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Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.
Pereira T, Ding C, Gadhoumi K, Tran N, Colorado RA, Meisel K, Hu X. Pereira T, et al. Physiol Meas. 2019 Dec 27;40(12):125002. doi: 10.1088/1361-6579/ab5b84. Physiol Meas. 2019. PMID: 31766037 Free PMC article.
Its simplicity and cost-effectiveness has enabled a variety of biomedical applications, such as continuous long-term monitoring of heart arrhythmias, fitness, and sleep tracking, and hydration monitoring. ...
Its simplicity and cost-effectiveness has enabled a variety of biomedical applications, such as continuous long-term monitoring of he …
A Supervised Approach to Robust Photoplethysmography Quality Assessment.
Pereira T, Gadhoumi K, Ma M, Liu X, Xiao R, Colorado RA, Keenan KJ, Meisel K, Hu X. Pereira T, et al. IEEE J Biomed Health Inform. 2020 Mar;24(3):649-657. doi: 10.1109/JBHI.2019.2909065. Epub 2019 Apr 3. IEEE J Biomed Health Inform. 2020. PMID: 30951482 Free PMC article.
New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-term AFib detection are now based on photoplethysmogram (PPG) recordings from wearable devices, ensuring high PPG signal-to-noise ratios i …
New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-te …
Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms?
Bai Y, Do D, Ding Q, Palacios JA, Shahriari Y, Pelter MM, Boyle N, Fidler R, Hu X. Bai Y, et al. IEEE Trans Biomed Eng. 2017 May;64(5):1023-1032. doi: 10.1109/TBME.2016.2586443. Epub 2016 Jun 30. IEEE Trans Biomed Eng. 2017. PMID: 27390164 Free PMC article.
The training dataset is composed of subsequences that are sampled from complete sequences and then further represented as fixed-dimensional vectors by the term frequency inverse document frequency method. The information gain technique and weighted support vector machine a …
The training dataset is composed of subsequences that are sampled from complete sequences and then further represented as fixed-dimensional …