Abstract: A system and method of treating a sleep disorder, including: detecting signals associated with at least one symptom or sign of the sleep disorder at one or more sensors; processing the signals to create a symbolic representation of the sleep disorder, wherein the symbolic representation indicates a relationship of the signals to the sleep disorder empirically and not based on physiologic mapping of the signals to the sleep disorder; and stimulating a region of a human body to alter the symbolic representation between detected signals and the sleep disorder, wherein the symbolic representation as altered indicates treatment of the sleep disorder.

Abstract: The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element over a period of time. The selecting and determining are repeated over multiple periods of time. A source parameter of rotation activations or focal activations is determined, wherein the source parameter indicates consistency of successive rotational activations or focal activations in relation to a portion of the region of the heart. The determining of a source parameter is repeated for multiple regions of the heart. Thereafter, representation of the source parameter is displayed for each of the multiple regions of the heart to identify a shape representing the source of the heart rhythm disorder.

Abstract: The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.

Abstract: The present invention relates generally and specifically to combining biological sensors with external machines using machine learning to form computerized representations that can control effectors to deliver therapy or enhance performance.

Abstract: A system and method of treating a sleep disorder, including: detecting signals associated with at least one symptom or sign of the sleep disorder at one or more sensors; processing the signals to create a symbolic representation of the sleep disorder, wherein the symbolic representation indicates a relationship of the signals to the sleep disorder empirically and not based on physiologic mapping of the signals to the sleep disorder; and stimulating a region of a human body to alter the symbolic representation between detected signals and the sleep disorder, wherein the symbolic representation as altered indicates treatment of the sleep disorder.

Abstract: The present invention relates generally and specifically to combining biological sensors with external machines using machine learning to form computerized representations that can control effectors to deliver therapy or enhance performance.

Abstract: A system for processing cardiac activation information associated with a complex rhythm disorder identifies a location of the heart rhythm disorder by determining activations within cardiac signals obtained at neighboring locations of the heart and arranging the activations to identify an activation trail. The activation trail may define a rotational pattern or radially emanating pattern corresponding to an approximate core of the heart rhythm disorder.

Abstract: Disclosed is a method for interacting with the nervous system. The method includes detecting signals associated with a biological function at one or more sensors. It also includes processing the signals to create a representation thereof, delivering effector responses based on the representations, and controlling a physical process.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element over a period of time. The selecting and determining are repeated over multiple periods of time. A source parameter of rotation activations or focal activations is determined, wherein the source parameter indicates consistency of successive rotational activations or focal activations in relation to a portion of the region of the heart. The determining of a source parameter is repeated for multiple regions of the heart. Thereafter, representation of the source parameter is displayed for each of the multiple regions of the heart to identify a shape representing the source of the heart rhythm disorder.

Abstract: A system to generate a representation of a rhythm disorder that includes identifying remote or polar sources associated with a cardiac rhythm disorder is disclosed. The system includes generating a representation based on the cardiac information signals received from the sensors by transformation of spline-sensor locations of the catheter to x-y coordinate pairs of locations. A first offset is determined resulting from a perturbation to corresponding x-y coordinate pairs of locations associated with the representation, the first offset displacing coordinate pairs of sensor locations of the representation at least one unit of displacement in a first direction. A remote source associated with a cardiac rhythm disorder is identified when activations associated with the cardiac information signals rotate in sequence at least once, or emanate centrifugally for at least a first time period, the source being identified based on the representation as displaced.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element over a period of time. The selecting and determining are repeated over multiple periods of time. A source parameter of rotation activations or focal activations is determined, wherein the source parameter indicates consistency of successive rotational activations or focal activations in relation to a portion of the region of the heart. The determining of a source parameter is repeated for multiple regions of the heart. Thereafter, representation of the source parameter is displayed for each of the multiple regions of the heart to identify a shape representing the source of the heart rhythm disorder.

Abstract: An example system and method associated with identifying and treating a source of a heart rhythm disorder are disclosed. In accordance with therewith, a spatial element associated with a region of the heart is selected. Progressive rotational activations or progressive focal activations are determined in relation to the selected spatial element. A plurality of indexes of progressive rotational activations or progressive focal activations over time is formed. One or more indexes are selected from the plurality of indexes that indicate consistency of the successive rotational activations or the progressive focal activations in relation to a portion of the region of the heart.

Abstract: A system for sensing multiple local electric voltages from endocardial surface of a heart, includes: an elongate tubular member having a lumen, a proximal end and a distal end; a plurality of flexible splines; an anchor for securably affixing the proximal portions of the splines, where the anchor is securably affixed within the lumen of the elongate tubular member at the distal end of the elongate tubular member; and a metallic tip for securably affixing the distal portions of the splines.

Abstract: A system and method to select segments of cardiac signals. Each of a plurality of segments in a first signal is correlated at a plurality of offsets to determine a highest correlation coefficient for each of the plurality of segments in the first signal. Each of a plurality of segments in a second signal is correlated at the plurality of offsets to determine a highest correlation coefficient for each of the plurality of segments in the second signal. A plurality of composite correlation coefficients is generated using highest correlation coefficients for segments of the first signal and segments of the second signal. The segments of the first and second signals are approximately contemporaneous. A set of segments including a segment from the first signal and a segment from the second signal is selected. The set is associated with a highest composite correlation coefficient from the plurality of composite correlation coefficients.

Abstract: In a system and method for identifying a driver of a source associated with a heart rhythm disorder, data are accessed from a plurality of sensors representing biological activity in the heart. A first region and a second region of the heart, which comprise the source of the heart rhythm disorder, are identified. If the first region of the heart has repeating centrifugal activation and controls the second region of the heart for at least a predetermined number of beats, the first region is identified as controlling the source of the heart rhythm disorder.

Abstract: A system for sensing multiple local electric voltages from endocardial surface of a heart, includes: an elongate tubular member having a lumen, a proximal end and a distal end; and a basket assembly including a plurality of flexible splines; an anchor for securably affixing proximal portions of the splines, where the anchor is securably affixed within the lumen of the elongate tubular member at the distal end of the elongate tubular member; and a tip for securably affixing the distal portions of the splines; where the tip is recessed within the basket assembly upon radial expansion of the basket assembly.

Abstract: Disclosed is a method for interacting with the nervous system. The method includes detecting signals associated with a biological function at one or more sensors. It also includes processing the signals to create a representation thereof, delivering effector responses based on the representations, and controlling a physical process.

Abstract: The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.

Abstract: The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.