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ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012



          Comparison of Normal and Ventricular
     Tachyarrhythmic Electrocardiograms using Scatter
                          Plots
                                         Shreya Das 1 and Dr. Monisha Chakraborty*,1
                             1
                               Student, School of Bio-Science and Engineering, Jadavpur University,
                                        188, Raja S. C. Mallik Road, Jadavpur, Kolkata, India
                      *,1
                          Assistant Professor, School of Bio-Science and Engineering, Jadavpur University,
                                        188, Raja S. C. Mallik Road, Jadavpur, Kolkata, India
                               shreyadas.jadavpuruniv@gmail.com, *,1monishack@school.jdvu.ac.in
                                                      *, 1
                                                           Corresponding Author


Abstract- Ventricular tachyarrhythmia is a cardiac disease in which         and thus its depolarisation dominates the ECG wave. The
the electrocardiogram shows occurrence of ventricular tachycardia,          QRS complex ends at the J point and from here starts the ST
flutter and fibrillation. This tachycardia is often precursor to            segment. The ST segment which lies between the J point and
ventricular fibrillation or stoppage of heart beats. In this paper a
                                                                            the onset of the T wave, represents the period between the
comparison has been shown between the RdR maps of the RR
                                                                            end of ventricular depolarisation and repolarisation. The T
intervals of normal and ventricular tachyarrhythmic ECGs. RdR
maps are a scatter plot of RR intervals and change in the RR                wave is the result of ventricular repolarisation. This wave in
intervals of ECGs. This plot has been chosen because of its                 a normal ECG is asymmetrical as the first part of this wave is
computational simplicity.                                                   more gradual than the subsequent part. The QT interval is
                                                                            measured from the beginning of the QRS complex to the end
Index Terms-ventricular tachyarrhythmia, electrocardiogram,                 of the T wave. Measurement of this interval is done by taking
tachycardia, flutter, fibrillation, RR intervals                            into account the heart rate as this interval elongates as heart
                                                                            rate decreases. The last part of the ECG is the U wave which
                          I. INTRODUCTION                                   is found just after the T wave ends. It is a small deflection
                                                                            and generally upright [1-2].
    Cardiac diseases are one of the major killers in present
                                                                                 This paper looks at the difference in the patterns of the
times and electrocardiogram or ECG is a well known tool for
                                                                            scatter diagram of RR interval versus dRR interval in diseased
diagnosing these diseases. It is a popular biosignal of interest
                                                                            ECG as compared to normal sinus rhythm. RR intervals are
because of its acquisition being non-invasive and without
                                                                            found out from the ECGs after QRS detection using the
any harmful side-effects.
                                                                            established Pan Tompkins’ algorithm [3-4]. The reason for
    In order to diagnose diseases it is important to know the
                                                                            plotting the RR interval versus dRR interval plot is because
ECG waves showing normal condition of heart. This wave
                                                                            of its’ computational simplicity [5-6]. Computational simplicity
consists of certain parts named as the P wave, PR interval,
                                                                            is useful in case of automated detection of arrhythmia from
QRS complex, ST segment, T wave, QT interval and then the
                                                                            ECGs using implantable devices like loop recorder or chronic
infrequent presence of U wave. The sino- atrial node or the
                                                                            implantable monitors (CIM) [7]. For this paper the diseased
SA node is positioned on the left atrium and this initiates the
                                                                            data has been taken from Physionet. The algorithm has been
electrical signal causing atrial depolarisation. Although the
                                                                            run on ten data named cu01 to cu10 [11]. The raw data
atrium is anatomically divided into two parts, electrically they
                                                                            available in Physionet were passed through an active second
function as one part. Atria have very little muscle and produce
                                                                            order low-pass Bessel filter of cut-off frequency 70 Hz, and
a wave of small amplitude called the P wave. The PR segment
                                                                            were digitised at 250 Hz with 12-bit resolution over a 10 V
is the subsequent part after the P wave and occurs as the
                                                                            range (10 mV nominal relative to the unamplified signals).
electrical impulse is conducted through the atrio-ventricular
                                                                            Each data is approximately 8.5 minutes in duration. These
node or the AV node, bundle of His and Purkinje fibres. The
                                                                            data show the presence of sustained ventricular tachycardia,
PR interval can be defined as the time between the onset of
                                                                            ventricular flutter and ventricular fibrillation [11].
atrial depolarisation and theonset of ventricular
                                                                                 Ventricular fibrillation is a serious condition of the heart
depolarisation. After the PR interval, QRS complex occurs.
