A Survey of Sound Source Localization and Detection Methods and Their Applications
G Jekateryńczuk, Z Piotrowski - Sensors, 2023 - mdpi.com
This study is a survey of sound source localization and detection methods. The study
provides a detailed classification of the methods used in the fields of science mentioned …
provides a detailed classification of the methods used in the fields of science mentioned …
[HTML][HTML] Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters: a systematic review
Z Huang, G Aarab, MJL Ravesloot, N Zhou… - Sleep Medicine, 2021 - Elsevier
Background Identification of the obstruction site in the upper airway may help in treatment
selection for patients with sleep-disordered breathing. Because of limitations of existing …
selection for patients with sleep-disordered breathing. Because of limitations of existing …
IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge
In the recent years, a rapid growth of IoT devices has been observed, which in turn results in
a huge amount of data produced from multiple sources towards the most disparate cloud …
a huge amount of data produced from multiple sources towards the most disparate cloud …
[图书][B] Distributed computing and monitoring technologies for older patients
In this book, we summarize recently deployed monitoring approaches with a focus on
automatically detecting health threats for older patients living alone at home. First, in order to …
automatically detecting health threats for older patients living alone at home. First, in order to …
A new event detection method for noisy hydrophone data
In this paper, a new method for detecting events in noisy hydrophone data is developed. The
method takes an image processing approach to the 1D hydrophone data by first converting it …
method takes an image processing approach to the 1D hydrophone data by first converting it …
Weakly Labeled Semi-Supervised Sound Event Detection Based on Convolutional Independent Recurrent Neural Networks
C Yu, D Yang, X Liu - Optical Memory and Neural Networks, 2022 - Springer
Abstract Sound Event Detection (SED) needs to identify the sound events in a recording and
detect the onset and offset times of them. Deep learning-based methods such as Recurrent …
detect the onset and offset times of them. Deep learning-based methods such as Recurrent …
Glucose monitoring system based on osmotic pressure measurements
This paper presents the design and development of a prototype sensor unit for
implementation in a long-term glucose monitoring system suitable for estimating glucose …
implementation in a long-term glucose monitoring system suitable for estimating glucose …
Datasets
Publicly available datasets constitute the ground to evaluate and compare the performance
of proposed approaches for monitoring older patients at home. In this chapter, we shed light …
of proposed approaches for monitoring older patients at home. In this chapter, we shed light …