scholarly journals Robust cardiac event change detection method for long‐term healthcare monitoring applications

2016 ◽  
Vol 3 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Udit Satija ◽  
Barathram Ramkumar ◽  
M Sabarimalai Manikandan
Keyword(s):  
Change Detection ◽  
Cardiac Event ◽  
Detection Method ◽  
Monitoring Applications ◽  
Healthcare Monitoring

scholarly journals A Power-Efficient Bio-Potential Acquisition Device with DS-MDE Sensors for Long-Term Healthcare Monitoring Applications

Sensors ◽  
2010 ◽  
Vol 10 (5) ◽  
pp. 4777-4793 ◽  
Author(s):  
Chia-Lin Chang ◽  
Chih-Wei Chang ◽  
Hong-Yi Huang ◽  
Chen-Ming Hsu ◽  
Chia-Hsuan Huang ◽  
...  
Keyword(s):  
Power Efficient ◽  
Monitoring Applications ◽  
Healthcare Monitoring ◽  
Acquisition Device

Vivid Imagers Are Better at Detecting Salient Changes

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman
Keyword(s):  
Individual Differences ◽  
Change Detection ◽  
Visual Imagery ◽  
Detection Task ◽  
Level Of Detail ◽  
Detection Accuracy ◽  
Change Detection Task ◽  
Term Change ◽  
High Level

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.

A Novel Change Detection Method for Unregistered Optical Satellite Images

2012 ◽  
Vol E95.B (5) ◽  
pp. 1890-1893
Author(s):  
Wang LUO ◽  
Hongliang LI ◽  
Guanghui LIU ◽  
Guan GUI
Keyword(s):  
Change Detection ◽  
Satellite Images ◽  
Detection Method ◽  
Optical Satellite Images

Sex Differences in Perioperative and Long-term Cardiac Event–Free Survival in Vascular Surgery Patients

Circulation ◽  
1995 ◽  
Vol 91 (4) ◽  
pp. 1044-1051 ◽  
Author(s):  
Robert C. Hendel ◽  
Ming Hui Chen ◽  
Gilbert J. L’Italien ◽  
John B. Newell ◽  
Sumita D. Paul ◽  
...  
Keyword(s):  
Sex Differences ◽  
Vascular Surgery ◽  
Cardiac Event ◽  
Event Free Survival ◽  
Free Survival

Gray change detection method for damage monitoring in materials

2015 ◽  
Vol 54 (4) ◽  
pp. 934 ◽  
Author(s):  
Xiaochuan Zhang ◽  
Ge Yang ◽  
Nan Zhan ◽  
Hongwei Ji
Keyword(s):  
Change Detection ◽  
Detection Method ◽  
Damage Monitoring
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