                                                                            which may lead to stoppage of the heart if untreated.
This complex is generated by the depolarisation wave which
                                                                            Precursor of fibrillation is often ventricular tachycardia or
travels through the interventricular septum via the bundle of
                                                                            flutter. So it is important to detect flutter and tachycardia in
His and bundle branches and reaches the ventricular
                                                                            the ECG. Ventricular tachycardia is defined as three or more
myocardium via the Purkinje fibre network. The impulse first
                                                                            ventricular extrasystoles in succession at a rate of more
depolarises the left side of the septum, and then spreads
                                                                            than 120 beats per minute.The tachycardia may be self
towards the right. The left ventricle has larger muscle mass
© 2012 ACEEE                                                           32
DOI: 01.IJIT.02.02. 106
ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012


terminating but is described as “sustained” if it lasts longer           wandering and T wave interference. QRS energy is maximised
than 30 seconds [2]. This kind of tachycardia falls under                by the pass band of approximately in the 5 to 15 Hz range.
broad category tachycardia which maybe of ventricular or                 The filter is an integer filter which has poles located such so
supraventricular in origin but is mostly ventricular. In                 as to cancel out the zeroes. The high pass filter is implemented
ventricular tachycardia the sequence of cardiac activation is            by subtracting a first order low pass filter from an all pass
altered, and the impulse no longer follows the normal                    filter with delay.
intraventricular conduction pathway. As a consequence, the
                                                                         B. DERIVATIVE OF PAN TOMPKINS’ ALGORITHM
morphology of the QRS complex is bizarre, and the duration
of the complex is prolonged [2].                                             To provide information about the slope of the QRS
                                                                         complex, differentiation of the band pass filtered signal is
                           II. PROCEDURE                                 done. A five point derivative [4] is implemented using the
                                                                         transfer function as given in (3).
A. FILTERING USING PAN TOMPKINS’ ALGORITHM
                                                                         C. SQUARING OF PAN TOMPKINS’ ALGORITHM
 In this algorithm, the raw data obtained as shown in Fig. 1
                                                                             After derivative, the signal is to be squared. This is a non-
and Fig. 3 are passed through the band pass filter, which is
                                                                         linear processing and it is done to get all positive values from
the combination of a low pass filter and then a high pass filter
                                                                         the signal. Point by point squaring of the signal obtained from
[3-4]. The difference equations are as shown in (1) and (2).
                                                                         the differentiator is implemented [4].
The difference equation of low pass filter [4],
y(nT)=2y(nT-T) – y(nT-2T) + x(nT) – 2x(nT-6T) + x(nT-12T)                D. MOVING INTEGRATOR OF PAN TOMPKINS’ ALGORITHM
(1)                                                                          The slope of the R wave is not the absolute way to detect
The difference equation of high pass filter [4],                         QRS complexes in an ECG. There may be many long duration
y(nT)=y(nT-16T) –        [y(nT-T) + x(nT) – x(nT-32T)] (2)               and large amplitude QRS waves in the ECG which is abnormal.
                                                                         Only slope of R wave cannot detect these waves. So a moving
    Then the derivative of the band pass filtered signal is              window integrator is used so that these waves can well be
obtained and as in the Pan Tompkins algorithm. Squaring of               detected and the outputs from this block are shown in Fig. 2 for
the derivative signal shows the QRS complexes. In the next               the normal data and Fig. 4 for the diseased data.
block a moving point integral is used. The difference
equations of derivative, squaring and moving point integral
are as shown in (3), (4) and (5).
Difference equation of derivative [4],
y(nT)= [2x(nT) + x(nT-T) – x(nT-3T) – 2x(nT-4T)               (3)
 Equation for squaring [4],
y(nT)=[x(nT)]2                                                (4)
Difference equation of moving point integral [4],
y(nT)= [x(nT-(N-1)T) + x(nT – (N-2)T) +…+ x(nT)] (5)
Here N is the number of samples in the width of the moving
point integral.
B. RR INTERVAL VERSUS DRR PLOT
                                                                                         Figure 1. Raw data of normal ECG
     After QRS detection has been done, RR intervals from
the signal are extracted. This RR interval signal is again used
to find out the dRR intervals, which are the difference between
two consecutive RR intervals. A plot is made using these two
signals, namely RR and dRR in the x-axis and y-axis
respectively [5].

