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Sleep
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November 30, 2022
Dementia detection from brain activity during sleep
Elissa M Ye, Haoqi Sun, Parimala V Krishnamurthy, et al.
Journal of Clinical Monitoring and Computing
|
February 18, 2017
ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit
Dennis J Rebergen, Sunil B Nagaraj, Eric S Rosenthal, et al.
Otolaryngologic Clinics of North America
|
February 7, 2017
Transfacial and Craniofacial Approaches for Resection of Sinonasal and Ventral Skull Base Malignancies
Elizabeth L Perkins, Bryan M Brandon, Satyan B Sreenath, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|
March 6, 2025
A Quantitative Electroencephalographic Index for Stroke Detection in Adults
Mauro Caffarelli, Roxanne Simmons, Illya Tolokh, et al.
Sleep
|
August 19, 2024
What radio waves tell us about sleep!
Hao He, Chao Li, Wolfgang Ganglberger, et al.
Journal of Alzheimer'S Disease : JAD
|
February 23, 2024
Altered Motor Activity Patterns within 10-Minute Timescale Predict Incident Clinical Alzheimer's Disease
Haoqi Sun, Peng Li, Lei Gao, et al.
Critical Care Medicine
|
January 16, 2020
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
Matthew A Reyna, Christopher S Josef, Russell Jeter, et al.
American Journal of Hospital Pharmacy
|
February 1, 1977
Detecting prescribing problems through drug usage review: a case study
F B Palumbo, D A Knapp, B M Brandon, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|
June 4, 2016
Automation of Classical QEEG Trending Methods for Early Detection of Delayed Cerebral Ischemia: More Work to Do
Ellis Wickering, Nicolas Gaspard, Sahar Zafar, et al.
Epilepsy & Behavior : E&B
|
November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data
Sungtae An, Kunal Malhotra, Cynthia Dilley, et al.
Page
of 55
Search research articles
Search
Showing results (281-290 of 544) with videos related to
Sort By:
Page
of 55
Sleep
|
November 30, 2022
Dementia detection from brain activity during sleep
Elissa M Ye, Haoqi Sun, Parimala V Krishnamurthy, et al.
Journal of Clinical Monitoring and Computing
|
February 18, 2017
ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit
Dennis J Rebergen, Sunil B Nagaraj, Eric S Rosenthal, et al.
Otolaryngologic Clinics of North America
|
February 7, 2017
Transfacial and Craniofacial Approaches for Resection of Sinonasal and Ventral Skull Base Malignancies
Elizabeth L Perkins, Bryan M Brandon, Satyan B Sreenath, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|
March 6, 2025
A Quantitative Electroencephalographic Index for Stroke Detection in Adults
Mauro Caffarelli, Roxanne Simmons, Illya Tolokh, et al.
Sleep
|
August 19, 2024
What radio waves tell us about sleep!
Hao He, Chao Li, Wolfgang Ganglberger, et al.
Journal of Alzheimer'S Disease : JAD
|
February 23, 2024
Altered Motor Activity Patterns within 10-Minute Timescale Predict Incident Clinical Alzheimer's Disease
Haoqi Sun, Peng Li, Lei Gao, et al.
Critical Care Medicine
|
January 16, 2020
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
Matthew A Reyna, Christopher S Josef, Russell Jeter, et al.
American Journal of Hospital Pharmacy
|
February 1, 1977
Detecting prescribing problems through drug usage review: a case study
F B Palumbo, D A Knapp, B M Brandon, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|
June 4, 2016
Automation of Classical QEEG Trending Methods for Early Detection of Delayed Cerebral Ischemia: More Work to Do
Ellis Wickering, Nicolas Gaspard, Sahar Zafar, et al.
Epilepsy & Behavior : E&B
|
November 10, 2018
Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data
Sungtae An, Kunal Malhotra, Cynthia Dilley, et al.
Page
of 55