Abstract: An implantable medical device and associated method monitor a physiological signal for sensing physiological events and detecting a physiological condition in response to the sensed physiological events. The device senses a first event from the physiological signal, senses a noise signal in the physiological signal and senses a next event from the physiological signal wherein the first event and the next event define a signal interval. The signal interval is declared as a noisy interval in response to the sensed noise signal.

Abstract: An implantable medical device and associated method monitor a physiological signal for sensing physiological events and detecting a physiological condition in response to the sensed physiological events. The device senses a first event from the physiological signal, senses a noise signal in the physiological signal and senses a next event from the physiological signal wherein the first event and the next event define a signal interval. The signal interval is declared as a noisy interval in response to the sensed noise signal.

Abstract: In general, the invention is directed to techniques for electrically detecting physiological events. The physiological events may include cardiac events such as R waves or p waves. In addition, the physiological events may include respiratory events. In general, the techniques involve converting an analog physiological signal to a digital delta value, correlating the digital delta value with a correlation template, and detecting a physiological event based on an output of the correlation. A digital correlation-based technique, as described herein, is implemented to reliably detecting physiological events, particularly for very small signals captured in the presence of significant background noise.

Abstract: A system and method for acquiring and processing an EGM signal during a pacing event, wherein a unique converter code is generated upon digitizing of the EGM signal and encrypted in the EGM signal to demarcate a transient event. The system further provides dynamic filtering of the EGM signal and subsequent detection of an intrinsic event signal during the pacing event, from which rhythm events may be diagnosed and classified.

Abstract: In general, the invention is directed to techniques for electrically detecting physiological events. The physiological events may include cardiac events such as R waves or p waves. In addition, the physiological events may include respiratory events. In general, the techniques involve converting an analog physiological signal to a digital delta value, correlating the digital delta value with a correlation template, and detecting a physiological event based on an output of the correlation. A digital correlation-based technique, as described herein, is implemented to reliably detecting physiological events, particularly for very small signals captured in the presence of significant background noise.

Abstract: A system and method for acquiring and processing an EGM signal during a pacing event, wherein a unique converter code is generated upon digitizing of the EGM signal and encrypted in the EGM signal to demarcate a transient event. The system further provides dynamic filtering of the EGM signal and subsequent detection of an intrinsic event signal during the pacing event, from which rhythm events may be diagnosed and classified.