An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Architecture for a Large Healthcare Information System
IT Professional
MIThril 2003: Applications and Architecture
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Addressing Context Awareness Techniques in Body Sensor Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Securing Medical Sensor Environments: The CodeBlue Framework Case
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Data-Fusion Techniques and Its Application
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Body Sensors: Wireless Access to Physiological Data
IEEE Software
Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Multi-Sensor Data Fusion with MATLAB
Multi-Sensor Data Fusion with MATLAB
An overview of body sensor networks in enabling pervasive healthcare and assistive environments
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
ECG signal monitoring using one-class support vector machine
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
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In the present growing era advancement of computer processing power, data communication capabilities, low power micro electronics devices and micro sensors increases the popularity of wireless sensor network in real life. Body area sensor network is a group of sensor nodes inside and outside the human body for continuous monitoring of health conditions, behavior and activities. Context awareness in pervasive health care is a proactive approach which is different from a conventional event-driven model (for example: visiting doctor when sick) and here we are continuously monitoring a patient health conditions through the use of Body area sensor network. This paper presents a layered architecture of Wide Area Wireless Sensor Body Area Network (WA-WSBAN) along with data fusion techniques, standards and sensor network hardware requirement for context awareness. A BodyMedia sensor dataset collected from 9 different sensor nodes has been used to classify the user activities with reference to different sensor readings. The context information derived from the proposed Wide Area Wireless Sensor Body Area Network (WA-WSBAN) architecture may be used in pervasive healthcare monitoring to detect various events and accurate episodes and unusual patterns and activities obtained from the study can be marked for later review. In this research work patient activity and gender classification has been done by using one to all and multi kernel based support vector data classification. The similar practices may be utilized for the study of various observations in real time health care applications and proactive measures may be initiated based on results obtained from data classification.