              III. RESULTS AND DISCUSSION
A. BAND   PASS FILTER OF   PAN TOMPKINS’ ALGORITHM
    The band pass filter that has been used has been done
by using a low pass filter and then a high pass filter in cascade
[3-4]. The purpose of low pass filter is to suppress high
frequency noise. This band pass filter for QRS detection
                                                                                     Figure 2. QRS complexes of normal ECG
algorithm reduces noise in the ECG signal by matching the
spectrum of average QRS complex, eliminating noise due to
muscle artefacts, 60 Hz power line interference,baseline
© 2012 ACEEE                                                        33
DOI: 01.IJIT.02.02.106
ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012




       Figure3. Raw ventricular arrhythmic ECG (data cu04)                        Figure6. RdR plot of diseased ECG (data cu04)
                                                                                                CONCLUSIONS
                                                                           As can be observed from the figures, distinct spatial
                                                                       distributions are occurring in the RdR plots of normal rhythm
                                                                       and ventricular tachyarrythmic data. In the normal ECG, as
                                                                       the RR intervals as well as the change in the RR intervals are
                                                                       regular and the scatter plots are confined to a very small
                                                                       region as shown in Fig. 5. But in case of the diseased data,
                                                                       because of the presence of the sustained ventricular
                                                                       tachycardia and flutter, there are irregularities in the RR
                                                                       intervals and consequently irregularities in the change in the
                                                                       RR intervals. So they show a ‘spread out’ region in the RdR
                                                                       plot, as shown in Fig. 6. Also the negative values of the dRR
           Figure 4. QRS complexes of ECG (data cu04)
                                                                       intervals indicate the presence of shorter RR intervals due to
E.RR INTERVALS VERSUS DRR INTERVALS PLOT                               faster beating of the heart. Thus it can be concluded that
    The plot of RR (in the x-axis) intervals and dRR intervals         plotting a RdR plot from the ECG can be an effective way to
(in the y-axis) is different from conventional Lorenz’s plot           detect ventricular tachycardia.
which uses either RR intervals or dRR intervals [7-10]. This                                     REFERENCES
plot is named as RdR plot [5]. In this paper RdR plot has been
plotted after extracting the RR intervals and dRR intervals            [1] Gary D. Clifford, Francisco Azuaje, Patrick E. McSharry,
                                                                       Advanced Methods and Tools for ECG Data Analysis. Engg. in
from the QRS detected signal of the electrocardiogram data.
                                                                       Medicine & Biology, Artech House, Boston, London, 2006.
This plot shows both the heart rate interval and the change            [2] Francis Morris, June Edhouse, William J. Brady, John Camm,
in the heart rate interval in the same plot. RdR plots can then        ABC of Clinical Electrocardiography. BMJ Books, London, 2003.
be used for cardiac rhythm classification [5]. The RdR plots           [3] J. Pan, W.J. Tompkins, “A real-time QRS detection algorithm”,
for normal and ventricular tachyarrythmic electrocardiograms           IEEE Trans. Biomed Eng., vol. 32,1985, pp.-230-236.
are shown in Fig. 5 and Fig. 6 respectively. The diseased ECG          [4] W.J. Tompkins, Biomedical Digital Signal Processing. Prentice
shows the data inclined towards the lower right direction as           Hall, Englewood Cliffs, NJ, 1993.
shorter RR intervals tend to have negative dRR values [5].              [5] Jie Lian, Lian Wang, Dirk Muessig, “A simple method to detect
                                                                       atrial fibrillation using RR intervals”, Am. J. Cardiol, 107, 2011,
                                                                       pp.-1494-1497.
                                                                       [6] Robert D. Throne, “Scatter diagram analysis for distinguishing
                                                                       sinus rhythm from monomorphic ventricular tachycardia”, IEEE,
                                                                       Computers in Cardiology, 1995, pp.-425-428.
                                                                       [7] Shantanu Sarkar, David Ritshcher, Rahul Mehra, “A detector
                                                                       for a chronic implantable atrial tachyarrythmia monitor”, IEEE
                                                                       Trans. Biomed. Eng., March 2008, vol. 55, No. 3.
