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Emerson Keenan

Showing results (1-10 of 34) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
The Influence of Vectorcardiogram Orientation on the T/QRS Ratio Obtained Via Non-Invasive Fetal ECGEmerson Keenan, Chandan Kumar Karmakar, Marimuthu Palaniswami
American Journal of Obstetrics and Gynecology|July 31, 2024
Deep learning to predict fetal acidemiaEmerson Keenan, Antoniya Georgieva, Fiona C Brownfoot
Physiological Measurement|September 21, 2018
The effects of asymmetric volume conductor modeling on non-invasive fetal ECG extractionEmerson Keenan, Chandan Kumar Karmakar, Marimuthu Palaniswami
Frontiers in Medicine|October 3, 2025
Investigating the role of maternal heart rate variability in the onset of laborNamareq Widatalla, Emerson Keenan, Marimuthu Palaniswami, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A ReviewLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise DetectionLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Scientific Reports|June 1, 2024
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signalsLochana Mendis, Marimuthu Palaniswami, Emerson Keenan, et al.
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 10, 2021
Management of late preterm preeclampsia: a comparison of maternal and fetal indications for deliveryStephanie Galibert, Emerson Keenan, Roxanne Hastie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Evaluation of Mesh and Sensor Resolution for Finite Element Modeling of Non-Invasive Fetal ECG SignalsEmerson Keenan, Chandan Karmakar, Fiona C Brownfoot, et al.
IEEE Journal of Translational Engineering in Health and Medicine|July 14, 2025
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography ClassificationLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
The Influence of Vectorcardiogram Orientation on the T/QRS Ratio Obtained Via Non-Invasive Fetal ECGEmerson Keenan, Chandan Kumar Karmakar, Marimuthu Palaniswami
American Journal of Obstetrics and Gynecology|July 31, 2024
Deep learning to predict fetal acidemiaEmerson Keenan, Antoniya Georgieva, Fiona C Brownfoot
Physiological Measurement|September 21, 2018
The effects of asymmetric volume conductor modeling on non-invasive fetal ECG extractionEmerson Keenan, Chandan Kumar Karmakar, Marimuthu Palaniswami
Frontiers in Medicine|October 3, 2025
Investigating the role of maternal heart rate variability in the onset of laborNamareq Widatalla, Emerson Keenan, Marimuthu Palaniswami, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A ReviewLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise DetectionLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Scientific Reports|June 1, 2024
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signalsLochana Mendis, Marimuthu Palaniswami, Emerson Keenan, et al.
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|February 10, 2021
Management of late preterm preeclampsia: a comparison of maternal and fetal indications for deliveryStephanie Galibert, Emerson Keenan, Roxanne Hastie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Evaluation of Mesh and Sensor Resolution for Finite Element Modeling of Non-Invasive Fetal ECG SignalsEmerson Keenan, Chandan Karmakar, Fiona C Brownfoot, et al.
IEEE Journal of Translational Engineering in Health and Medicine|July 14, 2025
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography ClassificationLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
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