Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Madhurananda Pahar"'
Publikováno v:
IEEE Access, Vol 11, Pp 30739-30752 (2023)
We present a new machine learning based bed occupancy detection system that uses only the accelerometer signal captured by a bed-attached consumer smartphone. Automatic bed occupancy detection is necessary for automatic long-term cough monitoring sin
Externí odkaz:
https://doaj.org/article/a4226a9ca799408d918e0e3ac366f6e0
Publikováno v:
2022 International Conference on Engineering and Emerging Technologies (ICEET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66cd0f84a13ca9f68ae0aa44ea37352
https://doi.org/10.1109/iceet56468.2022.10007261
https://doi.org/10.1109/iceet56468.2022.10007261
Autor:
Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas Diacon, Thomas Niesler
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET).
We present a deep learning based automatic cough classifier which can discriminate tuberculosis (TB) coughs from COVID-19 coughs and healthy coughs. Both TB and COVID-19 are respiratory diseases, contagious, have cough as a predominant symptom and cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ceb76b6d556bba020a5d048ac6f9f8
https://doi.org/10.1109/icecet55527.2022.9873469
https://doi.org/10.1109/icecet55527.2022.9873469
Publikováno v:
Computers in Biology and Medicine
We present an experimental investigation into the effectiveness of transfer learning and bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath and speech. This type of screening is non-contact, does not require sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1f21b1692bb5760ccd32de5b8e97819
https://pubmed.ncbi.nlm.nih.gov/34954610
https://pubmed.ncbi.nlm.nih.gov/34954610
We present an automatic non-invasive way of detecting cough events based on both accelerometer and audio signals. The acceleration signals are captured by a smartphone firmly attached to the patient's bed, using its integrated accelerometer. The audi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::548a57fe7e5730fb05b2baf1018f9751
http://arxiv.org/abs/2109.00103
http://arxiv.org/abs/2109.00103
Publikováno v:
ICASSP
We have performed cough detection based on measurements from an accelerometer attached to the patient's bed. This form of monitoring is less intrusive than body-attached accelerometer sensors, and sidesteps privacy concerns encountered when using aud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564716bdadcc82946c09e039956d39ee
http://arxiv.org/abs/2102.04997
http://arxiv.org/abs/2102.04997
Autor:
Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas Diacon, Thomas Niesler
We present `wake-cough', an application of wake-word spotting to coughs using a Resnet50 and the identification of coughers using i-vectors, for the purpose of a long-term, personalised cough monitoring system. Coughs, recorded in a quiet (73$\pm$5 d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8008b76aeda218ad59266aaa466200a4
Autor:
Leslie S. Smith, Madhurananda Pahar
Publikováno v:
SSCI
A spike (event) based sound coding technique has been presented in this study where the spikes are similar to the spikes exhibited by type 1 fibers of the auditory nerve. This lossy coding technique has already been shown useful for inter-aural time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d266b709ae2aefbffb225ecdaafa63c7
http://dspace.stir.ac.uk/bitstream/1893/32394/1/PID6701133.pdf
http://dspace.stir.ac.uk/bitstream/1893/32394/1/PID6701133.pdf