Login Register Cart 0
Generic placeholder image

Recent Advances in Electrical & Electronic Engineering

Editor-in-Chief

ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Design of Wireless Motion Sensor Nodes based on the Kalman Filter Algorithm

Author(s): Yuye Zhang*

Volume 16, Issue 3, 2023

Published on: 10 October, 2022

Page: [248 - 255] Pages: 8

DOI: 10.2174/2352096515666220908152036

Price: $65

Abstract

Background: In recent years, wireless sensor network technology has been the center of attention in the international community. It has been a key element in e-health to monitor bodies. This technology enables new applications in different domains, including medical, physical training, etc.

Methods: Some sensors in WSN (Wireless Sensor Nodes) capture physiological data such as temperature, heartbeat and moving distance. The ECG signal is obtained by an analog front-end chip ADS1292 and processed by an adaptive Kalman filter algorithm. The sensor LMT70 is used to gather the body temperature; the acceleration sensor MPU6050 is used to detect, capture, recognize and identify other body gestures and motions data and the STM32F103C8 microprocessor is used as the kernel control module. WSN sensor nodes provide wireless monitoring due to transceiver module NRF24L01for anybody, anywhere and anytime.

Results: Each measurement result can meet physiological index demands.

Conclusion: The system can be used to avoid sports accidents and injuries and to plan for future training and realized in LAB conveniently owing to the high cost-performance ratio.

Keywords: WSN, wireless, transceiver, motion information, kalman filter, algorithm.

