Worcester Polytechnic Institute

The State University of New York

Other

Wavefront Research, Inc.

Ki H Chon

Jinseok Lee

Jowoon Chong

Nandakumar Selvaraj

Kilwan Ju

Duy Dao

Ernst A Raeder

Jo Woon Chong

Hamed Salehizadeh

A pulse oximeter embedded with a motion and noise artifact (MNA) detection algorithm based on extraction of time-varying spectral features that are unique to the clean and corrupted components.

Motion and noise artifact detection and reconstruction algorithms for photoplethysmogram and equivalent signals

A real-time arrhythmia discrimination method is used in smartphones, which can discriminate between NSR, AF, PACs and PVCs using pulsatile time series collected from a smartphone's camera. To increase the sensitivity of AF detection and add the new capabilities of PVC and PAC identification, the arrhythmia discrimination method of these teachings combines Root Mean Square of Successive RR Differences (RMSSD), Shannon Entropy (ShE) and turning point ratio (TPR), with the Poincare plot, and utilizes the features of pulse rise/fall time and amplitude for arrhythmia discrimination.

Detection and monitoring of atrial fibrillation

Accurate AR method for extracting respiratory rates directly from a pulse oximeter and accurate methods of extracting respiratory rates directly from a pulse oximeter under low signal-to-noise ratio (SNR) conditions.

System for extracting respiratory rates from a pulse oximeter

Systems and methods that enable physiological monitoring with a mobile communication device and that allow detection of motion artifacts so that the results reported are of acceptable quality are disclosed.

Physiological parameter monitoring with a mobile communication device

An apparatus and method for non-invasive monitoring and detection of sudden changes in cardiovascular hemodynamics, in which a PPG signal is obtained from a patient, a time-frequency spectrum (TFS) is computed from the PPG signal, instantaneous modulations at a plurality of time points defining a curve of a prominent frequency of oscillation are extracted from the TFS, a peak power spectral density sequence is computed using the instantaneous modulations, and instantaneous peak values for following prominent frequency oscillations are monitored.

Apparatus and method for respiratory rate detection and early detection of blood loss volume

Enhanced real-time realizable AF algorithm for accurate detection of, and discrimination between, NSR, AF, PVC, and PAC. The method of these teachings includes an AF detection method having a modified Poincare approach in order to differentiate various patterns of PAC and PVC from NSR and AF. The method of these teachings can also apply to the Kullback-Leibler divergence or the Turning Point Ratio (TPR) to differentiate between various patterns of PAC and PVC from NSR and AF.

The present disclosure provides a method and an apparatus for identifying development of diabetic cardiovascular autonomic neuropathy (DCAN) in a biological subject. In one aspect, the method includes collecting data associated with heart rates of a biological subject, and processing the collected data to extract primary and secondary components of the collected data by performing a principal dynamic mode (PDM) analysis. A significant reduction of the primary or secondary component at a predetermined time period can be indicative of the DCAN development.

System and method for quantitatively assessing diabetic cardiac autonomic neuropathy in type I diabetic biological subject

A photoplethysmography apparatus and method is provided for high resolution estimating of Time-Frequency Spectra (TFS) and associated amplitudes using Variable Frequency Complex Demodulation (VFCDM), in a two-step procedure using a Time-Varying Optimal Parameter Search (TVOPS) technique to obtain TFS, followed by VFCDM to obtain even greater TFS resolution and instantaneous amplitudes associated with only specific frequencies of interest, via the combined TVOPS and VFCDM.

Photoplethysmography apparatus and method employing high resolution estimation of Time-Frequency Spectra

Methods and systems for automatic detection of Atrial Fibrillation (AF) are disclosed. The methods and systems use time-varying coherence functions (TVCF) to detect AF. The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs).

Methods and systems for atrial fibrillation detection

Technologies are provided herein for real-time detection of motion and noise (MN) artifacts in electrocardiogram signals recorded by electrocardiography devices. Specifically, the present disclosure provides techniques for increasing the accuracy of identifying paroxysmal atrial fibrillation (AF) rhythms, which are often measured via such devices. According to aspects of the present disclosure, a method for detecting MN artifacts in an electrocardiogram (ECG) recording includes receiving an ECG segment and decomposing the received ECG segment into a sum of intrinsic mode functions. The intrinsic mode functions associated with MN artifacts present within the ECG segment are then isolated. The method further includes determining randomness and variability characteristic values associated with the isolated intrinsic mode functions and comparing the randomness and variability characteristic values to threshold randomness and variability characteristic values. If the randomness and variability characteristic values exceed the threshold characteristic values, the ECG signal is determined to include MN artifacts.

Motion and noise artifact detection for ECG data

Disclosed is an apparatus and method for ambulatory, real-time detection of Atrial Fibrillation (AF) providing an overall accuracy that refers to detection of AF, irrespective of the duration of AF and beat-to-beat classification.

Growing community of inventors

Worcester, MA, United States of America

Ki H Chon