2013
DOI: 10.1007/978-3-642-37893-5_24
|View full text |Cite
|
Sign up to set email alerts
|

Mobile Multi-parametric Sensor System for Diagnosis of Epilepsy and Brain Related Disorders

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…Shu et al [24] presented a comprehensive review on physiological signalbased emotion recognition and conduct a summary and comparison of the recent studies. In recent years, the application on disease diagnosis based on multi-sensor fusion has also been emerging, such as epilepsy diagnosis [27], atrial hypertrophy disease diagnosis [28], and children's chronic illness monitoring [29]. In addition, there are rehabilitation applications including intelligent body posture analysis model [30], rehabilitation exoskeleton [31], end-of-arm force display system [32] and so on.…”
Section: A Bsns Applications Based On Information Fusionmentioning
confidence: 99%
“…Shu et al [24] presented a comprehensive review on physiological signalbased emotion recognition and conduct a summary and comparison of the recent studies. In recent years, the application on disease diagnosis based on multi-sensor fusion has also been emerging, such as epilepsy diagnosis [27], atrial hypertrophy disease diagnosis [28], and children's chronic illness monitoring [29]. In addition, there are rehabilitation applications including intelligent body posture analysis model [30], rehabilitation exoskeleton [31], end-of-arm force display system [32] and so on.…”
Section: A Bsns Applications Based On Information Fusionmentioning
confidence: 99%
“…Compared with a battlefield situation, we are more concerned with the physiology of a soldier, which is a neglected part of current military smart devices. Previous research on wearable technology mainly focuses on disease diagnosis [13,14], physical rehabilitation [15], and action recognition [16] in non-military fields. However, these techniques are not suitable for highly trained soldiers on the battlefield.…”
Section: Introductionmentioning
confidence: 99%