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:
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 and method of assessing the efficacy of treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes (15) to acquire EEG signals from the surface of a patient's body, and a processor (35) for computing from the EEG signals various features and indices that are representative of the patient's neurological or psychological state. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.
Abstract:
An electrophysiological electrode includes multiple layers of materials to isolate liquid electrolytic gels (39) from the conductive inks (13) on the flexible circuit (15) of the electrode substrate (14). Such an electrode has a much longer shelf life under normal storage conditions than other electrodes of such construction with high salt content liquid electrolytic gel, and is able to maintain acceptable impedance upon its eventual use.
Abstract:
An electrophysiological electrode includes multiple layers of materials to isolate liquid electrolytic gels (39) from the conductive inks (13) on the flexible circuit (15) of the electrode substrate (14). Such an electrode has a much longer shelf life under normal storage conditions than other electrodes of such construction with high salt content liquid electrolytic gel, and is able to maintain acceptable impedance upon its eventual use.
Abstract:
Disclosed is an electrode array (i.e., 'sensor') and a method for separating near and far-field signals. In one embodiment a horizontal array is used, and in an alternate embodiment a vertical array is used. The electrode array consists of two well-separated pairs of closely spaced electrodes (and a separate ground element). In a typical application of collecting a channel of EEG, 'sensing' electrodes are placed in standard locations (e.g., R and Ctr) with a ground electrode placed elsewhere on the head. The voltage measured between the well-separated sensing electrodes is the far-field dominant (i.e., EEG-dominant) channel. Additional electrodes are placed near each of the two sensing electrodes. (The additional electrodes are immediately lateral to the existing electrodes in the horizontal array, and are immediately above the existing electrodes in the vertical array.) The voltages measured between the pairs of closely spaced electrodes are near-field dominant (i.e., EMG/EOG-dominant) channels. The EEG, EMG and EOG signals can be enhanced by uncoupling them by combining information from all channels. The sensor is connected to a monitor via a patient interface cable (PIC). The sensor contains additional circuitry at the connection site that is used by the monitor to identify the presence and type of sensor, and to configure the monitor to invoke the appropriate software that will apply the method of the current invention to collect and uncouple the EEG, EMG and EOG.
Abstract:
The present invention is a system and method of deriving and computing features and indices that predict the likelihood of psychological and neurological adverse events such as suicidal thoughts and/or actions. The method of the present invention further predicts the likelihood of suicidal thoughts and/or actions prior to and or during treatment for psychological disease. To obtain such features and indices, power spectrum and time domain values are derived from biopotential signals acquired from the subject being tested. The system and method identify people who are likely to experience changing, especially worsening, symptoms of psychological and neurological adverse events such as suicidal thoughts or actions and who therefore may be at risk (e.g. suicide).
Abstract:
The present invention is a system and method that produces features and indices that indicate the presence or absence of a disease or condition, or of the progression of a disease or condition. The system and method of the present invention also produce features and indices that predict responsiveness to medication from a premedication baseline. The system and method of the present invention further incorporates a testing methodology to improve the performance characteristics of the features or indices. To obtain such features and indices, time domain, power spectrum, bispectrum and higher order spectrum values are derived from biopotential signals taken from the subject being tested.
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.