scholarly journals Real-time assessment of heart rate variability and loss of control eating in adolescent girls: A pilot study

2015 ◽  
Vol 49 (2) ◽  
pp. 197-201 ◽  
Author(s):  
Lisa M. Ranzenhofer ◽  
Scott G. Engel ◽  
Ross D. Crosby ◽  
Mark Haigney ◽  
Micheline Anderson ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pilot Study ◽  
Real Time ◽  
Adolescent Girls ◽  
Loss Of Control ◽  
Loss Of Control Eating ◽  
Time Assessment

scholarly journals Heart rate variability and emotion regulation among individuals with obesity and loss of control eating

2019 ◽  
Vol 199 ◽  
pp. 73-78 ◽  
Author(s):  
Kathryn M. Godfrey ◽  
Adrienne Juarascio ◽  
Stephanie Manasse ◽  
Arpi Minassian ◽  
Victoria Risbrough ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Emotion Regulation ◽  
Loss Of Control ◽  
Loss Of Control Eating

A pilot study of attachment style and emotional experience in adolescent girls with loss of control eating

2016 ◽  
Vol 4 (3) ◽  
pp. 250-263 ◽  
Author(s):  
Lisa M. Ranzenhofer ◽  
Scott G. Engel ◽  
Ross D. Crosby ◽  
Mark Haigney ◽  
Marian Tanofsky-Kraff
Keyword(s):  
Pilot Study ◽  
Attachment Style ◽  
Adolescent Girls ◽  
Emotional Experience ◽  
Loss Of Control ◽  
Loss Of Control Eating

An Examination of Real-Time Heart Rate Variability During Laparoscopic Cholecystectomies and Radical Surgeries

2000 ◽  
Author(s):  
K. Zaglaniczny ◽  
W. Shoemaker ◽  
D. S. Gorguze ◽  
C. Woo ◽  
J. Colombo
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time

scholarly journals The relationship between Gulf War Illness symptom severity and heart rate variability: A pilot study

Life Sciences ◽  
2021 ◽  
pp. 119663
Author(s):  
Kyle J. Jaquess ◽  
Nathaniel Allen ◽  
Timothy J. Chun ◽  
Lucas Crock ◽  
Alexander A. Zajdel ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pilot Study ◽  
Symptom Severity ◽  
Gulf War ◽  
Gulf War Illness ◽  
The Relationship

Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

2018 ◽  
Vol 62 (1) ◽  
pp. 1579-1583
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Situation Awareness ◽  
Mental State ◽  
Time Algorithm ◽  
Support Vector ◽  
Vehicle Design ◽  
Automated Vehicle ◽  
Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

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