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E learning in pharmaceutical continuing

97.9
Tab. 2.
Difference of RR intervals between the tested and commercial interpretation software, and the sensitivity and speciicity 
of normal heart beats labeling (overall veriication of the system)
MIT-BIH ID
avgDRR 
[ms]
stdDRR 
[ms]
sens NN 
[%]
spec NN 
[%]
100
10.1
5.3
98.7
99.0
101
9.3
4.9
98.9
99.0
.....
234
13.1
9.1
96.9
95.0
Average
8.17
6.96
98.3
97.7
Fig. 3.
Prototype wearable recorder with wireless interface


9
Personal wearable monitor of the heart rate variability
OPENING P
APER
Conclusion
A simple diagnostic system for the assessment of the human 
ANS in motion and during the sleep was designed and tested. 
The system is based on HRV parameters calculated on an ECG- 
-derived tachogram. Thanks to the use of a single recording 
channel and simplicity of the embedded signal processing, the 
target system can be shrunk to less than 1 sq inch, what allows 
for integrated mounting on the electrode. The recording of heart 
rate is continuous, however signiicant extension of au tonomy 
time (up to two hundred hours) is achieved thanks to the pro-
grammable organization of the transfer. Differences between 
the custom-built and reference algorithms expressed in tables 1 
and 2 originate from different detection tech nique, low sampling 
frequency and unknown RR intervals averaging applied in the 
commercial soft ware. 
In author’s opinion, the principal beneit of the system comes 
from the possibility of conditional reporting based on on-board 
calculated HRv pa rameters. 
Acknowledgment
This Scientiic work is supported by the Polish State Committee for 
Scientiic Research resources in years 2009-2012 as a research 
project No. N N518 426736.
References
1. Malik M., Camm A.J. (2004): Dynamic electrocardiography. 
Armonk, NY, Blackwell Futura.
2. Mironova T.F., Mironov v.A., Antyuiev v.F. (2009): Analysis 
of heart rate variability at sinoatrial dysfunction in patients 
with coronary disease. Electrocardiology 2009, pp. 211-
-220. 
3. 
Task Force of the ESC/ASPE (1996): Heart rate variability: 
Standards of measurement, physiological interpretation, 
and clinical use. European Heart Journal, 17, pp. 354-381.
4. Tkacz E. (1996): Nowe możliwości diagno styczne analizy 
zmienności rytmu serca (HRv). Institute of Biocybernetics 
and Biomedical Engineering, Polish Academy of Science, 
Warszawa. 
5. Augustyniak P. (1997): The Use of Shape Fac tors for Heart 
Beats Classiication in Holter Re cordings”. From the con
-
ference 
Com puters in Medicine
, Zakopane, 2-6 May 1997, 
pp. 47-52.
6. Augustyniak P. (1999): Recovering The Pre cise Heart Rate 
From Sparsely Sampled Elec trocardiograms. From the 
conference 
Com puters in Medicine
, Łódź, 23-25 Septem
-
ber 1999, pp. 59-65.
7. Moody G. (1993): MIT/BIH arrhythmia database distribu
-
tion. Cambridge, MA, MIT Division of Health Science and 
Technology.



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ning
BIO-ALGORITHMS AND MED-SYSTEMS
JOURNAL EDITED BY JAGIELLONIAN UNIVERSITY – MEDICAL COLLEGE
Vol. 7, No. 13, 2011, pp. 11-16

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