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Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Previous research on how data compression impacts voice signals has found that different microphones and MP3 compression bitrates on sustained vowel sounds can significantly affect feature values [10]. Research has found that various digital platforms and their audio codecs affect the voice in a way that challenges voice recognition processes specifically by narrowing the frequency band and centrally shifting frequencies at the upper and lower limits [13].

Jessica Oreskovic, Jaycee Kaufman, Yan Fossat

JMIR Biomed Eng 2024;9:e56246

Feasibility and Acceptability of Pediatric Smartphone Lung Auscultation by Parents: Cross-Sectional Study

Feasibility and Acceptability of Pediatric Smartphone Lung Auscultation by Parents: Cross-Sectional Study

Afterward, the parents completed a 3-item questionnaire to provide feedback on the app (app’s ease of use for recording lung sounds, willingness to use the app to send lung sounds to the physician, and recommendation to others), using a Likert scale ranging from 1 (“totally disagree”) to 5 (“totally agree”).

Catarina Santos-Silva, Henrique Ferreira-Cardoso, Sónia Silva, Pedro Vieira-Marques, José Carlos Valente, Rute Almeida, João A Fonseca, Cristina Santos, Inês Azevedo, Cristina Jácome

JMIR Pediatr Parent 2024;7:e52540

Peer Review of “Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation”

Peer Review of “Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation”

The authors report on an interesting study [1] in which they use a wearable device to sense high-frequency sounds. I have some specific comments below. To summarize, some essential elements are missing from the manuscript, and the manuscript needs significant editorial attention (errors, academic writing style, figures).

Robert Eikelboom

JMIRx Med 2024;5:e55554

Authors’ Response to Peer Reviews of “Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation”

Authors’ Response to Peer Reviews of “Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation”

Cox and Alexander [9] write “Aversiveness of Sounds, quantifies negative reactions to environmental sounds,” and “The APHAB is a potentially valuable clinical instrument. It can be useful for quantifying the disability associated with a hearing loss and the reduction of disability that is achieved with a hearing aid.” That is, it is designed to be used before an intervention (and has been used a lot for non-HA interventions as well, eg, implants). Response: Thank you for the comment.

Izzy Kohler, Michael V Perrotta, Tiago Ferreira, David M Eagleman

JMIRx Med 2024;5:e55510

Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation

Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation

High-frequency hearing loss is one of the most common types of hearing loss and renders high-pitched sounds, such as the voices of women and children, more difficult to hear [2,3]. It can affect people of any age but is more common among older adults and people who have been repeatedly exposed to loud noises [4-6].

Izzy Kohler, Michael V Perrotta, Tiago Ferreira, David M Eagleman

JMIRx Med 2024;5:e49969