 |  | | Bsignal--HES User Interface | Energy Signature Format Interface |
Heart Energy Signature (HES) Visualization System - Version 3.6
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) Pricing | Description | SKU # | Price |
|---|
| site license | sku-1 | $15,000 | | research site license | sku-2 | $10,000 | | annual license | sku-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
- Sales:
Customer Support:  - Telephones:
- 603-303-0708
- FAX
- 603 772-8706
|
New Release -March 2007 - 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
b) 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 the
Heart Energy Signature generates high quality high resolution images that are
suitable for the medical diagnosis.
Examples:
New 11 Case Studies
Noise Removal Using Wavelet Technology
Example of the Heart Energy Signature (HES) for the Normal Heart -- HES
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] (optional)
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.
| 
BioSignetics Corporation
