Ambulatory Monitoring

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Isaac Yang - One of the best experts on this subject based on the ideXlab platform.

Igone Etxeberria - One of the best experts on this subject based on the ideXlab platform.

  • A specific neural network used on a portable system for classifying activities in Ambulatory Monitoring
    2006
    Co-Authors: Nicolas Fourty, David Guiraud, Philippe Fraisse, Guillaume Perolle, Igone Etxeberria
    Abstract:

    Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people living longer at their own home, ensuring the necessary vigilance and security at the lower cost possible, some tele-assistance systems are already available commercially. This article presents a specific neural network used on a portable system for classifying activities in Ambulatory Monitoring. After more precisions about this specific neural network in the second part we will present some results from our prototype stemmed from gerontologic institute Ingema.

  • A specific neural network used on a portable system for classifying activities in Ambulatory Monitoring
    2006 IEEE International Conference on Industrial Technology, 2006
    Co-Authors: Nicolas Fourty, David Guiraud, Philippe Fraisse, Guillaume Perolle, Igone Etxeberria
    Abstract:

    Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people living longer at their own home, ensuring the necessary vigilance and security at the lower cost possible, some tele-assistance systems are already available commercially. This article presents a specific neural network used on a portable system for classifying activities in Ambulatory Monitoring. After more precisions about this specific neural network in the second part we will present some results from our prototype stemming from gerontologic institute Ingema.

Hallberg S. Bryan - One of the best experts on this subject based on the ideXlab platform.

  • EMBC - Rapid trend detection for an Ambulatory Monitoring system
    2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
    Co-Authors: Hallberg S. Bryan
    Abstract:

    An algorithm for rapid trend detection of physiological parameter is introduced for Ambulatory Monitoring applications. Kalman prediction error of monitored parameter is used to estimate the physiological status and detect rapid change. With this algorithm, rapid trend during Ambulatory Monitoring can be found to predict disease exacerbation; and it is also applied to identify outliers of measurement due to poor signal quality to avoid false alarms.

  • Signal quality classification for an Ambulatory Monitoring system
    2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
    Co-Authors: Yongji Fu, Hallberg S. Bryan, Isaac Yang
    Abstract:

    A signal quality classification algorithm is presented to evaluate signal quality in Ambulatory Monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be eliminated to avoid wrong conclusions and instructions in the Ambulatory system.

Yongji Fu - One of the best experts on this subject based on the ideXlab platform.

Jose R. Fernandez - One of the best experts on this subject based on the ideXlab platform.

  • decreasing sleep time blood pressure determined by Ambulatory Monitoring reduces cardiovascular risk
    Journal of the American College of Cardiology, 2011
    Co-Authors: Ramon C. Hermida, Diana E. Ayala, Artemio Mojón, Jose R. Fernandez
    Abstract:

    Objectives We investigated whether reduced cardiovascular risk is more related to the progressive decrease of asleep or awake blood pressure. Background Independent studies have concluded that elevated sleep-time blood pressure is a better predictor of cardiovascular risk than awake or 24-h blood pressure means. However, the impact on cardiovascular risk of changes in these Ambulatory blood pressure characteristics has not been properly investigated. Methods We prospectively studied 3,344 subjects (1,718 men and 1,626 women), 52.6 ± 14.5 years of age, during a median follow-up of 5.6 years. Those with hypertension at baseline were randomized to ingest all their prescribed hypertension medications upon awakening or ≥1 of them at bedtime. Blood pressure was measured for 48 h at baseline and again annually or more frequently (quarterly) if treatment adjustment was required. Results With data collected at baseline, when asleep blood pressure was adjusted by awake mean, only the former was a significant predictor of outcome in a Cox proportional hazards model also adjusted for sex, age, and diabetes. Analyses of changes in Ambulatory blood pressure during follow-up revealed a 17% reduction in cardiovascular risk for each 5-mm Hg decrease in asleep systolic blood pressure mean (p Conclusions The sleep-time blood pressure mean is the most significant prognostic marker of cardiovascular morbidity and mortality. Most importantly, the progressive decrease in asleep blood pressure, a novel therapeutic target that requires proper patient evaluation by Ambulatory Monitoring, was the most significant predictor of event-free survival. (Prognostic Value of Ambulatory Blood Pressure Monitoring in the Prediction of Cardiovascular Events and Effects of Chronotherapy in Relation to Risk [the MAPEC Study]; NCT00295542 )

  • The 'ABPM effect' gradually decreases but does not disappear in successive sessions of Ambulatory Monitoring.
    Journal of Hypertension, 2003
    Co-Authors: Carlos Calvo, Ramon C. Hermida, Diana E. Ayala, Jose E. Lopez, Jose R. Fernandez, Maria J. Dominguez, Artemio Mojón, Manuel Covelo
    Abstract:

    ObjectivesPrevious results have indicated that Ambulatory Monitoring provides a pressor effect on patients using the device for the first time, but not on successive sessions of Monitoring. Our objective was to validate and quantify the extent and duration of this pressor effect in hypertensive pati

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