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E learning in pharmaceutical continuing


participation from the analog circuitry and wireless commu-
nication module. For these tests the corresponding ECG 
signal was generated in the analog form (amplitude scale 
3.9
m
V/LSB, fp 200Hz, output impedance 500
W
). This sig
-
nal was captured, interpreted and the result RR sequences 
provided by a wearable reorder via Bluetooth interface 
were compared to their re ferences.
Results
Results of the comparison between two RR in terval series and 
heart beat annotation are pre sented for software and overall 
tests in table 1 and 2 respectively. 
Complementary results reveal the beneits from the applied 
data transfer modes. The Bluetooth module requires 160 mW 
of power for operation, while only 3.1 mW in standby mode. For 
the HRV data packet collected in one hour (9 kB) the meas ured 
duration of the transmission session is 7 s (including the connec-
tion setup, conirmation and backward settings of parameters). 
The average power consumption in the longest packet reporting 
mode may thus be signiicantly reduced from its initial value of 
161 mW to 1,3 mW i.e. by 99.2%. The corresponding extension 
of subject’s device autonomous operation allows for 230h instead 
of 1,8h in seamless reporting.
Tab. 1.
Difference of RR intervals between the tested and commercial interpretation software, and the sensitivity and speciicity 
of normal heart beats labeling (testing of the embedded software)
MIT-BIH ID
avgDRR 
[ms]
stdDRR 
[ms]
sens NN 
[%]
spec NN 
[%]
100
5.7
3.1
98.8
99.1
101
6.6
4.7
99.1
99.2
.....
234
12.1
7.1
97.3
95.4
Average
6.83
5.37
98.5

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