Non-invasive Blood Glucose Measurement with Mid-infrared Signal by Machine Learning Schemes.
Jiang LiuYang ChenShigeru ShimamotoPublished in: GLOBECOM (Workshops) (2022)
Keyphrases
- infrared
- machine learning
- blood glucose
- infrared images
- diabetic patients
- signal processing
- blood pressure
- multi sensor
- machine learning methods
- target detection
- infrared imagery
- visible spectrum
- heart rate
- high frequency
- electro optical
- infrared video
- target detection and tracking
- automatic target recognition
- diabetes mellitus
- data mining
- hyperspectral
- focal plane
- visible light
- non stationary
- short term and long term
- thermal infrared
- long term
- statistical methods