Indigenous software for quantification of autonomic tone

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Indigenous software for quantification of
autonomic tone
All India Institute of Medical SciencesNew
Delhi  110029   India

• Prof. K K Deepak     MD, PhD,
  MNAMS  Professor of Physiology
  kkdeepak_at_gmail.com

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Autonomic Control of Function of Heart
PNS
High freq.
Aff. Nvs.
Autonomic controller
SNS
Low freq.
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Autonomic Control of Function of Heart
PNS
Respiration Blood Pressure Cardiac
Output Renin-Angioten. Thermoregul. Others inputs
High freq.
Aff. Nvs.
Autonomic controller
SNS
Low freq.
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Applied aspect of Cardiac tone (HRV)

• Estimation of vagal tone

• Cardiovascular pathophysiology

• Myocardial Infarction

• Hypertension

• Diabetic neuropathy

• Neurological disorders

• Migraine

• MSA

• Assessment of neonatal ANS

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Applied aspect of vascular tone (BPV)

• Hypertension

• Cardiac Transplant Rejection

• End organ failure

• Hypertensive Pregnancy Disorders

• Risk factor for stroke / SCD / SIDS

• Prognosis in CHF

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Autonomic Tone (HRV) in health and disease
Healthy
Healthy
Heart Attack
Heart transplant
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Indigenously Developed HRV Software for the
Quantification of Autonomic Tone
Objectives
Software development for measurement of
Heart Rate Variability (HRV_Soft) and Blood
Pressure Variability (BPV_Soft)
Online Data Acquisition
Offline Data Analysis
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Development Acquisition Tools Used

• National Instruments USB-6008 DAQ
• National Instruments (NI) Labview FDS 8.0
• NI Measurement and Automation Libraries

• Colin BP-508 BP Monitor
• Finapres Ohmeda 2300 BP Monitor
• DAS port (Nevrokard)
• Analog ECG from any source

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Signal Source Flow Diagram
HRV_Soft
DAQ Module (USB Based)
ECG
Patient
BPV_Soft
Blood Pressure
Analysis Storage
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Main Panel of Indigenously Developed Software
(HRV_Soft)
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Heart Rate Variability
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Validation of our HRV_Soft studies carried out

• We acquired the ECG and BP Signal from the
  Nevrokard DAS port and FINAPRES simultaneously on
  our Software and Nevrokard Software.
• We compared the Time Domain, Frequency Domain
  Non Linear Parameters
• The results were found to be Statistically
  comparable

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Testing Model 1
Single patient source (ECG)
Analog Signal Acquisition
Analog Signal Acquisition
Digitization
Digitization
Nevrokard
HRV_Soft
Analysis
Analysis
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Time Domain Parameters
N22
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FREQUENCY DOMAIN PARAMETERS
N22
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Testing Model
Analog Signal Acquisition
Testing Model 2
Patient ECG
Analog Signal Acquisition ( our software)
Digitization Peak detection by our software
Analysis
Analysis
BPV_Soft
HRV_Soft
Nevrokard
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Pearson Correlation Test of HRV parameters
obtained from 45 subjects as measured from HRV
soft and Neurokard
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One more feature has been developed which can
trace the path of Non Linear behavior. This
actually analyses the phases of development of
Poincare plot.
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What is being delivered ?
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Unique features of our software

• 1.Complete report generation in printable format
  as shown in fig below. Also all the parameter of
  time frequency non-linear analysis are
  transferred to Excel sheet for maintaining
  Database
• 2. Additional Parameters than commercially
  available software.
• 3.Poincare tracking feature in poincare plot
  (Non-linear analysis) allows user to observe
  point-by-point movement of the plot
• 4.Provision for deleting artifacts present in
  the ECG waveform before performing Peak
  detection.
• 5.Robust fully automatic peak detection
  algorithm.
• 6.USB/Serial port connectivity Easy to use
  Graphical User Interface.
• 7.Flexible Cost Effective.

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Compatibility with existing systems
Any device that can pick ECG signals
HRV-Soft BPV-Soft
General compatibility
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Autonomic Function Laboratory, AIIMS
1996
2004
2007
2002