Biotronik Crm Patent Ag

Manuel Ebert

Wolfgang Meyer

Thomas Kraemer

Sergey Berdyshev

Daniel Bast

Jochen Proff

A method, a system and an arrangement for predicting at least one system event and a corresponding computer program and a corresponding computer-readable storage medium are configured so that it is possible to predict a system event based on trends in observables over a certain period of time prior to the event occurring. One example of a system event is the failure of a system because the abnormal behavior of a component is reflected in irregularities in one or a plurality of observables. Another example of a system event is the early recognition or pre-acute prediction of a specific critical condition of a patient.

Method and arrangement for predicting at least one system event, corresponding computer program, and corresponding computer-readable storage medium

A method, a system and an arrangement to predict at least one system event and a corresponding computer program and a corresponding machine-readable storage medium are configured so that the event is predictable because of trends in observables over a certain period before the occurrence of the events. The method, system and arrangement can be used in particular for patient-specific monitoring of patho-physiological changes but also in geophysical or abstract units such as population or economic systems in which the deviation from a defined normal condition is predicted.

Method and arrangement to predict at least one system event and a corresponding computer program and a corresponding machine-readable storage medium

Methods and apparatuses for detecting sleep apnea by analyzing characteristic physiological oscillations of the heart rate variability (HRV). Starting from recorded ECG data of the patient, for example, as a long-term sequence of the changing RR intervals, the heart rate variability is examined using autocorrelation calculations for the occurrence of rhythmic oscillations of various frequencies. If oscillations typical for apnea occur having very long period durations in the range of 20 to 80 seconds, these are detected as a maximum of the autocorrelation function. If a pathological sleep apnea accordingly exists, individual apnea events may be identified by prompt analysis of short recorded RR sequences, e.g., in the minute interval.

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Baiersdorf, Germany

Manuel Ebert