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:
The invention provides a method of estimating cerebral sources of electrical activity from a small subset of EEG channels utilizing existing methods to provide a 3dimensional, discrete, distributed, linear solution to the inverse problem using inputs consisting of a small number of EEG channels (e.g., 4 channels) augmented with synthetic EEG data for the other channels. The resultant image of cerebral electrical activity in the region of the EEG channels from which data is recorded is of comparable spatial resolution in the corresponding region to images of cerebral electrical activity obtained using a complete set of EEG channels (e.g., using 24 channels).
Abstract:
A PTT (Pulse Transit Time) monitoring system for measuring arousal and responses to stress or pain during sedation or anesthesia includes ECG electrodes and a PPG (photo plethysmography) probe connected to a computer via signal conditioning and digitizing hardware. The ECG and PPG waveforms are continuously analyzed to update and display a current estimate of the subject's PPT from heart to hand. For each cardiac cycle, fiducial points are identified to indicate the pulse onset time (via QRS detection in the ECG) and pulse arrival time (via the point of steepest ascent in the PPG). Finally, the current PTT estimate is displayed numerically and the trend of PTT is updated every second. Clinicians may interpret the instantaneous PTT value directly or in context of its recent trend. If there is a rapid decrease in PTT much less than the predetermined baseline value when the patient should be unconscious and free of stress and pain, then supplemental analgesics are administered to bring PTT greater than or equal to such baseline value.
Abstract:
The system and method for predicting and measuring a subject's analgesic state and analgesic adequacy. Biopotential signals are obtained from a subject through electrodes. A processor will compute a measure that is representative of the subject's sedative state and/or muscle activity. A metric representative of such measures is then determined. In the case where a measure is taken of both the subjects’ sedative state and muscle activity the two measures are combined into an index representative of the subject's analgesic state and analgesic adequacy.
Abstract:
Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient’s body, a processor for computing from the EEG signals various features and indices that are representative of the patient’s neurological or psychological state. Pretreatment indices represent a patient’s neurological or psychological state and therefore may be used to predict the response to treatment. 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:
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:
Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient’s body, a processor for computing from the EEG signals various features and indices that are representative of the patient’s neurological or psychological state. Pretreatment indices represent a patient’s neurological or psychological state and therefore may be used to predict the response to treatment. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.