ARY L GOLDBERGER, M.D.
Osteopathic Medicine in Boston, MA

2005025, Nov 17, 2005

May 17, 2004

10/846945

Joseph Mietus - Cambridge MA, US
Robert Thomas - Newton MA, US
Ary Goldberger - Newton Centre MA, US

Beth Israel Deaconess Medical Center - Boston MA

A61B005/04

600512000

An assessment of sleep quality and sleep disordered breathing is determined from the cardiopulmonary coupling between two physiological data series. In an embodiment, an R-R interval series is derived from an electrocardiogram (ECG) signal. The normal beats from the R-R interval series are extracted to produce a normal-to-normal (NN) interval series. The amplitude variations in the QRS complex are used to extract to a surrogate respiration signal (i.e., ECG-derived respiration (EDR)) that is associated with the NN interval series. The two series are corrected to remove outliers, and resampled. The cross-spectral power and coherence of the two resampled signals are calculated over a plurality of coherence windows. For each coherence window, the product of the coherence and cross-spectral power is used to calculate coherent cross power. Using the appropriate thresholds for the coherent cross power, the proportion of sleep spent in CAP, non-CAP, and wake and/or REM are determined.

8403848, Mar 26, 2013

Jan 23, 2008

12/018768

Joseph E. Mietus - Cambridge MA, US
Robert Joseph Thomas - Newton MA, US
Ary L. Goldberger - Newton Centre MA, US

Beth Israel Deaconess Medical Center, Inc. - Boston MA

A61B 5/00, A61B 5/08, A61B 5/04

600301, 600484, 600513, 600536

An assessment of sleep quality and sleep disordered breathing is determined from the cardiopulmonary coupling between two physiological data series. In an embodiment, an R-R interval series is derived from an electrocardiogram (ECG) signal. The normal beats from the R-R interval series are extracted to produce a normal-to-normal (NN) interval series. The amplitude variations in the QRS complex are used to extract to a surrogate respiration signal (i. e. , ECG-derived respiration (EDR)) that is associated with the NN interval series. The two series are corrected to remove outliers, and resampled. The cross-spectral power and coherence of the two resampled signals are calculated over a plurality of coherence windows. For each coherence window, the product of the coherence and cross-spectral power is used to calculate coherent cross power. Using the appropriate thresholds for the coherent cross power, the proportion of sleep spent in CAP, non-CAP, and wake and/or REM are determined.

8401626, Mar 19, 2013

Sep 30, 2009

12/570163

Joseph E. Mietus - Cambridge MA, US
Robert Joseph Thomas - Newton MA, US
Ary L. Goldberger - Newton Centre MA, US

Beth Israel Deaconess Medical Center, Inc. - Boston MA

A61B 5/08, A61B 5/04

600513, 600484

An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. An R-R interval series is derived from an electrocardiogram (ECG) signal. The normal beats from the R-R interval series are extracted to produce a normal-to-normal interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i. e. , ECG-derived respiration) associated with the NN interval series. The two series are corrected to remove outliers, and resampled. The cross-spectral power and coherence of the two resampled signals are calculated over a plurality of coherence windows. For each coherence window, the product of the coherence and cross-spectral power is used to calculate coherent cross-power. Using the appropriate thresholds for the coherent cross-power, the proportion of sleep spent in CAP, non-CAP, and wake and/or REM are determined. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

7882167, Feb 1, 2011

Jul 10, 2006

11/483172

Ary L. Goldberger - Newton Centre MA, US
Madalena D. Costa - Boston MA, US

Beth Israel Deaconess Medical Center - Boston MA

G06F 15/16

709200

In a subject undergoing therapeutic intervention, efficacy of the therapeutic intervention is assessed based on a series of physiologic data associated with the subject. The series of physiologic data is analyzed to produce a measure of complexity. The complexity measure is then compared to a control. The efficacy of the therapeutic intervention is assessed based on the comparison of the complexity measure to the control. The control may be, for example, a complexity measure taken prior to initiation of the therapeutic intervention, a complexity measure taken from a different subject, or a predetermined threshold value. The measure of complexity is generated using, for example, a multiscale entropy measurement (MSE), a time asymmetry measurement, and/or an information-based similarity measurement. An increase in complexity indicates a positive effect of the therapeutic intervention, while a decrease in complexity indicates a negative effect of the therapeutic intervention. Stability of a non-biologic network, such as a computer network, communications network or transportation network can also be assessed.

7734334, Jun 8, 2010

Jul 12, 2005

11/178990

Joseph E. Mietus - Cambridge MA, US
Robert J. Thomas - Newton MA, US
Ary L. Goldberger - Newton Centre MA, US

Beth Israel Deaconess Medical Center, Inc. - Boston MA

A61B 5/04

600513, 600484, 600534, 600536

An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. An R-R interval series is derived from an electrocardiogram (ECG) signal. The normal beats from the R-R interval series are extracted to produce a normal-to-normal interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i. e. , ECG-derived respiration) associated with the NN interval series. The two series are corrected to remove outliers, and resampled. The cross-spectral power and coherence of the two resampled signals are calculated over a plurality of coherence windows. For each coherence window, the product of the coherence and cross-spectral power is used to calculate coherent cross-power. Using the appropriate thresholds for the coherent cross-power, the proportion of sleep spent in CAP, non-CAP, and wake and/or REM are determined. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

2009031, Dec 24, 2009

Jun 12, 2009

12/457480

Madalena Damasio Costa - Boston MA, US
Ionita Ghiran - Boston MA, US
Ary L. Goldberger - Boston MA, US

G06K 9/00

382133

Provided herein are methods and systems for assessing cellular flickering. The methods include using a phase contrast microscope to obtain a plurality of images of a cell, digitizing and/or pixilating the plurality of images such that the plurality of images are segmented into an array of pixels, each pixel representing a portion of the cell, and measuring the fluctuations in the pixel intensities. The methods further include calculating a complexity measure for the individual pixels based on the measured fluctuations of the portions of the cell represented by the individual pixels. Such complexity measures can then be mapped and/or plotted in order to assess cellular flickering, and thereby assess biological function and other characteristics of the cell.

8321000, Nov 27, 2012

Jul 9, 2007

12/305765

Leon Glass - Montreal, CA
Claudia Lerma - Mexico, MX
Ary Goldberger - Newton Center MA, US

The Royal Institution for the Advancement of Learning/McGill University - Montreal
Beth Israel Deaconess Medical Center - Boston MA

A61B 5/02, A61B 5/04

600509, 600508, 600513, 600515, 600518

The invention relates to a method for determining a pathology in a subject, said method comprising: a) correlating N-N intervals with rate dependent fluctuations of electrocardiographic parameters derived from an electrocardiogram (ECG) of said subject or other recordings reflecting cardiac activity of said subject to derive electrocardiographic parameters correlation values, wherein said pathology is determined based on said correlation values.