                                                                       [8] Alireza Ghodrati, Bill Murray, Stephen Marinello, “RR interval
                                                                       analysis for detection of atrial fibrillation in ECG monitors”, 30 th
                                                                       Annual International IEEE EMBS Conference, August 2008.
                                                                       [9] Redmond D. Shouldice, Conor Heneghan, Philip de Chazal,
                                                                       “Automated detection of paroxysmal atrial fibrillation from inter
                                                                       heart beat intervals”, Proceedings of the 29th Annual International
                                                                       Conference of the IEEE EMBS, August 2007.
                 Figure5. RdR plot of normal ECG                       [10] www.biomedical-engineering-online.com/content/8/1/38
                                                                       [11]www.physionet.org/physiobank/database/cudb/

© 2012 ACEEE                                                      34
DOI: 01.IJIT.02.02.106

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Comparison of Normal and Ventricular Tachyarrhythmic Electrocardiograms using Scatter Plots

  • 1. ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012 Comparison of Normal and Ventricular Tachyarrhythmic Electrocardiograms using Scatter Plots Shreya Das 1 and Dr. Monisha Chakraborty*,1 1 Student, School of Bio-Science and Engineering, Jadavpur University, 188, Raja S. C. Mallik Road, Jadavpur, Kolkata, India *,1 Assistant Professor, School of Bio-Science and Engineering, Jadavpur University, 188, Raja S. C. Mallik Road, Jadavpur, Kolkata, India shreyadas.jadavpuruniv@gmail.com, *,1monishack@school.jdvu.ac.in *, 1 Corresponding Author Abstract- Ventricular tachyarrhythmia is a cardiac disease in which and thus its depolarisation dominates the ECG wave. The the electrocardiogram shows occurrence of ventricular tachycardia, QRS complex ends at the J point and from here starts the ST flutter and fibrillation. This tachycardia is often precursor to segment. The ST segment which lies between the J point and ventricular fibrillation or stoppage of heart beats. In this paper a the onset of the T wave, represents the period between the comparison has been shown between the RdR maps of the RR end of ventricular depolarisation and repolarisation. The T intervals of normal and ventricular tachyarrhythmic ECGs. RdR maps are a scatter plot of RR intervals and change in the RR wave is the result of ventricular repolarisation. This wave in intervals of ECGs. This plot has been chosen because of its a normal ECG is asymmetrical as the first part of this wave is computational simplicity. more gradual than the subsequent part. The QT interval is measured from the beginning of the QRS complex to the end Index Terms-ventricular tachyarrhythmia, electrocardiogram, of the T wave. Measurement of this interval is done by taking tachycardia, flutter, fibrillation, RR intervals into account the heart rate as this interval elongates as heart rate decreases. The last part of the ECG is the U wave which I. INTRODUCTION is found just after the T wave ends. It is a small deflection and generally upright [1-2]. Cardiac diseases are one of the major killers in present This paper looks at the difference in the patterns of the times and electrocardiogram or ECG is a well known tool for scatter diagram of RR interval versus dRR interval in diseased diagnosing these diseases. It is a popular biosignal of interest ECG as compared to normal sinus rhythm. RR intervals are because of its acquisition being non-invasive and without found out from the ECGs after QRS detection using the any harmful side-effects. established Pan Tompkins’ algorithm [3-4]. The reason for In order to diagnose diseases it is important to know the plotting the RR interval versus dRR interval plot is because ECG waves showing normal condition of heart. This wave of its’ computational simplicity [5-6]. Computational simplicity consists of certain parts named as the P wave, PR interval, is useful in case of automated detection of arrhythmia from QRS complex, ST segment, T wave, QT interval and then the ECGs using implantable devices like loop recorder or chronic infrequent presence of U wave. The sino- atrial node or the implantable monitors (CIM) [7]. For this paper the diseased SA node is positioned on the left atrium and this initiates the data has been taken from Physionet. The