IEEE Consumer Electronics Magazine - March/April 2020 - 106

Special Section on Implementable Humanitarian Technology

CONCLUSIONS

Table 2. Pilot test results.
Age
20-32

33-47

48-65

Gender

Test timeframe
(minutes)

Level of
sensitivity

False
rate

114

0.614

0.307

158

0.685

0.364

357

0.722

0.363

272

0.776

0.379

0.652

0.401

0.653

0.395

In this article, a new WBAN platform utilizing
multiple biomedical sensors was developed for
recording physiological signals to medicinal
applications. The presented WBAN architecture
can be useful in remote patient care.

& REFERENCES
1. E. Jovanov, A. Milenkovic, C. Otto, and P. Groen, "A
wireless body area network of intelligent motion
sensors for computer assisted physical rehabilitation,"
J. Neuro-Eng. Rehabil. vol. 2, no. 6, 2005, Art. no. 6.

Pilot trials were performed to gauge the performance of our seizure measuring system in
comparison with video based clinical EEG testing. Table 2 shows the information gathered
from the seizure observations during the pilot
tests. 65% was set as an acceptable sensitivity
factor. The platform tests were satisfactory with
less than 40% a negative false rate and around
11% a positive false rate.

2. Wireless Body Area Networks (WBAN) Standard
Group, Mar. 2009, [Online]. Available: http://www.
ieee802.org/15/pub/TG6.html.
3. C. K. Ho and M. R. Yuce, "Low data rate ultra
wideband ECG monitoring system," in Proc. IEEE Eng.
Med. Biol. Soc. Conf., Aug. 2008, pp. 3413-3416.
4. T. Gao, D. Greenspan, M. Welsh, R. R. Juang, and
A. Alm, "Vital signs monitoring and patient tracking over
a wireless network," in Proc. IEEE-EMBS 27th Annu. Int.
Conf. Eng. Med. Biol., Sep. 2005, pp. 102-105.
5. A. S. Abiodun, M. Anisi, I. Ali, A. Akhunzada, and

Heart Rate
The observed heart rate information was
compared with the data read by the polar watch
and a bicycle grasp heart rate activity screen.
This was done under four conditions. These
were, while the patient was 1) resting, 2) with
light movement, 3) in direct action, and 4) in
energetic action. The heart rate information
acquired from the sensors clearly indicated the
associated behavior under each condition.
For benchmarking, medically certified sensors were employed to validate wearable sensors data. Initially some discrepancies were
found, however, after increasing the sampling
rate to 10 samples/second seems to improve the
performance significantly.
The relationship between false alarms and
missed detection depends on the characteristics
of the decision making process. The ideal scenario
would be for both probabilities to be extremely
small. In the real world this is not possible,
because a reduction in false alarms often leads to
an increase in missed detection and vice-versa.
But we can get close by using an appropriate decision making rule and the threshold value algorithms according to Neyman-Pearson lemma. The
outcome, however, depends on the probability
density functions of the events under concern.

106

M. Khan, "Reducing power consumption in wireless
body area networks," IEEE Consum. Electron. Mag.,
vol. 6, no. 10, pp. 38-47, Oct. 2017.
6. E. Jafer, A. S. Mahmoud, S. Hussain, and X. Fernando,
"Wireless body area network development for
connected health care applications," in Proc. IEEE Int.
Humanitarian Conf., Jul. 2017, pp. 26-31.
7. J. Lockman, R. S. Fisher, and D. M. Olson,
"Detection of seizure-like movements using a
wrist accelerometer," Epilepsy Behav., vol. 20,
pp. 638-641, 2011.

Essa Jafer is currently a faculty member with the
Department of Electrical Engineering, Princess
Sumaya University for Technology, Amman, Jordan.
Contact him at essajh@gmail.com.
Sattar Hussain is currently a faculty member with
the Department of Information and Communications
Engineering Technology, Centennial College, Scarborough, ON, Canada. Contact him at shussa98@my.
centennialcollege.ca.
Xavier Fernando is currently a Professor and
Director of Communications Laboratory, Ryerson
University, Toronto, ON, Canada. Contact him at
fernando@ee.ryerson.ca.

IEEE Consumer Electronics Magazine

http://www.ieee802.org/15/pub/TG6.html http://www.ieee802.org/15/pub/TG6.html

IEEE Consumer Electronics Magazine - March/April 2020

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - March/April 2020