Active noise control and secondary path modeling algorithms for earphones

Chen, Yi-Rou; Chang, Cheng-Yuan; Kuo, Sen M.

doi:10.23919/acc.2017.7962961

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The constitution of three ANC headphone models for the experiment is illustrated in Figure 1 . In addition, KEMAR (GRAS Sound & Vibration, Denmark) [ 28 ] manikins were used to record the audio from the three ANC headphone models. The pure tones used in this study were tested at the four frequencies (0.5 kHz, 1 kHz, 2 kHz, and 4 kHz) required for audiometric screening, and both steady (pink noise) and non-steady (cafeteria babble noise) noises [ 29 ] were selected as the background noise.…”

Section: Methodsmentioning

confidence: 99%

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

Cheng

Han

Zheng

et al. 2022

Sensors

View full text Add to dashboard Cite

With the development of active noise cancellation (ANC) technology, ANC has been used to mitigate the effects of environmental noise on audiometric results. However, objective evaluation methods supporting the accuracy of audiometry for ANC exposure to different levels of noise have not been reported. Accordingly, the audio characteristics of three different ANC headphone models were quantified under different noise conditions and the feasibility of ANC in noisy environments was investigated. Steady (pink noise) and non-steady noise (cafeteria babble noise) were used to simulate noisy environments. We compared the integrity of pure-tone signals obtained from three different ANC headphone models after processing under different noise scenarios and analyzed the degree of ANC signal correlation based on the Pearson correlation coefficient compared to pure-tone signals in quiet. The objective signal correlation results were compared with audiometric screening results to confirm the correspondence. Results revealed that ANC helped mitigate the effects of environmental noise on the measured signal and the combined ANC headset model retained the highest signal integrity. The degree of signal correlation was used as a confidence indicator for the accuracy of hearing screening in noise results. It was found that the ANC technique can be further improved for more complex noisy environments.

show abstract

Section: Methodsmentioning

confidence: 99%

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

Cheng

Han

Zheng

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Furthermore, the study design of a high proportion of the control groups only stated the SC and did not clarify the actual intervention device. As there were differences in the comfort and functions of noise-canceling earphones, headphones, or earphones [74,75], the study results tended to be affected by the differences in intervention devices. However, a clear description of the intervention measures was lacking.…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of Music-Based Intervention in Improving Uncomfortable Symptoms in ICU Patients: An Umbrella Review

Chen

Chang

Chow

et al. 2021

IJERPH

View full text Add to dashboard Cite

Background: Intensive care unit (ICU) patients experience multiple uncomfortable symptoms, which may be alleviated using music-based intervention, a nondrug treatment. This umbrella review aims to combine the data of systematic reviews and/or meta-analyses to evaluate the effectiveness of music-based intervention in improving uncomfortable symptoms in ICU patients. Methods: A comprehensive literature search was performed on the PubMed, Embase, Cochrane Library, Airiti Library, CINAHL, ProQuest, and Web of Science databases, and Epistemonikos. The search had no language restrictions, and articles on the improvement of symptoms using music-based intervention in adult ICU patients were included. This review protocol was registered on PROSPERO (CRD42021240327). Results: This umbrella review retrieved 5 systematic reviews and 41 original studies, including 39 randomized controlled trials, and 2 nonrandomized controlled trials. Diverse music was the most common music type used for music-based intervention, the intervention music was typically decided by the study participants (61%), and most subjects underwent one intervention session (78%). Furthermore, most music intervention sessions lasted for 30 min (44%). The positive results included decreased anxiety, decreased pain, decreased agitation, decreased anesthesia dose and sedative use, decreased chances of delirium, decreased feelings of uncomfort, and improved sleep quality. Conclusions: A systematic review on the effectiveness of music-based intervention in improving uncomfortable symptoms in ICU patients revealed that 20–30 min intervention sessions showed the best improvement in the uncomfortable symptoms in patients. This study provides a basis for using music-based intervention to relieve the uncomfortable symptoms in critically ill ICU patients, and a reference for empirical clinical practice.

show abstract

Spatial-Frequency-Based Selective Fixed-Filter Algorithm for Multichannel Active Noise Control

Su,

Shi,

Zhu

et al. 2024

IEEE Signal Process. Lett.

View full text Add to dashboard Cite

Active noise control and secondary path modeling algorithms for earphones

Cited by 3 publications

References 8 publications

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

Effectiveness of Music-Based Intervention in Improving Uncomfortable Symptoms in ICU Patients: An Umbrella Review

Spatial-Frequency-Based Selective Fixed-Filter Algorithm for Multichannel Active Noise Control

Contact Info

Product

Resources

About