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A new method for processing of continuous intracranial pressure signals

✍ Scribed by Per Kristian Eide

Book ID
108207071
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
426 KB
Volume
28
Category
Article
ISSN
1350-4533

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πŸ“œ SIMILAR VOLUMES

The frequency domain versus time domain
The frequency domain versus time domain methods for processing of intracranial pressure (ICP) signals
✍ Sverre Holm; Per Kristian Eide πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 701 KB

Two methods for analyzing intracranial pressure (ICP) waveforms were compared. The frequency domain (FD) method converts the signal from the time domain to the frequency domain by a fast Fourier transform (FFT), while the time domain (TD) method calculates peak-to-peak value of the pulse waveform di

Impact of sampling rate for time domain
Impact of sampling rate for time domain analysis of continuous intracranial pressure (ICP) signals
✍ Sverre Holm; Per Kristian Eide πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 407 KB

Time domain analysis of the intracranial pressure (ICP) waveform is critically dependent on the exact reproduction of the ICP waveform. This study explored how the sampling rate of the ICP signal affects the time domain analysis. It was also assessed through this study how upsampling (interpolation)

Comparison of simultaneous continuous in
Comparison of simultaneous continuous intracranial pressure (ICP) signals from a Codman and a Camino ICP sensor
✍ Per Kristian Eide πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 317 KB

Simultaneous continuous intracranial pressure (ICP) signals from two different sensors were compared. Continuous ICP monitoring from two ICP sensors (i.e. Codman ICP MicroSensor; Johnson & Johnson, Raynham, MA and Camino OLM ICP; Camino Laboratories, San Diego, CA) placed within the brain parenchyma