D04101822

International Journal of Engineering Inventions
e-ISSN: 2278-7461, p-ISSN: 2319-6491
Volume 4, Issue 10 [June 2015] PP: 18-22
www.ijeijournal.com Page | 18
Design of a Tele Medical channel Dedicated to telemonitoring of
cardiac Insufficiency by correlative analysis
L.Badir Benkrelifa1
, S. Rerbal2
, N. Habibes3
, M.Benabdellah4
Département de Génie Electrique et Electronique, Faculté de Technologie, Laboratoire de Génie Biomédical,
Université AbouBekrBelkaid, BP 230, Tlemcen 13000, Algerie
Abstract: The Telemedicine is a new form of improvement of health care quality through new information and
communication technologies, it also creator of a new services facilitating the daily lives of patients with chronic
diseases such as cardiac insufficiency, like professionals, allowing them to be in permanent relation with their
patients receiving vital and pertinent parameters representative of their physiopathological states.
We propose in this work the presentation of a telemedical interface development dedicated to telemonitoring of
cardiac function through a correlative analysis.
This interface comprises a DTE (Data Terminal Equipment Medical Treatment) which is dedicated to recording
of the myocardium electrical activity (electrocardiogram ECG) revealing an eventual deficiency of cardiac
function, using an electrocardiographic amplifier constructed around a microcontroller 16F876A, Charged to
digitizing the signals issued from EDTM and transfer them to a terminal local computer. A Soft interface is
developed on Visual Basic environment, which is charged to control the acquisition, correlative analysis,
archiving and the transfer of a medical data through medical networks via TCP / IP protocol for purposes such
as prevention of sudden death, therapeutic monitoring, medical assistance at home and the urgent intervention
of telemedical actors.
Keywords-cardiac Insufficiency, Electrocardiography, Tele monitoring, Correlative Analysis, Visual Basic,
TCP/IP.
I. INTRODUCTION
Cardiac insufficiency [1] is the incapacity of heart to pump enough blood to respond the needs of the
[2] organism. It is a chronic disease touching approximately 2% of the world population and 10% of patients
older than 80 years [3]. This last is at the origin of repeated hospitalizations and an impaired quality of life of
patients with a very high risk of sudden death touching two on three patients [3]. Indeed, 40% patients die in the
year of diagnosis cardiac Insufficiency.
Indeed, 40% of patients die in the year of their diagnosis of cardiac Insufficiency.
The objective of our work is Therefore to realize a telemedical channel able to ensure a telemonitoring of
cardiac function by the acquisition of electrocardiographic signals.
These ECG signals benefit from a digital processing realizing the following functionality:
The autocorrelation, the layout of the envelope of the autocorrelation function, the approximation of the
envelope of the autocorrelation function by determining their respective attenuation coefficients.
A follow-up in telemonitoring of patients with cardiac Insufficiency [4] and the closer clinical monitoring of
patients suffering with this disease limits the number of hospitalizations [5].
II. MATERIALS AND METHODS
II.1. COLLECTION OF ELECTROCARDIOGRAPHIC SIGNAL
The ECG signal is collected on derivation DI [6] by means of a classical amplifier of instrumentation (figure1)
[7].
It was constructed around a 16F876A microcontroller [8] equipped with a 10bits ADC module and a USART
module with Sampling frequency of 2,4KHz .
Local Protocol Communication (RS232): The parameters RS232 [9] which we have used are:
Transmission speed 57600 bauds
8 bits of data
A bit of parity
A bit of stop
Distant Protocol Communication: The distant transmission of the electrocardiographic signals is done according
to protocol TCP/IP [10] in order to connect the different actors of telemedicine.

Design of a Tele Medical channel Dedicated to telemonitoring of cardiac Insufficiency by correlative
Fig.1 Diagram block of the ECG system
II.2. CORRELATIVE ANALYSIS
Correlative Analysis permits the calculation and plot of the autocorrelation function of the ECG signal. The
calculating algorithm of the auto correlation discrete functions has been implemented in accordance with the
following relation definition (i.e., (1)) [11]:
 
N
q
x
k=τ
1
K τ = x(k)*x(k-τ),avec:N=2
N
et τ=0,..,N.
(1)
We have N=212= 4096 (Corresponding to the number of the sampling signal).
III. RESULTS
In this work, we are targeting the problematic of telemonitoring of cardiac Insufficiency by a correlative
analysis showing in particular the attenuation coefficients, which seem to be
relevant indices for pathological cases.
III.1. INTERFACE OF ECG ACQUISITION AND FILES TRANSFER
We present the interface of communication and ECG file transfer between the patient and the doctor
implemented on Visual Basic environment.
The principal window of the patient consists of command buttons to manage connection, transfer and display of
the patient files recorded previously.
The figure 2.a and the figure 2.b show the transfer interface of the file patient towards the televigilance center or
telemedical center.
Fig. 2.a Patient acquisition and Transfer interface

Fig. 2.b Doctor acquisition and transfer interface
III.2. AUTOCORRELATION FUNCTION
To extract the information from different signal we have used the autocorrelation function of an ECG signal is
shown in figure 3
Fig. 3 Layout of the autocorrelation function of an ECG signal
III.3. LAYOUT OF THE ENVELOPE OF THE AUTOCORRELATION FUNCTIONS
Establishing relevant indices of informative processes such as physiological signals is fact by means of the
envelope of the autocorrelation function which allows to deduce the attenuation coefficients of this one. It seems
to us interesting to put at the disposal of medical practitioners these indices for the prevention of acute phases of
cardiac Insufficiency.
The determination of the envelope and the calculation of the attenuation coefficients is done by using the low
pass filter.
 The transfer function of an ideal low pass filter (i.e., (2)) is:
Consequently its impulse response (i.e., (3)) is:
The transfer functions of a simple filter in sight of its electronic materialization has a following equation (i.e.,
(4)):
Which have a cutting frequency (i.e., (5)):
This filter is use to extract the averages values or the signal envelope.
Layout of the envelope of the autocorrelation function applied to the ECG signal (figure 4).

