Instrumentation & Measurement Magazine 23-4 - 47

References

[16]	G. Giorgi, "A combined approach for real-time compression in

[1]	 K. Ashton, "That 'Internet of Things' thing," RFiD J., Jun. 2009.
[2]	 B. Andò, S. Baglio, C. Salvatore, R. Crispino, S. Graziani, V.
Marletta, L. Porcaro, S. Salupo, "NATIFLife-a smart sensor
network for assistive domotics," in Proc. IEEE Int. Symposium on

wireless body sensor networks," IEEE Sensors J., vol. 17, no. 18,
pp. 6129-6135, 2017.
[17]	G. Giorgi, "Lightweight lossless compression for N-dimensional
data in multi-sensor systems," IEEE Sensors J., vol. 19, no. 19, pp.
8895-8903, Oct. 2019.

Meas. Networking (M&N), Jul. 2019.
[3]	 "Telemedicine: Opportunities and Developments in Member
States. Report on the second global survey on eHealth," WHO
Global Observatory for eHealth, 2010 (accessed Jan. 2020).
[Online]. Available: https://apps.who.int/iris/handle/10605/

[18]	E. Keogh, J. Lin, and A Fu, "HOT SAX: Finding the most unusual
time series subsequence: algorithms and applications," in Proc.
Int. Conf. Data Mining 2005 (ICDM), 2005.
[19]	A. Galli, G. Giorgi, and C. Narduzzi, "ECG monitoring and
anomaly detection based on compressed measurements," in Proc

44497.
[4]	 "Body-guardian Remote Monitoring System," Mayo Clinic,
Preventice Solutions (accessed Jan. 2020). [Online]. Available:
http://www.preventice.com/index.html.
[5]	 "Keep Track of Your Patients after Discharge," Biovotion,
(accessed Jan. 2020). [Online]. Available: https://www.biovotion.
com/postdischarge.

3rd Int. Conf. Biomedical Imaging, Signal Processing (ICBSP 2018),
2018.
[20]	G. Da Poian, C. J. Rozell, R. Bernardini, R. Rinaldo, and G.
D. Clifford, "Matched filtering for heart Rate estimation on
compressive sensing ECG measurements," IEEE Tran. Biomedical
Eng., vol. 65, no. 6, 2018.

[6]	 K. Hung, Y. T. Zhang and B. Tai, "Wearable medical devices for
tele-home healthcare," in Proc. 26th Ann. Int. Conf. IEEE Eng.

[21]	"Apple Watch Series 5," Apple.com (accessed Jan. 2020). [Online].
Available: https://www.apple.com/apple-watch-series-5/.

Medicine and Biology Soc., pp. 5384-5387, 2004.
[7]	 A. Galli, G. Giorgi, C. Narduzzi, "Measuring heart rate during
physical exercise by subspace decomposition and Kalman
smoothing," IEEE Trans. Instrum. Meas., vol. 67, no. 5, pp. 11021110, May 2018.
[8]	 G. Frigo and G. Giorgi, "IEEE 802.15.6 compliant WBSN: a case
study," in Proc. IEEE Int. Symp. Meas. Networking (M&N2017), 2017.
[9]	 A. Galli, G. Giorgi, and C. Narduzzi, "Multi-user ECG monitoring
system based on IEEE standard 802.15.6," in Proc. IEEE Int. Symp.
Meas. Networking (M&N2019), Jul. 2019.
[10]	A. Galli, G. Frigo, D. Chindamo, A. Depari, M. Gadola, and G.
Giorgi, "Denoising ECG signal by CSTFM algorithm: monitoring

Giada Giorgi (giada@dei.unipd.it) is currently an Associate
Professor in instrumentation and measurement with the Department of Information Engineering, University of Padova,
Italy. She received the Laurea degree in telecommunication
engineering and the Ph.D. degree in microelectronics and
telecommunications engineering from the University of Padova, Italy, in 2003 and 2007, respectively. Her current research
interests include the development of signal processing applications in measurement and distributed systems, in particular
wireless sensor and actuator networks, wireless body sensor
networks and smartphones.

during motorbike and car races," IEEE Trans. Instrum. Meas., vol.
68, no. 7, Apr. 2019.
[11]	B. Andò, S. Baglio, C. O. Lombardo and V. Marletta, "A
multisensor data-fusion approach for ADL and fall classification,"
IEEE Trans. Instrum. Meas., vol. 65, no. 9, pp. 1960-1967, Sept. 2016.
[12]	G. Giorgi, G. Frigo, and C. Narduzzi, "Dead reckoning in
structured environment for human indoor navigation," IEEE

Alessandra Galli is currently pursuing the Ph.D. degree in information and communication science with the Department
of Information Engineering at the University of Padova, Italy,
where she received the bachelor's degree in biomedical engineering and master's degree in bioengineering in 2015 and
2017, respectively.

Sensors J., vol. 17, no. 23, pp. 7794-7802, 2017.
[13]	T. Schoellhammer, B. Greenstein, E. Osterweil, M. Wimbrow and
D. Estrin, "Lightweight temporal compression of microclimate
datasets [wireless sensor networks]," in Proc. 29th Ann. IEEE Int.
Conf. Local Computer Networks, pp. 516-524, 2004.
[14]	E. J. Candès and M.B Wakin, "An introduction to compressive
sampling," IEEE Signal Processing Mag., vol. 21, March 2008.
[15]	M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G.
Baraniuk, "Signal processing with compressive measurements,"
IEEE J. Selected Topics in Signal Processing 4.2, pp. 445-460, 2010.

June 2020	

Claudio Narduzzi is currently a Full Professor in instrumentation and measurement with the Engineering School,
University of Padova, Italy, where he received the Laurea degree in electronics engineering in 1982. His current research
interests include digital signal processing applications in measurement and distributed test and measurement systems,
spectral analysis, inverse filtering, networked measurement
systems, the application of advances signal processing methods and compressive sampling.

IEEE Instrumentation & Measurement Magazine	47
https://apps.who.int/iris/handle/10605/44497 https://apps.who.int/iris/handle/10605/44497 http://www.preventice.com/index.html https://www.biovotion.com/postdischarge https://www.biovotion.com/postdischarge http://Apple.com https://www.apple.com/apple-watch-series-5/
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