Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Sebastijan Sprager"'
Autor:
Sebastijan Sprager, Matjaz B. Juric
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 22089-22127 (2015)
With the recent development of microelectromechanical systems (MEMS), inertial sensors have become widely used in the research of wearable gait analysis due to several factors, such as being easy-to-use and low-cost. Considering the fact that each in
Externí odkaz:
https://doaj.org/article/d945a17e22774eb68c6fc44c64f00507
Publikováno v:
Sensors, Vol 19, Iss 8, p 1820 (2019)
Activity monitoring using wearables is becoming ubiquitous, although accurate cycle level analysis, such as step-counting and gait analysis, are limited by a lack of realistic and labeled datasets. The effort required to obtain and annotate such data
Externí odkaz:
https://doaj.org/article/cbec7f70677b45b5b13bb3aae601357f
Publikováno v:
Biocybernetics and Biomedical Engineering. 36:267-275
Diagnostics of cardiac arrhythmias and frequent interventions may contribute to early detection of diseases or even prevent sudden death. Generally electrocardiograph with several on body electrodes at outpatient clinic is applied and the procedure r
Autor:
Matjaž B. Jurič, Sebastijan Sprager
Publikováno v:
Sensors; Volume 18; Issue 4; Pages: 1091
Sensors, vol. 18, no. 4, 1091, 2018.
Sensors, Vol 18, Iss 4, p 1091 (2018)
Sensors (Basel, Switzerland)
Sensors, vol. 18, no. 4, 1091, 2018.
Sensors, Vol 18, Iss 4, p 1091 (2018)
Sensors (Basel, Switzerland)
A novel approach for stride segmentation, gait sequence extraction, and gait event detection for inertial signals is presented. The approach operates by combining different local cyclicity estimators and sensor channels, and can additionally employ a
Publikováno v:
PerCom Workshops
The monitoring of patients within a natural, home environment is important in order to close knowledge gaps in the treatment and care of neurodegenerative diseases, such as quantifying the daily fluctuation of Parkinson’s patients’ symptoms. The
Autor:
Sebastijan Sprager, Matjaz B. Juric
Publikováno v:
IEEE Transactions on Information Forensics and Security. 10:1486-1498
We propose a novel efficient and reliable gait authentication approach. It is based on the analysis of accelerometer signals using higher order statistics. Gait patterns are obtained by transformation of acceleration data in feature space represented
Publikováno v:
MIPRO
Besides its principal purpose in the field of biomedical applications, ECG can also serve as a biometric trait due to its unique identity properties, including user-specific deviations in ECG morphology and heart rate variability. In this paper, we e
Autor:
Sebastijan Sprager, Damjan Zazula
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 18:1161-1168
This paper deals with an optimized heartbeat detection multimethod by using maximum a posteriori probability (MAP). The approach was derived for unobtrusive fiber-optic measurements of cardiac activity. Multiple independent detection methods were sel
Autor:
Damjan Zazula, Sebastijan Sprager
Publikováno v:
2013 Africon.
This paper reveals a novel approach to recognize respiration events by using an unobtrusive fiber-optic sensor. When the optical fiber is in a direct or indirect contact with human body, it detects weak contributions of vital signs. After a demodulat
Publikováno v:
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.
In this paper, a possibility of overnight monitoring by using optical interferometric signals was examined. Optical interferometer is a sensitive device that detects physical changes of the length of optical fibre. When used as bed sensor, heartbeats