| Patent application number | Description | Published |
|---|
| 20080208070 | Defibrillator with Automatic Shock First/Cpr First Algorithm - An automated external defibrillator (AED) with an improved rescue protocol is described which follows a “shock first” or a “CPR first” rescue protocol after identification of a treatable arrhythmia, depending upon an estimate of the probability of successful resuscitation made from an analysis of a patient parameter measured at the beginning of the rescue. | 08-28-2008 |
| 20080208074 | Methods and Systems for Characterizing and Generating a Patient-Specific Seizure Advisory System - A method of developing a brain state advisory system including the following steps: deriving a brain state advisory algorithm; applying the brain state advisory algorithm to patient EEG data to identify occurrences of the target patient brain state (such as, e.g., a pro-ictal state or a contra-ictal state) in the patient EEG data; determining if a performance measure of the advisory algorithm for the target brain state exceeds the performance measure of a chance predictor for the target brain state; and if the performance measure of the advisory algorithm for the target brain state exceeds the performance measure of a chance predictor for the target brain state, storing the advisory algorithm in memory of the brain state advisory system. The invention also includes seizure advisory systems. | 08-28-2008 |
| 20080208781 | REDUCTION OF CLASSIFICATION ERROR RATES AND MONITORING SYSTEM USING AN ARTIFICIAL CLASS - Systems and methods for enhancing the accuracy of classifying a measurement by providing an artificial class. Seizure prediction systems may employ a classification system including an artificial class and a user interface for signaling uncertainty in classification when a measurement is classified in the artificial class. | 08-28-2008 |
| 20080234598 | Implantable Systems and Methods for Identifying a Contra-ictal Condition in a Subject - Systems and methods of monitoring a subject's neurological condition are provided. In some embodiments, the method includes the steps of analyzing a physiological signal (such as an EEG) from a subject to determine if the subject is in a contra-ictal condition; and if the subject is in a contra-ictal condition, providing an indication (e.g., to the subject and/or to a caregiver) that the subject is in the contra-ictal condition. The systems and methods may utilize a minimally invasive, leadless device to monitor the subject's condition. In some embodiments, if the subject is in a pro-ictal condition, the method includes the step of providing an indication (such as a red light) that the subject is in the pro-ictal condition. | 09-25-2008 |
| 20080312708 | Automatic External Defibrillator with Increased Cpr Administration Time - An automated external defibrillator (AED) is described which spends an increased proportion of a rescue in a CPR mode. This is accomplished by use of a single shock protocol which causes the AED to spend less time in shock analysis and delivery activities as compared with the typical multiple shock protocol. An AED of the present invention preferably is configured at the factory with a single shock protocol as the default rescue protocol. The rescue protocol can be modified or changed easily without the need to remove the battery or use specialized hardware or software. Preferably the shock waveform of the single shock is a biphasic waveform delivering at least 175 Joules of energy and more preferably at least 200 Joules of energy. | 12-18-2008 |
| 20100198763 | Reduction Of Classification Error Rates And Monitoring System Using An Artificial Class - Systems and methods for enhancing the accuracy of classifying a measurement by providing an artificial class. Seizure prediction systems may employ a classification system including an artificial class and a user interface for signaling uncertainty in classification when a measurement is classified in the artificial class. | 08-05-2010 |
| 20110035689 | Reduction Of Classification Error Rates And Monitoring System Using An Artificial Class - Systems and methods for enhancing the accuracy of classifying a measurement by providing an artificial class. Seizure prediction systems may employ a classification system including an artificial class and a user interface for signaling uncertainty in classification when a measurement is classified in the artificial class. | 02-10-2011 |
