Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Karmakar, Chandan"'
Autor:
Islam, Sheikh Mohammed Shariful, Abrar, Moloud, Tegegne, Teketo, Loranjo, Liliana, Karmakar, Chandan, Awal, Md Abdul, Hossain, Md. Shahadat, Kabir, Muhammad Ashad, Mahmud, Mufti, Khosravi, Abbas, Siopis, George, Moses, Jeban C, Maddison, Ralph
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have
Externí odkaz:
http://arxiv.org/abs/2407.16721
Autor:
Islam, Sheikh Mohammed Shariful, Cartledge, Susie, Karmakar, Chandan, Rawstorn, Jonathan Charles, Fraser, Steve F, Chow, Clara, Maddison, Ralph
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 10, p e14706 (2019)
BackgroundBlood pressure (BP) is an important modifiable cardiovascular risk factor, yet its long-term monitoring remains problematic. Wearable cuffless devices enable the capture of multiple BP measures during everyday activities and could improve B
Externí odkaz:
https://doaj.org/article/3ecf50515d94438f9f6af466fbcb5821
Traditional DL models are complex and resource hungry and thus, care needs to be taken in designing Internet of (medical) things (IoT, or IoMT) applications balancing efficiency-complexity trade-off. Recent IoT solutions tend to avoid using deep-lear
Externí odkaz:
http://arxiv.org/abs/2301.09232
Publikováno v:
In Building and Environment 1 August 2024 261
Publikováno v:
In Computer Methods and Programs in Biomedicine August 2024 253
Publikováno v:
In Internet of Things July 2024 26
Deep-learning based QRS-detection algorithms often require essential post-processing to refine the prediction streams for R-peak localisation. The post-processing performs signal-processing tasks from as simple as, removing isolated 0s or 1s in the p
Externí odkaz:
http://arxiv.org/abs/2110.04130
Publikováno v:
In Journal of Safety Research September 2024 90:100-114
Autor:
Nasirzadeh, Farnad, Karmakar, Chandan, Habib, Ahsan, Benny Neelangal, Kevin, Mir, Mostafa, Lee, SangHyun, Arnel, Tony
Publikováno v:
In Heliyon 30 March 2024 10(6)
Automated QRS detection methods depend on the ECG data which is sampled at a certain frequency, irrespective of filter-based traditional methods or convolutional network (CNN) based deep learning methods. These methods require a selection of the samp
Externí odkaz:
http://arxiv.org/abs/2007.02052