Fig.4 Plot of the envelope applied to signal ECG
• The approximation of the envelope of the autocorrelation functions:
The approximation of the envelope of the autocorrelation function was obtained by determining the attenuation
coefficients using the algorithm that involves a decreasing exponential (figure 5) according to the following
definition equation (i.e., (6)):
Y = Ae−∝b (6)
Fig.5 Plot of the envelope approximation applied to the ECG signal
• Presentation of attenuation coefficients α of autocorrelation function corresponding to the ECG signals (table
1).
From table 1, we remark that the attenuation coefficients (α) of ECG have the same value approximately around
of 0.45.
Table 1. Presentation of the attenuation coefficients α of the autocorrelation function of ECG signals of ten
volunteers.
Signal C0(1) (A) C0(2) (b) Filter
Ecg1 4.11*103
0.51*10-3
Low pass filter
Ecg2 2.01*103
0.43*10-3
Low pass filter
Ecg3 2.27*103
0.48*10-3
Low pass filter
Ecg4 3.77 *103
0.41 *10-3
Low pass filter
Ecg5 1.99*103
0.41*10-3
Low pass filter
Ecg6 2.12*103
0.42*10-3
Low pass filter
Ecg7 3.15*103
0.49*10-3
Low pass filter
Ecg8 4.27*103
0.52*10-3
Low pass filter
Ecg9 2.31*103
0.47*10-3
Low pass filter
Ecg10 1.95*103
0.41*10-3
Low pass filter

IV. CONCLUSION
The assumption of responsibility of the chronic cardiac insufficient patient is a real problem of health
public.
The incidence of this disease increases considerably with age and exposes patients to several hospitalizations.
This paper is for us the occasion to present works which are articulated around the design of a telemedical
support dedicated to telemonitoring of the cardiac function by the means of a cardiac functional exploration
using electrocardiography which permits to evaluate the severity of cardiac deficiency.
The elaboration of a telemonitoring process of the cardiac function by electrocardiography appeared to us the
most interesting because of its mobility, its non invasivity, its reliability as well as the facility of its use by the
patient himself or any else actor of the telemedicine.
The local control parameters established a hardware and software device based on a microcontroller and RS232
protocol. The distant control uses the TCP / IP protocol involving the Winsock component in Visual Basic
programming environment.
REFERENCES
[1] L. Badir Benkrelifa, M. Benabdellah, « Conception and Development of a Tele-Medical interface
Dedicated to Tele Monitoring of the Renal and Cardiac Insufficiency », INTERNATIONAL JOURNAL OF
ENGINEERING INVENTIONS, VOLUME 3, ISSUE 6 (JANUARY 2014) PP: 46-55.
[2] G. Texier , W. Rhondali , E. Meunier-Lafay , A. Dellinger , C. Gérard , V. Morel M. Filbet,
« Soins palliatifs chez les patients en insuffisance cardiaque terminale», Annales de Cardiologie et
d’Angéiologie 63 (2014) 253–261.
[3] Delahaye F, de Gevigney G. Épidémiologie de l’insuffisance cardiaque.Ann Cardiol Angeiol
2001;50(1):6–11.
[4] P. Dary, « Télésurveillance dans l’insuffisance cardiaque : intérêt d’un suiv i limité à 14 jours
sur 83 patients», European Research in Telemedicine/La Recherche Européenne en Télémédecine
(2014) 3, 125—132.
[5] Stewart S, MacIntyre K, Hole DJ, Capewell S, McMurray JJ. More ―mali-gnant‖ than cancer?
Five-year survival following a first admission for heart failure. Eur J Heart Fail 2001;3(3):315– 22.
[6] N. Kaid Ali Moulhi ―Exploration cardiovasculaire par etudecorrelative des activités électrique et
hemodynamique cardiaques et l’activité rhéologique parietale‖ Magister thesis, 2012.
[7] John G. Webster: ≪ Medical Instrumentation Application and Design≫ ; Année 1998.
[8] Bigonff, La programmation des PICs, Seconde partie- PIC16F876/877, Rev 7, 2002.
[9] W.R. Stevens "TCIP/IP Illustrated, The protocols" , Addison Wesley.
[10] G. Pujolle, «Les Réseaux», Editions Eyrolles, Paris, France, 2000. Isbn: 978-2-212-09119-9.
[11] S. Rerbal, M. Benabdellah, « Development of a Human Machine Interface of Information and
Communication in telemedicine HMI-ICTM: Application to Physiological Digital Signal Processing in
Telemedicine», International Journal of Engineering Inventions, p-ISSN: 2319-6491 Volume 2, Issue 6 (April
2013).
[12] Jihong Yan, Lei Lu « Improved Hilbert – Huang transform based weak signal detection, methodology
and its application on incipient fault diagnosis and ECG signal analysis», 0165-16 84/$, 2013 Elsevier.
[13] Baptiste Trajin, « Analyse Et Traitement De Grandeurs Electriques Pour La Détection Et Le Diagnostic
De Défauts Mécaniques Dans Les Entraînements Asynchrones Application A La Surveillance Des
Roulements A Billes », PhD Thesis, L'institut National Polytechnique De Toulouse, Année 2009.

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