruction but poor agreement when asked about the child’s ability to manage their hearing devices independently. Conclusions: Parental reports of hearing aid use in young school-age children are largely consistent with data logging records and with teacher reports of hearing aid use in the classroom. Audiologists might find teacher reports helpful in learning more about children’s hearing aid management and remote microphone system use during their time at school. This supplementary information can serve as an additional counseling tool to facilitate discussion about remote microphone system use and hearing aid management in school-age children with hearing loss.

Fitting Frequency-Lowering Signal Processing Applying the American Academy of Audiology Pediatric Amplification Guideline: Updates and Protocols

2016 ◽  
Vol 27 (03) ◽  
pp. 219-236 ◽  
Author(s):  
Susan Scollie ◽  
Danielle Glista ◽  
Julie Seto ◽  
Andrea Dunn ◽  
Brittany Schuett ◽  
...  
Keyword(s):  
Signal Processing ◽  
Frequency Response ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Fine Tuning ◽  
Sensation Level ◽  
Response Level ◽  
Strong Basis ◽  
Wide Range ◽  
Signal Processors

Background: Although guidelines for fitting hearing aids for children are well developed and have strong basis in evidence, specific protocols for fitting and verifying technologies can supplement such guidelines. One such technology is frequency-lowering signal processing. Children require access to a broad bandwidth of speech to detect and use all phonemes including female /s/. When access through conventional amplification is not possible, the use of frequency-lowering signal processing may be considered as a means to overcome limitations. Fitting and verification protocols are needed to better define candidacy determination and options for assessing and fine tuning frequency-lowering signal processing for individuals. Purpose: This work aims to (1) describe a set of calibrated phonemes that can be used to characterize the variation in different brands of frequency-lowering processors in hearing aids and the verification with these signals and (2) determine whether verification with these signal are predictive of perceptual changes associated with changes in the strength of frequency-lowering signal processing. Finally, we aimed to develop a fitting protocol for use in pediatric clinical practice. Study Sample: Study 1 used a sample of six hearing aids spanning four types of frequency lowering algorithms for an electroacoustic evaluation. Study 2 included 21 adults who had hearing loss (mean age 66 yr). Data Collection and Analysis: Simulated fricatives were designed to mimic the level and frequency shape of female fricatives extracted from two sources of speech. These signals were used to verify the frequency-lowering effects of four distinct types of frequency-lowering signal processors available in commercial hearing aids, and verification measures were compared to extracted fricatives made in a reference system. In a second study, the simulated fricatives were used within a probe microphone measurement system to verify a wide range of frequency compression settings in a commercial hearing aid, and 27 adult listeners were tested at each setting. The relation between the hearing aid verification measures and the listener’s ability to detect and discriminate between fricatives was examined. Results: Verification measures made with the simulated fricatives agreed to within 4 dB, on average, and tended to mimic the frequency response shape of fricatives presented in a running speech context. Some processors showed a greater aided response level for fricatives in running speech than fricatives presented in isolation. Results with listeners indicated that verified settings that provided a positive sensation level of /s/ and that maximized the frequency difference between /s/ and /∫/ tended to have the best performance. Conclusions: Frequency-lowering signal processors have measureable effects on the high-frequency fricative content of speech, particularly female /s/. It is possible to measure these effects either with a simple strategy that presents an isolated simulated fricative and measures the aided frequency response or with a more complex system that extracts fricatives from running speech. For some processors, a more accurate result may be achieved with a running speech system. In listeners, the aided frequency location and sensation level of fricatives may be helpful in predicting whether a specific hearing aid fitting, with or without frequency-lowering, will support access to the fricatives of speech.

Low-level Speech Recognition of Children with Hearing Aids

2021 ◽  
Author(s):  
Jace Wolfe ◽  
Mila Duke ◽  
Sharon Miller ◽  
Erin Schafer ◽  
Christine Jones ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Word Recognition ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Phase 1 ◽  
Second Phase ◽  
Phase 2 ◽  
Low Level ◽  
Children With Hearing Loss

Background: For children with hearing loss, the primary goal of hearing aids is to provide improved access to the auditory environment within the limits of hearing aid technology and the child’s auditory abilities. However, there are limited data examining aided speech recognition at very low (40 dBA) and low (50 dBA) presentation levels. Purpose: Due to the paucity of studies exploring aided speech recognition at low presentation levels for children with hearing loss, the present study aimed to 1) compare aided speech recognition at different presentation levels between groups of children with normal hearing and hearing loss, 2) explore the effects of aided pure tone average (PTA) and aided Speech Intelligibility Index (SII) on aided speech recognition at low presentation levels for children with hearing loss ranging in degree from mild to severe, and 3) evaluate the effect of increasing low-level gain on aided speech recognition of children with hearing loss. Research Design: In phase 1 of this study, a two-group, repeated-measures design was used to evaluate differences in speech recognition. In phase 2 of this study, a single-group, repeated-measures design was used to evaluate the potential benefit of additional low-level hearing aid gain for low-level aided speech recognition of children with hearing loss. Study Sample: The first phase of the study included 27 school-age children with mild to severe sensorineural hearing loss and 12 school-age children with normal hearing. The second phase included eight children with mild to moderate sensorineural hearing loss. Intervention: Prior to the study, children with hearing loss were fitted binaurally with digital hearing aids. Children in the second phase were fitted binaurally with digital study hearing aids and completed a trial period with two different gain settings: 1) gain required to match hearing aid output to prescriptive targets (i.e., primary program), and 2) a 6-dB increase in overall gain for low-level inputs relative to the primary program. In both phases of this study, real-ear verification measures were completed to ensure the hearing aid output matched prescriptive targets. Data Collection and Analysis: Phase 1 included monosyllabic word recognition and syllable-final plural recognition at three presentation levels (40, 50, and 60 dBA). Phase 2 compared speech recognition performance for the same test measures and presentation levels with two differing gain prescriptions. Results and Conclusions: In phase 1 of the study, aided speech recognition was significantly poorer in children with hearing loss at all presentation levels. Higher aided SII in the better ear (55 dB SPL input) was associated with higher CNC word recognition at a 40 dBA presentation level. In phase 2, increasing the hearing aid gain for low-level inputs provided a significant improvement in syllable-final plural recognition at very low-level inputs and resulted in a non-significant trend toward better monosyllabic word recognition at very low presentation levels. Additional research is needed to document the speech recognition difficulties children with hearing aids may experience with low-level speech in the real world as well as the potential benefit or detriment of providing additional low-level hearing aid gain

scholarly journals Strategies in Abduction: Generating and Selecting Diagnostic Hypotheses

2020 ◽  
Vol 45 (2) ◽  
pp. 159-178
Author(s):  
Donald E Stanley ◽  
Rune Nyrup
Keyword(s):  
Medical Diagnosis ◽  
Clinical Case ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Hypothesis Generation ◽  
Clinical Case Study ◽  
Diagnostic Hypothesis ◽  
Threshold Approach ◽  
Selection Of

Abstract We distinguish three aspects of medical diagnosis: generating new diagnostic hypotheses, selecting hypotheses for further pursuit, and evaluating their probability in light of the available evidence. Drawing on Peirce’s account of abduction, we argue that hypothesis generation is amenable to normative analysis: physicians need to make good decisions about when and how to generate new diagnostic hypothesis as well as when to stop. The intertwining relationship between the generation and selection of diagnostic hypotheses is illustrated through the analysis of a detailed clinical case study. This interaction is not adequately captured by the existing probabilistic, decision-theoretic models of the threshold approach to clinical decision-making. Instead, we propose to conceptualize medical diagnosis in terms of strategic reasoning.

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