Abstract: Methods and systems for autonomous cardiac mapping are disclosed. An example system for autonomous cardiac mapping of a heart chamber includes a processor being configured to acquire a representative geometric shell of the heart chamber, control a robotic device to autonomously navigate a mapping probe to a plurality of locations within the heart chamber based at least in part on the representative geometric shell, and generate a three-dimensional electroanatomical map of the heart chamber based on electrical data collected by the probe at the plurality of locations.

Abstract: A health monitoring system comprises at least one sensor configured to measure at least one parameter relating to a condition of a subject; and a health monitoring module in communication with the at least one sensor and configured to receive from the at least one sensor a measurement of the at least one parameter; based on the measurement, generate a message; and send the message to a health operator related to the subject. Moreover, in some embodiments, the health monitoring module is further configured to determine a confidence factor for the measurement. Further, in some embodiments the health monitoring module is also configured to receive from the at least one sensor a plurality of measurements of the at least one parameter; derive a trend for the plurality of measurements; and based on the trend, determine a health state for the subject.

Abstract: A system including a catheter including multiple, spatially distributed electrodes configured to measure electrical signals of a heart, a system configured to determine a position of the electrodes at multiple, different catheter positions in the heart, and a processing unit for mapping electrical activity in the heart. The processing unit is configured to receive the measured electrical signals from each position of the multiple, different catheter positions and determine whether the measured electrical signals at the position are organized. If the measured electrical signals at the position are organized, the processing unit is configured to determine at least one of velocity vectors, cycle length, and degree of organization at the position from the measured electrical signals.

Abstract: The present disclosure relates to remote health monitoring of subjects, such as the elderly, senior citizens, individuals having chronic health issues, and/or individuals requiring assistance in managing their health or physiological condition.

Abstract: A medical system including a catheter, a sheath, and a controller. The catheter having a catheter distal end that includes multiple electrodes, the sheath configured to receive the catheter and having a sheath distal end configured to cover one or more of the multiple electrodes, and the controller configured to supply a current between electrodes of the multiple electrodes and to measure voltages from at least two of the multiple electrodes to determine whether one or more of the multiple electrodes is covered by the sheath.

Abstract: Methods and systems for autonomous cardiac mapping are disclosed. An example system for autonomous cardiac mapping of a heart chamber includes a processor being configured to acquire a representative geometric shell of the heart chamber, control a robotic device to autonomously navigate a mapping probe to a plurality of locations within the heart chamber based at least in part on the representative geometric shell, and generate a three-dimensional electroanatomical map of the heart chamber based on electrical data collected by the probe at the plurality of locations.

Abstract: A mapping system including a catheter including multiple, spatially distributed electrodes to measure electrical signals of a heart, a system to determine a position of the electrodes in the heart at multiple, different catheter positions in the heart, and a processing unit. The processing unit to receive the measured electrical signals from each position of the multiple, different catheter positions, determine velocity vectors based on the measured electrical signals, and to calculate, from the velocity vectors, an activation time at vertices of a mesh provided by the processing unit as a geometry of the heart.

Abstract: A system including a catheter including multiple, spatially distributed electrodes configured to measure electrical signals of a heart, a system configured to determine a position of the electrodes at multiple, different catheter positions in the heart, and a processing unit for mapping electrical activity in the heart. The processing unit is configured to receive the measured electrical signals from each position of the multiple, different catheter positions and determine whether the measured electrical signals at the position are organized. If the measured electrical signals at the position are organized, the processing unit is configured to determine at least one of velocity vectors, cycle length, and degree of organization at the position from the measured electrical signals.

Abstract: A system is provided which processes cardiac condition data representative of heart electrical signals to identify a cardiac condition. An acquisition processor is conditioned for acquiring data representing a sequence of successive pulses of a type of electrical heart waveform of a patient. A computation processor is electrically coupled to the acquisition processor and is conditioned for calculating a pulse interval irregularity measure based on a sum of time interval differences occurring between pairs of successive pulses of the sequence of successive pulses and excluding time interval differences exceeding a predetermined maximum threshold from the sum. The computation processor is further conditioned to compare a calculated pulse interval irregularity measure with a predetermined irregularity measure threshold.

Abstract: A system is provided which processes cardiac condition data representative of heart electrical signals to identify a cardiac condition. An acquisition processor is conditioned for acquiring data representing a sequence of successive pulses of a type of electrical heart waveform of a patient. A computation processor is electrically coupled to the acquisition processor and is conditioned for calculating a pulse interval irregularity measure based on a sum of time interval differences occurring between pairs of successive pulses of the sequence of successive pulses and excluding time interval differences exceeding a predetermined maximum threshold from the sum. The computation processor is further conditioned to compare a calculated pulse interval irregularity measure with a predetermined irregularity measure threshold.