Abstract: A plurality of chronic sensors are used to facilitate diagnosis and medical decision making for an individual patient. An expert system evaluates the sensor data, combines the sensor data with stored probability data and provides an output signal for notification or medical intervention.

Abstract: A pacing system analyzer (PSA) having three or more individually controllable sensing and pacing channels provides for testing and measurement during an operation for implanting a pacemaker having three or more sensing and pacing channels. The PSA allows control and adjustment of pacing parameters including cross-channel pacing parameters relating activities between any two of the three or more channels, such as atrioventricular and interventricular pacing delays. The PSA is also capable of, among other things, displaying real-time cardiac signals, measuring amplitude and slew rate of cardiac depolarizations, and measuring lead impedance for each of the sensing and pacing channels, as well as measuring time intervals between cardiac depolarizations in two different sensing and pacing channels. In one embodiment, the PSA includes individually controllable atrial, right ventricular (RV), and left ventricular (LV) sensing and pacing channels.

Abstract: A pacing system analyzer (PSA) having three or more individually controllable sensing and pacing channels provides for testing and measurement during an operation for implanting a pacemaker having three or more sensing and pacing channels. The PSA allows control and adjustment of pacing parameters including cross-channel pacing parameters relating activities between any two of the three or more channels, such as atrioventricular and interventricular pacing delays. The PSA is also capable of, among other things, displaying real-time cardiac signals, measuring amplitude and slew rate of cardiac depolarizations, and measuring lead impedance for each of the sensing and pacing channels, as well as measuring time intervals between cardiac depolarizations in two different sensing and pacing channels. In one embodiment, the PSA includes individually controllable atrial, right ventricular (RV), and left ventricular (LV) sensing and pacing channels.

Abstract: A plurality of chronic sensors are used to facilitate diagnosis and medical decision making for an individual patient. An expert system evaluates the sensor data, combines the sensor data with stored probability data and provides an output signal for notification or medical intervention.

Abstract: A physiological signal monitoring and analysis system including an implantable medical device and a signal processor. The implantable medical device is configured to monitor and record sample segments of at least one physiological signal of a patient at time separated recording intervals over a time period. The signal processor configured to measure values of at least one selected characteristic of the at least one physiological signal from the recorded sample segments, to determine trend information representing a trend in the at least one selected characteristic based on the measured values, and to assess a risk of a physiological event to the patient based on the trend information.

Abstract: A pacing system analyzer (PSA) having three or more individually controllable sensing and pacing channels provides for testing and measurement during an operation for implanting a pacemaker having three or more sensing and pacing channels. The PSA allows control and adjustment of pacing parameters including cross-channel pacing parameters relating activities between any two of the three or more channels, such as atrioventricular and interventricular pacing delays. The PSA is also capable of, among other things, displaying real-time cardiac signals, measuring amplitude and slew rate of cardiac depolarizations, and measuring lead impedance for each of the sensing and pacing channels, as well as measuring time intervals between cardiac depolarizations in two different sensing and pacing channels. In one embodiment, the PSA includes individually controllable atrial, right ventricular (RV), and left ventricular (LV) sensing and pacing channels.

Abstract: The present invention provides a system and method for representing quasi-periodic (“qp”) waveforms comprising, representing a plurality of limited decompositions of the qp waveform, wherein each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the qp waveform. These decompositions are stored into a data structure having a plurality of attributes. Optionally, these attributes are used to reconstruct the qp waveform, or patterns or features of the qp wave can be determined by using various pattern-recognition techniques. Some embodiments provide a system that uses software, embedded hardware or firmware to carry out the above-described method. Some embodiments use a computer-readable medium to store the data structure and/or instructions to execute the method.

Abstract: The present invention provides a system and method for representing quasi-periodic (“qp”) waveforms comprising, representing a plurality of limited decompositions of the qp waveform, wherein each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the qp waveform. These decompositions are stored into a data structure having a plurality of attributes. Optionally, these attributes are used to reconstruct the qp waveform, or patterns or features of the qp wave can be determined by using various pattern-recognition techniques. Some embodiments provide a system that uses software, embedded hardware or firmware to carry out the above-described method. Some embodiments use a computer-readable medium to store the data structure and/or instructions to execute the method.

Abstract: A plurality of chronic sensors are used to facilitate diagnosis and medical decision making for an individual patient. An expert system evaluates the sensor data, combines the sensor data with stored probability data and provides an output signal for notification or medical intervention.