Universidade De Vigo

Artemio Mojon Ojea

Jose Ramon Fernandez Bernardez

Pedro Mateo Riobo Aboy

Cristina Crespo Veiga

Ramon Hermida Dominguez

Disclosed embodiments include a method for automatic identification of activity and rest periods based on an actigraphy signal. According to an embodiment, the method comprises (a) applying one or more filters to the actigraphy signal to generate a filtered actigraphy signal, and (b) comparing the filtered actigraphy signal against an adaptive threshold to generate an output signal corresponding to the activity and rest periods. The method can be implemented as part of a medical apparatus or medical system for automatic activity/rest identification from actigraphy signals.

Method and system for activity/rest identification

Disclosed embodiments include a web-enabled system especially adapted for clinical research and clinical management of cardiovascular risk using ambulatory blood pressure monitoring (ABPM) data, actigraphy data, and clinical data. According to a disclosed embodiment the web-enabled system comprises (a) a web-enabled graphical user interface to enable a user to securely authenticate, securely upload clinical data, and navigate through a plurality of software modules; (b) a database to store user profiles, protocols, clinical data, ambulatory blood pressure monitoring (ABPM) recordings, actigraphy recordings, research data, and study results; and (c) a plurality of statistical methods and analysis techniques especially designed to automatically analyze the clinical cardiovascular risk data, and create customized reports of the results designed to assess cardiovascular risk based on ABPM and actigraphy.

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Vigo, Spain

Artemio Mojon Ojea