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      Bsignal--HES User InterfaceEnergy Signature Format Interface

Heart Energy Signature (HES) Visualization System - Version 3.7
Download Heart Energy Signature Flyer: eflyer3.pdf  and visit Biosignetics Papers page.
Download murmur characterization system examples:
Atrial SeptalDefect, Pulmonary Stenosis, Aortic Stenosis, Ventricular Septal Defect,
Innocent Still's Murmur, Mitral Valve Prolapse and others -eflyer2examples.pdf


Please review most recent paper published in Biomedical Engineering Online that contained
detailed description and validation and examples of use for the Heart Energy Signature
Method and Format

Heart Energy Signature Spectrogram for Cardiovascular Diagnosis
V. Kudriavtsev, PhD, V. Polyshchuk, PhD, D.L. Roy, MD,FRCP(C), FAHA
BMC Biomedical Engineering Online, 6:16, 2007 

Heart Energy Signature (HES) Studies in the Detection of Innocent Heart Sounds
and Murmurs in Children. V. Kudriavtsev, D.L. Roy, MD, V. Polyshchuk
(submitted to BMC Medicine)


DescriptionSKU #Price
site licensesku-1$15,000
research site licensesku-2$10,000
annual licensesku-3$6,000

Academic discount - 50%. License costs include software upgrades
and software support.

We accept payment with Checks, Purchase Orders and via Google Checkout
system or via PayPal account

Payable to  Biosignetics Corporation

29 Downing Ct, Exeter, NH 03833
Customer Support:
603 772-8706

New Release -Nov 1st, 2009 - click on the link to the left to view newest software images

Educational and non-clinical research release is intended for use by academic researchers, for IRB/FDA approved trials, educators, medical students and residents and to aid in auscultation training. Software can record, display and analyze heart sounds and their components.

Heart Energy Signature (HES) spectrogram (patent pending technology) allows to represent heart sound mechanical energy and its components as an image, simultaneously in time, frequency(pitch) with equally high resolution. In simple terms this
allows to:

a)       represent heart sound as a visual image
       obtain precise quantitative characteristics of heart sound power and
          pitch variation in time.

Unlike a typical spectrogram obtained using STFT-method  and unlike FFT method
Heart Energy Signature generates high quality high resolution images that are
suitable for the medical diagnosis.



New 11 Case Studies

Noise Removal Using Wavelet Technology

Example of the Heart Energy Signature (HES) for the Normal Heart --
Use of the Heart Energy Signature and
Digital Stethoscope the Patient Diagnosis

Album of Heart Energy Signatures and PCGs -
Aortic Insufficiency

Key Benefits

  • Easy to understand and unique representation of heart sound morphology
  • Ability to simultaneously resolve time, frequency and energy variations
    of heart mechanical energy
  • Self-referencing format allows almost instant expert identification of the
    problematic areas (like for Ultra-sound projects and X-Rays)
  • Qualitative and accurate quantitative representation of the heart sound energy
  • Ability to add and create simulated sounds and input noises, selection
    of filters for advanced processing
  • Zoom-in Capability allows to focus on a specific time period and frequency
    range to detailed energy distribution characterization
  • Ability to provide integral and instantaneous power and density spectrum distributions
  • New digital format to exchange, store and pass patient's heart data
  • Extraction of peak and mean instantaneous frequency
  • Extraction of Signal Energy/Power Variation
  • Extraction of Virtual Pulse
  • Ability to process 150,000 data points per 1 Gb of available RAM


Typical analysis sequence is presented below:

Stage 1:  Visual waveform analysis

1) display heart sound waveform (phonocardiogram- PCG)
2) visualize S1 and S2, systole and diastole (segment heart sound)
3) visualize presence of systolic murmurs, diastolic murmurs, or any heart sounds in
    addition to S1 and S2
4) visualize S2 heart sound and its variation, evaluate for split

Stage 2: Frequency Analysis

5) analyze spectral (frequency) properties of murmurs, estimate murmur frequency scores
6) analyze murmur timing and intensity, estimate corresponding scores

Stage 3: Heart Energy Signature

7)  visualize and evaluate (normal-abnormal) visual image of the heart energy signature

8)  review heart sound power variation (looks lot like Doppler-echo velocity vs. time plot)  
     to verify signal segmentation and to identify most important (energetic) events
9)  visualize power vs. time plot to document presence of S1 or S2 splits and their
     variation [power plot is the best tool for that]
10) visualize instantaneous (peak, mean) frequency vs. time plot to document pitch
      related abnormalities
11) estimate time averaged murmur frequency characteristics form the energy density  
     spectrum plot [this is best tool for that]

12) estimate instantaneous murmur or sound component density spectrum at the point of their maximum energy [this shows intrinsic time variation properties]
11) estimate instantaneous power variation with time at the point of murmur maximum/dominant frequency [shows only power at the pitch of interest]

Visualization System can read electronic datafiles, process them (filter and remove noise using wavelet method), down sample and produce unique Heart Energy Signature following our patent-pending technology and using a combination of wavelet and joint-time frequency domain (JTFA) transformation. Resulting heart signature is presented in an easy to understand X-ray looking pictorial format. User can focus its attention on a single heart beat, several heart beats or on individual components of the heart sound (such as S1, S2, S3, S4, murmurs, snaps, etc.).

Atlas of characteristic Heart Energy Signatures (HES) is separately provided in order to ease the adoption of the new digital format and of the learning process.

All Materials and Images are subject to the Copyright.
Copyright: 2004-2009 BioSignetics Corporation
Last modified: 02/02/09