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Automatic non-invasive Cough Detection based on Accelerometer and Audio
  Signals

Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals

31 August 2021
Madhurananda Pahar
Igor Miranda
A. Diacon
T. Niesler
ArXiv (abs)PDFHTML

Papers citing "Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals"

11 / 11 papers shown
Title
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer
  Learning and Bottleneck Features
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features
Madhurananda Pahar
Marisa Klopper
Robin Warren
T. Niesler
72
77
0
02 Apr 2021
Automatic Cough Classification for Tuberculosis Screening in a
  Real-World Environment
Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment
Madhurananda Pahar
Marisa Klopper
B. Reeve
G. Theron
Robin Warren
T. Niesler
26
68
0
23 Mar 2021
Deep Neural Network based Cough Detection using Bed-mounted
  Accelerometer Measurements
Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements
Madhurananda Pahar
Igor Miranda
A. Diacon
T. Niesler
MLAU
28
20
0
09 Feb 2021
COVID-19 Cough Classification using Machine Learning and Global
  Smartphone Recordings
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Madhurananda Pahar
Marisa Klopper
Robin Warren
T. Niesler
72
239
0
02 Dec 2020
Objective Study of Sensor Relevance for Automatic Cough Detection
Objective Study of Sensor Relevance for Automatic Cough Detection
Thomas Drugman
J. Urbain
N. Bauwens
Ricardo Chessini
C. Valderrama
P. Lebecque
Thierry Dutoit
OOD
42
78
0
30 Dec 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
  Memory (LSTM) Network
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
A. Sherstinsky
95
3,730
0
09 Aug 2018
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced
  Datasets in Machine Learning
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
G. Lemaître
Fernando Nogueira
Christos K. Aridas
79
2,068
0
21 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough
  Detection System
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System
Justice Amoh
K. Odame
HAI
66
53
0
08 Sep 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
432
43,814
0
01 May 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,686
0
09 Jun 2011
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