The development and broad use of passive acoustic monitoring techniques have the potential to help assessing the large-scale influence of artificial noise on marine organisms and ecosystems. Deep-sea observatories have the potential to play a key role in understanding these recent acoustic changes. LIDO (Listening to the Deep Ocean Environment) is an international project that is allowing the real-time long-term monitoring of marine ambient noise as well as marine mammal sounds at cabled and standalone observatories. Here, we present the overall development of the project and the use of passive acoustic monitoring (PAM) techniques to provide the scientific community with real-time data at large spatial and temporal scales. Special attention is given to the extraction and identification of high frequency cetacean echolocation signals given the relevance of detecting target species, e.g. beaked whales, in mitigation processes, e.g. during military exercises.
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http://dx.doi.org/10.1016/j.marpolbul.2011.04.038 | DOI Listing |
Objective: Previous studies have reported that the noise generated by dental equipment can interfere with the auscultation of respiratory sounds during sedation. Therefore, this study aimed to identify whether positing the acoustic sensor on the chest or cervical position would be least susceptible to interference from dental suction device noise, a prominent noise noted during respiratory sound monitoring during dental sedation.
Methods: This prospective cohort study was conducted with 30 students.
IEEE J Transl Eng Health Med
December 2024
Patients with nasogastric (NG) tubes require careful monitoring due to the potential impact of the tube on their ability to swallow safely. This study aimed to investigate the utility of high-resolution cervical auscultation (HRCA) signals in assessing swallowing functionality of patients using feeding tubes. HRCA, capturing swallowing vibratory and acoustic signals, has been explored as a surrogate for videofluoroscopy image analysis in previous research.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Department of Cybersecurity and Computer Science, Dawood University of Engineering and Technology, Karachi City 74800, Pakistan.
Autism spectrum disorder (ASD) is a brain disorder causing issues among many young children. For children suffering from ASD, their learning ability is typically slower when compared to normal children. Therefore, many technologies aiming to teach ASD children with optimized learning approaches have emerged.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Information Technology, Jadavpur University, Jadavpur University Second Campus, Plot No. 8, Salt Lake Bypass, LB Block, Sector III, Salt Lake City, Kolkata-700106, West Bengal, India.
Background/objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthcare data analysis, reducing the need for human intervention. Schizophrenia (SZ), a chronic mental health disorder affecting millions globally, is characterized by symptoms such as auditory hallucinations, paranoia, and disruptions in thought, behavior, and perception.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Department of Speech and Hearing Science, and Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, Ohio 43210, USA.
Hearing impairment is often characterized by poor speech-in-noise recognition. State-of-the-art laboratory-based noise-reduction technology can eliminate background sounds from a corrupted speech signal and improve intelligibility, but it can also hinder environmental sound recognition (ESR), which is essential for personal independence and safety. This paper presents a time-frequency mask, the ideal compressed mask (ICM), that aims to provide listeners with improved speech intelligibility without substantially reducing ESR.
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