Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis.
Bin MaZhaolong WuShengyu LiRyan BentonDongqi LiYulong HuangMohan Vamsi KasukurthiJingwei LinGlen M. BorchertShaobo TanGang LiMeihong YangJingshan HuangPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- real time
- smart phones
- machine learning
- mobile devices
- support vector
- sleep apnea
- mobile platform
- obstructive sleep apnea
- mobile phone
- support vector machine
- feature selection
- development process
- kernel methods
- mobile computing
- software engineering
- pattern recognition
- learning algorithm
- neural network
- learning tasks
- software architecture
- mobile applications
- generalization ability
- user behavior
- processing power
- open standards
- sleep stage