Evaluating the lower-body electromyogram signal acquired from the feet as a noise reference for standing ballistocardiogram measurements.
Omer T. InanGregory T. A. KovacsLaurent GiovangrandiPublished in: IEEE Trans. Inf. Technol. Biomed. (2010)
Keyphrases
- human body
- random noise
- measurement noise
- additive noise
- low signal to noise ratio
- white noise
- signal detection
- body parts
- additive gaussian noise
- low snr
- noisy environments
- measurement errors
- wide band
- measured data
- received signal
- signal processing
- frequency domain
- physiological parameters
- missing data
- original signal
- noise variance
- noise model
- noise level
- noisy data
- denoising methods
- non stationary
- signal strength
- low frequency
- response function
- biomedical signals
- noise elimination
- direct sequence spread spectrum
- impulse response
- wiener filter
- power spectrum
- noisy images
- independent component analysis
- quantization noise
- stochastic resonance
- power spectra
- high frequency
- short time fourier transform
- image restoration
- image processing
- high signal to noise ratio
- weak signal
- denoising
- signal to noise ratio
- distorted images
- single channel