« Previous Next »
Graphical Abstract

[1]
S. Ullah, H. Higgins, B. Braem, B. Latre, C. Blondia, I. Moerman, S. Saleem, Z. Rahman, and K.S. Kwak, "A comprehensive survey of wireless body area networks", J. Med. Syst., vol. 36, no. 3, pp. 1065-1094, 2012.
[http://dx.doi.org/10.1007/s10916-010-9571-3] [PMID: 20721685]
[2]
D.B. Smith, D. Miniutti, T.A. Lamahewa, and L.W. Hanlen, "Propagation models for body-area networks: A survey and new outlook", IEEE Antennas Propag. Mag., vol. 55, no. 5, pp. 97-117, 2013.
[http://dx.doi.org/10.1109/MAP.2013.6735479]
[3]
M.S. Hajar, M.O. Al-Kadri, and H.K. Kalutarage, "A survey on wireless body area networks: Architecture, security challenges and research opportunities", J. Comput. Secur., vol. 104, pp. 10-25, 2021.
[4]
R. Cavallari, F. Martelli, R. Rosini, C. Buratti, and R. Verdone, "A survey on wireless body area networks: Technologies and design chal-lenges", IEEE Commun. Surv. Tutor., vol. 16, no. 3, pp. 1635-1657, 2014.
[http://dx.doi.org/10.1109/SURV.2014.012214.00007]
[5]
I. Al Barazanchi, H.R. Abdulshaheed, M. Safiah, and B. Sidek, "A survey: “Issues and challenges of communication technologies in WBAN, Sustain”", Eng. Innov, vol. 1, pp. 84-90, 2020.
[6]
P. Kasyoka, M. Kimwele, and S.M. Angolo, "Certificateless pairing-free authentication scheme for wireless body area network in healthcare management system", J. Med. Eng. Technol., vol. 44, no. 1, pp. 12-19, 2020.
[http://dx.doi.org/10.1080/03091902.2019.1707890] [PMID: 31939688]
[7]
P. Krishnamurthy, N. Swethaanjali, and M.A.B. Laxshmi, Comparison of various filtering techniques used for removing high frequency noise in ECG signal Int. J. Students Res. Technol. manage.. vol. 3, pp. 211-215, 2015.
[8]
J.J. Liu, G.J. Liu, and S.J. Song, "Design of human ECG monitoring system based on kalman filter", Dianzi Celiang Jishu, vol. 39, pp. 157-161, 2016.
[9]
Z.J. Zhao, Y.P. Yang, and Z.G. Wang, "A design method of ECG signal acquisition in medical animal experiment", Electronics Quality., vol. 27, pp. 22-26, 2020.
[10]
N. Rastogi, and R. Mehra, "Analysis of butterworth and chebyshev filters for ECG denoising using wavelets", IOSR J. Elect. Commun. Engin., vol. 6, no. 6, pp. 37-44, 2013.
[http://dx.doi.org/10.9790/2834-0663744]
[11]
L. Smital, M. Vítek, J. Kozumplík, and I. Provazník, "Adaptive wavelet wiener filtering of ECG signals", IEEE Trans. Biomed. Eng., vol. 60, no. 2, pp. 437-445, 2013.
[http://dx.doi.org/10.1109/TBME.2012.2228482] [PMID: 23192472]
[12]
Y. Song, and X.F. Zhang, "Analysis the characteristic of ECG signals based on the phase transfer entropy", J. Shaanxi Norm. Uni., vol. 46, pp. 52-56, 2018.
[13]
B.U. Köhler, C. Hennig, and R. Orglmeister, "The principles of software QRS detection", IEEE Eng. Med. Biol. Mag., vol. 21, no. 1, pp. 42-57, 2002.
[http://dx.doi.org/10.1109/51.993193] [PMID: 11935987]
[14]
W.Z. Han, D. Feng, P. Li, and W.C. Ma, "Design of pedometer based on acceleration sensor LIS3DH, Transducer and micro system", Technologies, vol. 31, pp. 97-99, 2012.
[15]
Z.Q. Liao, W.G. Wang, S.Q. Tang, and X.D. Wu, "The monitoring system of three dimensional positioning to hand-held electric tool mo-tion state based on MEMS sensor", Indus. Instrument. Auto., vol. 50, pp. 3-7, 2020.
[16]
H. Pan, X.X. He, and S.T. Liu, "Design of oil and gas safety intelligent patrol robot base on A* algorithm", Jisuanji Celiang Yu Kongzhi, vol. 29, pp. 230-233, 2021.
[17]
Y. Huang, W.J. Sun, D.L. Wang, X.M. Wu, and Y.H. Yuan, "QRS complexes detection method of electrocardiogram signal based on Res-Net and BiLSTM", Auto. Inform. Engin., vol. 42, pp. 22-26, 2021.
[18]
B. Liu, X.Y. Tang, W.F. Liu, and L.L. Wang, "Review on human core body temperature measurement method", Zhongguo Shengwu Yixue Gongcheng Xuebao, vol. 36, pp. 608-614, 2017.
[19]
J.J. Zhang, X. Chen, and Y. Zhao, "Dynamic sampling control strategy for wireless sensor nodes", J. Elect. Measure. Instrument., vol. 30, pp. 249-251, 2016.
[20]
Y.X. Li, Y. Liu, Y. Yuan, and W.J. Wang, "Multiple classifier based walking pattern recognizing algorithm using acceleration signals", Tien Tzu Hsueh Pao, vol. 37, pp. 1794-1798, 2009.
[21]
Z.J. Pan, J.L. Liu, Z. Luo, and H. Yang, "Design and implementation of low-power wireless sensor network node", Comput. Engin. Design, vol. 36, pp. 3226-3228, 2015.
[22]
J. Zhang, M. Liu, P. Xiong, H. Du, H. Zhang, F. Lin, Z. Hou, and X. Liu, "A multi-dimensional association information analysis approach to automated detection and localization of myocardial infarction", Eng. Appl. Artif. Intell., vol. 97, p. 104092, 2021.
[http://dx.doi.org/10.1016/j.engappai.2020.104092]
[23]
J.M. Ortiz, and C.V. Deutsch, "Indicator simulation accounting for multi-point statistics", Math. Geol., vol. 36, no. 5, pp. 545-565, 2004.
[http://dx.doi.org/10.1023/B:MATG.0000037736.00489.b5]

Rights & Permissions Print Cite
Article Metrics
23
3
© 2024 Bentham Science Publishers | Privacy Policy