Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients.
Oscar GarnicaJuan LancharesJ. Manuel VelascoJosé Ignacio HidalgoMarta BotellaPublished in: Biomed. Signal Process. Control. (2020)
Keyphrases
- spectral analysis
- error estimation
- blood glucose
- real life
- diabetic patients
- blood pressure
- continuous monitoring
- model selection
- diabetes mellitus
- high risk
- error estimates
- cardiovascular disease
- medical data
- heart rate variability
- autoregressive
- signal to noise ratio
- image processing
- speech signal
- chronic disease
- data sets
- risk factors
- filter bank
- support vector machine
- multiscale
- generalization error
- cross validation
- training data
- feature extraction
- feature selection