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 …

[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 …

IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge

ZH Janjua, M Vecchio, M Antonini, F Antonelli - Engineering Applications of …, 2019 - Elsevier
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 …

[图书][B] Distributed computing and monitoring technologies for older patients

J Klonovs, MA Haque, V Krueger, K Nasrollahi… - 2015 - Springer
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 …

A new event detection method for noisy hydrophone data

F Sattar, PF Driessen, G Tzanetakis, WH Page - Applied Acoustics, 2020 - Elsevier
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 …

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 …

Glucose monitoring system based on osmotic pressure measurements

A Leal, A Valente, A Ferreira, S Soares… - Sensors & …, 2011 - search.proquest.com
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 …

Datasets

J Klonovs, MA Haque, V Krueger, K Nasrollahi… - … Technologies for Older …, 2016 - Springer
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 …