Abstract: A cardiovascular implantable electronic device (CIED) and related method is disclosed. The CIED comprises a first lead for cardiac stimulation; one or more sensors for provision of sensor data; and a processing device comprising a processor, a communication interface and a lead interface. The processor is configured to: obtain sensor data from the one or more sensors; determine a first set of first parameters based on the sensor data; determine a second set of second parameters based on the sensor data; determine a first cardiac event parameter indicative of a probability of a future cardiac event, wherein the first cardiac event parameter is based on one or more parameters of the first set and the second set; determine if one or more transmission criteria are satisfied; and, if so, transmit a first warning signal to an accessory device, the first warning signal being indicative of the first cardiac event parameter.

Abstract: A cardiovascular implantable electronic device (CIED) and related method is disclosed. The CIED comprises a first lead for cardiac stimulation; one or more sensors for provision of sensor data; and a processing device comprising a processor, a communication interface and a lead interface. The the processor is configured to: obtain sensor data from the one or more sensors; determine a first set of first parameters based on the sensor data; determine a second set of second parameters based on the sensor data; determine a first cardiac event parameter indicative of a probability of a future cardiac event, wherein the first cardiac event parameter is based on one or more parameters of the first set and the second set; determine if one or more transmission criteria are satisfied; and, if so, transmit a first warning signal to an accessory device, the first warning signal being indicative of the first cardiac event parameter.

Abstract: The present invention provides a method of computer analysis of a data set representing an image to extract a texture based measure therefrom, said image including a multiplicative bias in intensity within the image of unknown magnitude, the method comprising applying to said data set a bank of texture extracting filters, such that said filters are chosen from filters that are invariant to the presence of a multiplicative bias field. By providing such a method, rather than attempting to correct the bias field before extraction of a texture based-biomarker, a texture-based biomarker that is bias field invariant is extracted. This makes correction of the bias field unnecessary.

Abstract: The present invention provides a method of computer analysis of a data set representing an image to extract a texture based measure therefrom, said image including a multiplicative bias in intensity within the image of unknown magnitude, the method comprising applying to said data set a bank of texture extracting filters, such that said filters are chosen from filters that are invariant to the presence of a multiplicative bias field. By providing such a method, rather than attempting to correct the bias field before extraction of a texture based-biomarker, a texture-based biomarker that is bias field invariant is extracted. This makes correction of the bias field unnecessary.