A 48.6-to-105.2 µW Machine Learning Assisted Cardiac Sensor SoC for Mobile Healthcare Applications.
Shu-Yu HsuYingchieh HoPo-Yao ChangChauchin SuChen-Yi LeePublished in: IEEE J. Solid State Circuits (2014)
Keyphrases
- machine learning
- mobile technologies
- health monitoring systems
- patient specific
- mobile phone
- mobile sensor networks
- pattern recognition
- decision trees
- machine learning methods
- sensor networks
- sensor data
- real time
- information systems
- support vector machine
- wearable sensors
- natural language processing
- feature selection
- mobile applications
- computer vision
- middleware architecture
- continuous monitoring
- learning algorithm
- multi sensor
- mobile learning
- mobile devices
- supervised learning
- knowledge acquisition
- health care
- computing environments
- low power
- learning systems
- hardware and software
- mobile computing
- left ventricle
- knowledge discovery
- information extraction
- information technology
- mobile environments
- machine learning algorithms
- artificial intelligence
- fully automatic
- computer science