Abstract: A computer-implemented method for predicting an evolution of at least one heart-related condition of a patient, the method including, for each heart-related condition: a) based on a set of inputs, at least part of the set of inputs being representative of a temporal evolution of a corresponding health variable among a predetermined set of health variables of the patient, computing a set of transformed variables, the set of transformed variables being a representation of the set of inputs in a predetermined latent data representation space; and b) determining, based on the computed set of transformed variables, at least one index value, each representative of a respective risk of an unfavorable outcome of the heart-related condition.

Abstract: A computer-implemented method for managing information relating to at least one patient with an active implantable medical device (AIMD), including per patient: receiving at least one manufacturer information representative of an output of the respective AIMD over time; analyzing the received manufacturer information based on at least one first type rule, each first type rule being associated to a predefined first sensor event and to at least one patient's clinical information relating to a patient medical status, the analyzing including applying each first type rule to the received manufacturer information in order to determine, depending on each corresponding patient's clinical information of the patient, whether the corresponding predefined first sensor event has occurred and is relevant for diagnosis; labeling the manufacturer information based on a result of the analyzing; outputting data representative of the labeled manufacturer information for diagnosis taking account of the predefined first sensor ev

Abstract: A system for monitoring a health data acquisition device, and including a device database and a processing unit. The device database storing, for each health data acquisition device: a connection status of the health data acquisition device, having a first value indicative that health data from the health data acquisition device have been retrieved, or a second value indicative that health data from the health data acquisition device have not been retrieved; and patient contact information. The processing unit being configured to: monitor the connection status of each health data acquisition device; and send a notification to at least one patient contact associated with the respective patient, using the patient contact information, if a change of the connection status from the first value to the second value is detected.

Abstract: A method and a system for analyzing electrocardiographic segments previously derived from a cardiac device so as to help to discriminate true positives episodes, including abnormal heart rhythms, from false positives episodes, including normal heart rhythms. Each episode received includes at least one segment of electrocardiographic signal, and each segment is segmented into sub-segments. Score vectors are obtained for each sub-segment to classify the episode so as to discriminate true positive episodes from false positive episodes, and the classification results, which include at least the true positive episodes, are output.

Abstract: A method and a system for analyzing electrocardiographic segments previously derived from a cardiac device so as to help to discriminate true positives episodes, including abnormal heart rhythms, from false positives episodes, including normal heart rhythms. Each episode received includes at least one segment of electrocardiographic signal, and each segment is segmented into sub-segments. Score vectors are obtained for each sub-segment to classify the episode so as to discriminate true positive episodes from false positive episodes, and the classification results, which include at least the true positive episodes, are output.