Abstract:
The disclosed filter (120) removes cardiac artifacts (310) from signals representative of a patient's cerebral activity. The filter preferably replaces portions of the signal including artifacts with temporally adjacent artifact free portions.
Abstract:
A system and method to obtain (19) unipolar EEG signals from electrodes (13) attached to a patient's head (14). The EEG signals are detected by the electrodes and transmitted over a patient cable (16) to the EEG data acquisition and analysis system (12). The system (12) generates all power spectrum, bispectrum, and higher-order spectrum arrays. These arrays are then used in conjunction with clinically predetermined coefficient arrays to produce diagnostic indices. These indices are sent to the host computer (18) and are displayed on the graphics display (2). Printed output of the diagnostic index is also available on the hard copy output device (22) which is connected to the microcomputer (18). The operator interacts with the acquisition and analysis components of the system by means of a user input device (24) with feedback on the graphics display (20).
Abstract:
An array of electrodes is constructed to allow the user to easily adjust to the correct size of the patient's head. The array is self-adhesive, pre-gelled and disposable. The array fits easily over the temple and forehead areas where EEG signals can be acquired by specially designed monitors for purposes of monitoring a number of bodily phenomena, including but not limited to, depth of anesthesia, and/or ischemia, and burst suppression. The array is connected to the monitor via a tab connector that is integral to the disposable device. The tab connector is insertible into a reusable connector that is part of a monitoring system.
Abstract:
An EEG monitor utilizes a portable acquisition module (14) and a substantially stationary processing module (12). The EEG signals are acquired and converted to an oversampled stream of digital signals by a sigma-delta modulator (64) located in the data acquisition module. The signals are then filtered by a decimation filter (62) located in the processing module. Additional means are also provided to monitor the electrode leads to detect when the leads become unplugged. The monitor provides all power to the data acquisition module over a single twisted line which transmits data as well.
Abstract:
Disclosed is a disposable self-prepping electrode (10) which utilizes an array or mat of flexile tines (24) which serve to part the high impendance outer layers of skin to expose the low impendance, blood enriched layers without scratching or abrading. The tines (24) are preferably imbedded in a conductive gel layer (14). In an alternate embodiment, a self-prepping layer of flexile tines (24) embedded in gel (14) may be a single disposable self-prepping layer that is mounted over a permanent electrode (22).
Abstract:
Disclosed is a physiological electrical signal connector system (20) with one connector (20a) connected to an electrode set (24) and another connector (20b) connected to a digital signal convertor (14) which leads to a patient monitor (10). Each type of electrode set has a specific code identified with it and when connected to the digital signal convertor (14), the connector code is recognized by the digital signal convertor. The connector code is then relayed to the monitor (10) which will self-configure based on the identified code.
Abstract:
Disclosed is a system, comprising a microcomputer (18), a user input device (24), a graphics display (20), a hard copy output device (22), a method to derive a diagnostic index indicative of a selected cerebral phenomena which obtains (19) unipolar EEG signals in an acquisition, and an analysis system (12) from regions of interest on both the left and right hemispheres of the brain of a subject (15). The system uses high gain, low noise amplifiers to maximize the dynamic range for low energy wave components of the signals. Band-pass filtering is used to reduce noise and to avoid an alias. The system applies commonly used digital signal processing (DSP) techniques to digitize, to low pass filter (100Hz), and to decimate the signals. Power spectral, bi-spectral, and higher order spectral processing is then performed.