Araştırma Makalesi

Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications

Cilt: 24 Sayı: 72 19 Eylül 2022
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Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications

Öz

Some biomedical signal processing applications require specific data logging hardware. Knee related non-invasive diagnosing and jaw related electroencephalography (EEG) artifact cleaning applications would be good candidates requiring simultaneous multi-channel vibration data logging. In this study, a novel multi-point multi-dimensional accelerometer data logging system was proposed. This system collects three-dimensional tilting and vibration data from three different points simultaneously by using accelerometers. Multi-channel signal analyzing requires simultaneous data recordings for filtering and separating the sensor data into components. The selected accelerometer provides the requirement of simultaneous three axes data recordings. The accelerometer data logging system can be used to obtain tilting and vibration data from knee for diagnosing support and from jaw for EEG jaw artifact cleaning support. Three accelerometers can be placed on kneecap and lateral positions to detect vibrations of knee movements (vibroarthrographic (VAG) signals). The obtained VAG signals can be evaluated by statistical or time-frequency analysis techniques. Also, three accelerometers are placed on face to record jaw and neck movements. Simultaneously recorded EEG and jaw data can be further analyzed by filtering or statistical methods to extract undesired neck and jaw artifacts.

Anahtar Kelimeler

Teşekkür

The authors thank Prof. Dr. Hasan Havıtçıoğlu on his discussion for the use of the designed system in knee application. The authors thank to the members of Dokuz Eylul University Biophysics Labs for their support for the jaw application. 2006.KB.SAG.017, 2008.KB.SAG.019 and TUBITAK 108S113 projects have been partially utilized.

Kaynakça

  1. [1] Nokes L.D. 1999. The use of low-frequency vibration measurement in orthopaedics, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 213(3), pp. 271–290. DOI: 10.1243/0954411991534979
  2. [2] Foster, R., Lanningham-Foster, L., & Levine, J. 2008. Optimization of accelerometers for measuring walking, Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 222(1), pp. 53–60. DOI: 10.1243/17543371JSET3
  3. [3] Tavathia, S., Rangayyan, R.M., Frank, C.B., Bell, G.D., Ladly, K.O., & Zhang, Y.T. 1992. Analysis of knee vibration signals using linear prediction, IEEE transactions on bio-medical engineering, 39(9), pp.959–970. DOI: 10.1109/10.256430
  4. [4] Zhang, Y.T., Rolston, W. A., Rangayyan, R.M., Frank, C.B. and Bell, G.D. 1992. Wavelet Transform Analysis of Vibroarthrographic (VAG) signals obtained during dynamic knee movement, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, pp. 235-238.
  5. [5] Shen, Y., Rangayyan, R. M., Bell, G. D., Frank, C. B., Zhang, Y. T., & Ladly, K. O. 1995. Localization of knee joint cartilage pathology by multichannel vibroarthrography, Medical Engineering & Physics, 17(8), pp. 583–594. DOI: 10.1016/1350-4533(95)00013-d
  6. [6] Krishnan S. and Rangayyan, R. M. 1999. Denoising knee joint vibration signals using adaptive time-frequency representations, Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), pp. 1495-1500 vol.3, DOI: 10.1109/CCECE.1999.804930
  7. [7] Krishnan, S., & Rangayyan, R.M. 2000. Automatic de-noising of knee-joint vibration signals using adaptive time-frequency representations, Medical & biological engineering & computing, 38(1), pp. 2–8. DOI: 10.1007/BF02344681
  8. [8] Krishnan, S., Rangayyan, R.M., Bell G.D. and Frank, C.B. 2000. Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology, IEEE Transactions on Biomedical Engineering, vol. 47, no. 6, pp. 773-783, DOI: 10.1109/10.844228

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

19 Eylül 2022

Gönderilme Tarihi

14 Haziran 2022

Kabul Tarihi

5 Temmuz 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 24 Sayı: 72

Kaynak Göster

APA
Akkan, T., Şenol, Y., & Özgören, M. (2022). Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 24(72), 787-797. https://doi.org/10.21205/deufmd.2022247209
AMA
1.Akkan T, Şenol Y, Özgören M. Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications. DEUFMD. 2022;24(72):787-797. doi:10.21205/deufmd.2022247209
Chicago
Akkan, Taner, Yavuz Şenol, ve Murat Özgören. 2022. “Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24 (72): 787-97. https://doi.org/10.21205/deufmd.2022247209.
EndNote
Akkan T, Şenol Y, Özgören M (01 Eylül 2022) Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24 72 787–797.
IEEE
[1]T. Akkan, Y. Şenol, ve M. Özgören, “Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications”, DEUFMD, c. 24, sy 72, ss. 787–797, Eyl. 2022, doi: 10.21205/deufmd.2022247209.
ISNAD
Akkan, Taner - Şenol, Yavuz - Özgören, Murat. “Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24/72 (01 Eylül 2022): 787-797. https://doi.org/10.21205/deufmd.2022247209.
JAMA
1.Akkan T, Şenol Y, Özgören M. Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications. DEUFMD. 2022;24:787–797.
MLA
Akkan, Taner, vd. “Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, c. 24, sy 72, Eylül 2022, ss. 787-9, doi:10.21205/deufmd.2022247209.
Vancouver
1.Taner Akkan, Yavuz Şenol, Murat Özgören. Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications. DEUFMD. 01 Eylül 2022;24(72):787-9. doi:10.21205/deufmd.2022247209

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