Method and apparatus for detection of heartbeat characteristics
AssigneeVivaQuant LLC
InventorsMarina Brockway, Brian Brockway
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Abstract
Aspects of the present disclosure are directed to detecting Atrial Fibrillation (AF). As may be implemented in accordance with one or more embodiments, a time series of inter-beat intervals is computed from a recording of activity of a beating heart. The time series is decomposed into subcomponents, and an envelope of at least one of the subcomponents is computed. The presence of atrial fibrillation (AF) is detected based upon characteristics of the envelope that are indicative of AF.
Claims31
A method comprising:
- computing a time series of inter-beat intervals from a recording of activity of a beating heart;
- decomposing the time series into subcomponents;
- computing an envelope of at least one of the subcomponents;
- and
- detecting the presence of atrial fibrillation (AF) based upon characteristics of the envelope that are indicative of AF.
A method comprising:
- computing a time series of inter-beat intervals from a recording of activity of a beating heart, excluding intervals characterized by ectopic beats;
- decomposing the time series into subcomponents;
- computing an envelope of at least one of the subcomponents;
- and
- detecting the presence of atrial fibrillation (AF) based upon characteristics of the envelope that are indicative of AF.
An apparatus comprising:
- an input port configured and arranged for receiving a signal indicative of activity of a beating heart;
- and
- a processing circuit configured and arranged with the input port to:
- compute a time series of inter-beat intervals from a recording of activity of the beating heart;
- decompose the time series into subcomponents;
- compute an envelope of at least one of the subcomponents;
- and
- detect the presence of atrial fibrillation (AF) in the received signal based upon characteristics of the envelope that are indicative of AF.
A method for detecting ectopic beats in an ECG recording, the method comprising:
- decomposing the recording into subcomponents;
- detecting the presence of ventricular depolarizations in the subcomponents;
- computing the energy of high frequency and low-frequency ones of the subcomponents in respective time windows around each ventricular depolarization;
- and
- detecting the presence of an ectopic beat in one of the time windows based upon a ratio of energy of the low frequency components to energy of the high frequency components being indicative of the ectopic beat.
Dependencies are inferred from the claim text.