A Noninvasive Blood Glucose Monitoring System Based on Smartphone PPG Signal Processing and Machine Learning.
Gaobo ZhangZhen MeiYuan ZhangXuesheng MaBenny LoDongyi ChenYuan-Ting ZhangPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- monitoring system
- signal processing
- machine learning
- blood pressure
- blood glucose
- independent component analysis
- heart rate
- pattern recognition
- vital signs
- diabetic patients
- mobile devices
- data mining
- machine learning methods
- health monitoring
- computational intelligence
- heterogeneous wireless sensor networks
- intrusion detection
- diabetes mellitus
- ambient intelligence
- statistical methods
- patient care
- short term and long term