Method and apparatus for personalized physiologic parameters

Abstract

Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.

Description

[0001]This application claims priority from provisional U.S. Patent Application No. 61 / 321,040, titled “Method and Apparatus for Personalized Physiologic Parameters” and filed Apr. 5, 2010, the entire disclosure of which is hereby incorporated by reference herein for all purposes.BACKGROUND OF THE INVENTION[0002]The present invention relates to monitoring and treatment of people and animals, and more specifically to patient monitoring and treatment of disease. Although embodiments make specific reference to monitoring impedance and electrocardiogram signals with an adherent patch, the system methods and device described herein may be applicable to many applications in which physiological monitoring is used, for example wireless physiological monitoring with implantable devices for extended periods.[0003]Patients are often treated for diseases and / or conditions associated with a compromised status of the patient, for example a compromised physiologic status such as heart disease. In ...

AI Technical Summary

Problems solved by technology

While such long term care may be at least partially effective, many patients are not sufficiently monitored and eventually succumb to cardiac decompensation, or heart failure.

Although such a device may be effective in measuring electrocardiography, such measurements alone may not be sufficient to reliably detect and / or avoid an impending cardiac decompensation.

Although transthoracic measurements can be useful, such measurements may use electrodes that are positioned across the midline of the patient, and may be somewhat uncomfortable and / or cumbersome for the patient to wear.

Also, known methods of using hydration as a measure of impedance can be subject to error in at least some instances.

In at least some instances, cardiac decompensation can be difficult to detect, for example in the early stages.

Although bioimpedance and other physiological parameters have been used to assess HF condition and track patient improvement or worsening, at least some of the current methods and apparatus may not predict an impending patient event and can result in false positives in at least some instances.

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