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of 14
pro vyhledávání: '"Harry J. Davies"'
Autor:
Marek Żyliński, Amir Nassibi, Edoardo Occhipinti, Adil Malik, Matteo Bermond, Harry J. Davies, Danilo P. Mandic
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 911-920 (2024)
Background: Ambulatory heart rate (HR) monitors that acquire electrocardiogram (ECG) or/and photoplethysmographm (PPG) signals from the torso, wrists, or ears are notably less accurate in tasks associated with high levels of movement compared to clin
Externí odkaz:
https://doaj.org/article/2c7a3eb440da44e3a9459fdab9901e05
Autor:
Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 148-156 (2024)
The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techniques are
Externí odkaz:
https://doaj.org/article/9614f87448ae4814921b8b144b44fc52
Publikováno v:
Sensors, Vol 20, Iss 17, p 4879 (2020)
The non-invasive estimation of blood oxygen saturation (SpO2) by pulse oximetry is of vital importance clinically, from the detection of sleep apnea to the recent ambulatory monitoring of hypoxemia in the delayed post-infective phase of COVID-19. In
Externí odkaz:
https://doaj.org/article/23cfb69f4cdb42e8ab94f37e2200f803
Autor:
Harry J. Davies, Patrik Bachtiger, Ian Williams, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:2390-2400
An ability to extract detailed spirometry-like breath-ing waveforms from wearable sensors promises to greatly improve respiratory health monitoring. Photoplethysmography (PPG) has been researched in depth for estimation of respiration rate, given tha
Autor:
Harry J. Davies, Danilo P. Mandic
Publikováno v:
Biomedical Signal Processing and Control. 85:104992
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
The feasibility of using in-ear [Formula: see text] to track cognitive workload induced by gaming is investigated. This is achieved by examining temporal variations in cognitive workload through the game Geometry Dash, with 250 trials across 7 subjec
Autor:
Harry J. Davies, Ian Williams, Ghena Hammour, Metin Yarici, Michael J. Stacey, Barry M. Seemungal, Danilo P. Mandic
Classification of cognitive workload promises immense benefit in diverse areas ranging from driver safety to augmenting human capability through closed loop brain computer interface. The brain is the most metabolically active organ in the body and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d290b589472f49dad54e1ae6f98a34db
http://hdl.handle.net/10044/1/99382
http://hdl.handle.net/10044/1/99382
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Publikováno v:
SpringerBriefs in Electrical and Computer Engineering ISBN: 9783030604592
The Brain Computer Interface (BCI) of the near future must be suitable for widespread use in real-world environments. As such, it will be robust, portable, user friendly and discreet—and ideally wearable. In addition, for ‘affective’ functional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::161394abea5f7d5b8599e893da3e1bc6
https://doi.org/10.1007/978-3-030-60460-8_7
https://doi.org/10.1007/978-3-030-60460-8_7