Saba Emrani

Works (5)

Updated: July 5th, 2023 15:43

2015 journal article

A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology

IEEE SIGNAL PROCESSING LETTERS, 22(11).

By: S. Emrani n, T. Saponas*, D. Morris * & H. Krim n

author keywords: Algebraic topology algorithms; pulse pressure waves; topological signal analysis; wearable sensors
TL;DR: Four characteristic points of pulse pressure waves-the systolic peak, the anacrotic notch, the dicrotic notch, and the diastolic foot-are used to estimate various aspects of cardiovascular function, such as heart rate and augmentation index are proposed. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 conference paper

Spectral estimation in highly transient data

2015 23rd european signal processing conference (eusipco), 1721–1725.

By: S. Emrani n & H. Krim n

TL;DR: A new framework for estimating different frequencies in piece-wise periodic signals with time varying amplitude and phase is proposed through a 3-dimensional delay embedding of the introduced model, which constructs a union of intersecting planes where each plane corresponds to one frequency. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Persistent Homology of Delay Embeddings and its Application to Wheeze Detection

IEEE SIGNAL PROCESSING LETTERS, 21(4), 459–463.

By: S. Emrani n, T. Gentimis n & H. Krim n

author keywords: Algebraic topology algorithms; audio analysis; biomedical signal processing; topological signal analysis
TL;DR: To discover the proper delay, this work proposes an autocorrelation like (ACL) function of the signals, and applies the introduced topological approach to analyze breathing sound signals for wheeze detection. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2014 conference paper

Real time detection of harmonic structure: A case for topological signal analysis

International conference on acoustics speech and signal processing.

By: S. Emrani n, H. Chintakunta n & H. Krim n

TL;DR: Using delay embeddings, the timedomain signal is transformed into a point cloud, whose topology reflects the periodic behavior of the signal, and the Euler characteristic provides for a fast computation of topology of the resulting manifold. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2013 article

Wheeze detection and location using spectro-temporal analysis of lung sounds

29TH SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE (SBEC 2013), pp. 37–38.

By: S. Emrani n & H. Krim n

TL;DR: An automatic wheeze detector for a wearable health monitoring system, which is able to locate the wheezes inside the respiratory cycle with high accuracy, and low computational complexity is designed. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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