scholarly journals Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning

2020 ◽  
Vol 67 (6) ◽  
pp. 1696-1706
Author(s):  
Wei-Long Zheng ◽  
Haoqi Sun ◽  
Oluwaseun Akeju ◽  
M. Brandon Westover
Keyword(s):  
Online Learning ◽  
Icu Patients ◽  
Sedation Monitoring

scholarly journals Algorithm for Quantifying Frontal EMG Responsiveness for Sedation Monitoring

2014 ◽  
Vol 41 (5) ◽  
pp. 611-619 ◽  
Author(s):  
Timo Petteri Lapinlampi ◽  
Hanna Elina Viertiö-Oja ◽  
Matti Helin ◽  
Kimmo Henrik Uutela ◽  
Mika Olli Kristian Särkelä ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Deep Sedation ◽  
Response Patterns ◽  
Icu Patients ◽  
Development Data ◽  
Sedation Monitoring ◽  
Sedation Scores ◽  
Ri Algorithm ◽  
Low Probability ◽  
Stimulation Of

AbstractIntroductionTo study stimulation-related facial electromyographic (FEMG) activity in intensive care unit (ICU) patients, develop an algorithm for quantifying the FEMG activity, and to optimize the algorithm for monitoring the sedation state of ICU patients.MethodsFirst, the characteristics of FEMG response patterns related to vocal stimulation of 17 ICU patients were studied. Second, we collected continuous FEMG data from 30 ICU patients. Based on these data, we developed the Responsiveness Index (RI) algorithm that quantifies FEMG responses. Third, we compared the RI values with clinical sedation level assessments and adjusted algorithm parameters for best performance.ResultsIn patients who produced a clinically observed response to the vocal stimulus, the poststimulus FEMG power was 0.33 µV higher than the prestimulus power. In nonresponding patients, there was no difference. The sensitivity and specificity of the developed RI for detecting deep sedation in the subgroup with low probability of encephalopathy were 0.90 and 0.79, respectively.ConclusionConsistent FEMG patterns were found related to standard stimulation of ICU patients. A simple and robust algorithm was developed and good correlation with clinical sedation scores achieved in the development data.

Expanding online learning in community psychology: A dialogue

2013 ◽  
Author(s):  
Bill Berkowitz ◽  
Cesareo Fernandez ◽  
Christina Holt ◽  
Leonard Jason ◽  
Sarah Callahan ◽  
...  
Keyword(s):  
Online Learning ◽  
Community Psychology

A motivation treatment to enhance goal engagement in online learning environments: Assisting failure-prone college students with low optimism.

2019 ◽  
Vol 5 (2) ◽  
pp. 116-134 ◽  
Author(s):  
Jeremy M. Hamm ◽  
Raymond P. Perry ◽  
Judith G. Chipperfield ◽  
Patti C. Parker ◽  
Jutta Heckhausen
Keyword(s):  
College Students ◽  
Online Learning ◽  
Learning Environments ◽  
Online Learning Environments

Evaluation of an online learning academy of peer specialists.

2019 ◽  
Vol 42 (2) ◽  
pp. 132-138 ◽  
Author(s):  
Amy B. Spagnolo ◽  
Kenneth Gill ◽  
Rita Cronise ◽  
Annette Backs ◽  
Karen Richards ◽  
...  
Keyword(s):  
Online Learning ◽  
Peer Specialists
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