algorithm has been electrical signal causing atrial depolarisation. Although the run on ten data named cu01 to cu10 [11]. The raw data atrium is anatomically divided into two parts, electrically they available in Physionet were passed through an active second function as one part. Atria have very little muscle and produce order low-pass Bessel filter of cut-off frequency 70 Hz, and a wave of small amplitude called the P wave. The PR segment were digitised at 250 Hz with 12-bit resolution over a 10 V is the subsequent part after the P wave and occurs as the range (10 mV nominal relative to the unamplified signals). electrical impulse is conducted through the atrio-ventricular Each data is approximately 8.5 minutes in duration. These node or the AV node, bundle of His and Purkinje fibres. The data show the presence of sustained ventricular tachycardia, PR interval can be defined as the time between the onset of ventricular flutter and ventricular fibrillation [11]. atrial depolarisation and theonset of ventricular Ventricular fibrillation is a serious condition of the heart depolarisation. After the PR interval, QRS complex occurs. which may lead to stoppage of the heart if untreated. This complex is generated by the depolarisation wave which Precursor of fibrillation is often ventricular tachycardia or travels through the interventricular septum via the bundle of flutter. So it is important to detect flutter and tachycardia in His and bundle branches and reaches the ventricular the ECG. Ventricular tachycardia is defined as three or more myocardium via the Purkinje fibre network. The impulse first ventricular extrasystoles in succession at a rate of more depolarises the left side of the septum, and then spreads than 120 beats per minute.The tachycardia may be self towards the right. The left ventricle has larger muscle mass © 2012 ACEEE 32 DOI: 01.IJIT.02.02. 106
  • 2. ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012 terminating but is described as “sustained” if it lasts longer wandering and T wave interference. QRS energy is maximised than 30 seconds [2]. This kind of tachycardia falls under by the pass band of approximately in the 5 to 15 Hz range. broad category tachycardia which maybe of ventricular or The filter is an integer filter which has poles located such so supraventricular in origin but is mostly ventricular. In as to cancel out the zeroes. The high pass filter is implemented ventricular tachycardia the sequence of cardiac activation is by subtracting a first order low pass filter from an all pass altered, and the impulse no longer follows the normal filter with delay. intraventricular conduction pathway. As a consequence, the B. DERIVATIVE OF PAN TOMPKINS’ ALGORITHM morphology of the QRS complex is bizarre, and the duration of the complex is prolonged [2]. To provide information about the slope of the QRS complex, differentiation of the band pass filtered signal is II. PROCEDURE done. A five point derivative [4] is implemented using the transfer function as given in (3). A. FILTERING USING PAN TOMPKINS’ ALGORITHM C. SQUARING OF PAN TOMPKINS’ ALGORITHM In this algorithm, the raw data obtained as shown in Fig. 1 After derivative, the signal is to be squared. This is a non- and Fig. 3 are passed through the band pass filter, which is linear processing and it is done to get all positive values from the combination of a low pass filter and then a high pass filter the signal. Point by point squaring of the signal obtained from [3-4]. The difference equations are as shown in (1) and (2). the differentiator is implemented [4]. The difference equation of low pass filter [4], y(nT)=2y(nT-T) – y(nT-2T) + x(nT) – 2x(nT-6T) + x(nT-12T) D. MOVING INTEGRATOR OF PAN TOMPKINS’ ALGORITHM (1) The slope of the R wave is not the absolute way to detect The difference equation of high pass filter [4], QRS complexes in an ECG. There may be many long duration y(nT)=y(nT-16T) – [y(nT-T) + x(nT) – x(nT-32T)] (2) and large amplitude QRS waves in the ECG which is abnormal. Only slope of R wave cannot detect these waves. So a moving Then the derivative of the band pass filtered signal is window integrator is used so that these waves can well be obtained and as in the Pan Tompkins algorithm. Squaring of detected and the outputs from this block are shown in Fig. 2 for the derivative signal shows the QRS complexes. In the next the normal data and Fig. 4 for the diseased data. block a moving point integral is used. The difference equations of derivative, squaring and moving point integral are as shown in (3), (4) and (5). Difference equation of derivative [4], y(nT)= [2x(nT) + x(nT-T) – x(nT-3T) – 2x(nT-4T) (3) Equation for squaring [4], y(nT)=[x(nT)]2 (4) Difference equation of moving point integral [4], y(nT)= [x(nT-(N-1)T) + x(nT – (N-2)T) +…+ x(nT)] (5) Here N is the number of samples in the width of the moving point integral. B. RR INTERVAL VERSUS DRR PLOT Figure 1. Raw data of normal ECG After QRS detection has been done, RR intervals from the signal are extracted. This RR interval signal is again used to find out the dRR intervals, which are the difference between two consecutive RR intervals. A plot is made using these two signals, namely RR and dRR in the x-axis and y-axis respectively [5]. III. RESULTS AND DISCUSSION A. BAND PASS FILTER OF PAN TOMPKINS’ ALGORITHM The band pass filter that has been used has been done by using a low pass filter and then a high pass filter in cascade [3-4]. The purpose of low pass filter is to suppress high frequency noise. This band pass filter for QRS detection Figure 2. QRS complexes of normal ECG algorithm reduces noise in the ECG signal by matching the spectrum of average QRS complex, eliminating noise due to muscle artefacts, 60 Hz power line interference,baseline © 2012 ACEEE 33 DOI: 01.IJIT.02.02.106
  • 3. ACEEE Int. J. on Information Technology, Vol. 02, No. 02, April 2012 Figure3. Raw ventricular arrhythmic ECG (data cu04) Figure6. RdR plot of diseased ECG (data cu04) CONCLUSIONS As can be observed from the figures, distinct spatial distributions are occurring in the RdR plots of normal rhythm and ventricular tachyarrythmic data. In the normal ECG, as the RR intervals as well as the change in the RR intervals are regular and the scatter plots are confined to a very small region as shown in Fig. 5. But in case of the diseased data, because of the presence of the sustained ventricular tachycardia and flutter, there are irregularities in the RR intervals and consequently irregularities in the change in the RR intervals. So they show a ‘spread out’ region in the RdR plot, as shown in Fig. 6. Also the negative values of the dRR Figure 4. QRS complexes of ECG (data cu04) intervals indicate the presence of shorter RR intervals due to E.RR INTERVALS VERSUS DRR INTERVALS PLOT faster beating of the heart. Thus it can be concluded that The plot of RR (in the x-axis) intervals and dRR intervals plotting a RdR plot from the ECG can be an effective way to (in the y-axis) is different from conventional Lorenz’s plot detect ventricular tachycardia. which uses either RR intervals or dRR intervals [7-10]. This REFERENCES plot is named as RdR plot [5]. In this paper RdR plot has been plotted after extracting the RR intervals and dRR intervals [1] Gary D. Clifford, Francisco Azuaje, Patrick E. McSharry, Advanced Methods and Tools for ECG Data Analysis. Engg. in from the QRS detected signal of the electrocardiogram data. Medicine & Biology, Artech House, Boston, London, 2006. This plot shows both the heart rate interval and the change [2] Francis Morris, June Edhouse, William J. Brady, John Camm, in the heart rate interval in the same plot. RdR plots can then ABC of Clinical Electrocardiography. BMJ Books, London, 2003. be used for cardiac rhythm classification [5]. The RdR plots [3] J. Pan, W.J. Tompkins, “A real-time QRS detection algorithm”, for normal and ventricular tachyarrythmic electrocardiograms IEEE Trans. Biomed Eng., vol. 32,1985, pp.-230-236. are shown in Fig. 5 and Fig. 6 respectively. The diseased ECG [4] W.J. Tompkins, Biomedical Digital Signal Processing. Prentice shows the data inclined towards the lower right direction as Hall, Englewood Cliffs, NJ, 1993. shorter RR intervals tend to have negative dRR values [5]. [5] Jie Lian, Lian Wang, Dirk Muessig, “A simple method to detect atrial fibrillation using RR intervals”, Am. J. Cardiol, 107, 2011, pp.-1494-1497. [6] Robert D. Throne, “Scatter diagram analysis for distinguishing sinus rhythm from monomorphic ventricular tachycardia”, IEEE, Computers in Cardiology, 1995, pp.-425-428. [7] Shantanu Sarkar, David Ritshcher, Rahul Mehra, “A detector for a chronic implantable atrial tachyarrythmia monitor”, IEEE Trans. Biomed. Eng., March 2008, vol. 55, No. 3. [8] Alireza Ghodrati, Bill Murray, Stephen Marinello, “RR interval analysis for detection of atrial fibrillation in ECG monitors”, 30 th Annual International IEEE EMBS Conference, August 2008. [9] Redmond D. Shouldice, Conor Heneghan, Philip de Chazal, “Automated detection of paroxysmal atrial fibrillation from inter heart beat intervals”, Proceedings of the 29th Annual International Conference of the IEEE EMBS, August 2007. Figure5. RdR plot of normal ECG [10] www.biomedical-engineering-online.com/content/8/1/38 [11]www.physionet.org/physiobank/database/cudb/ © 2012 ACEEE 34 DOI: 01.IJIT.02.02.106