Skip to main content
Log in

Approach to weak signal detection via over-sampling and bidirectional saw-tooth shaped function in wearable devices

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Many biological signals that reflect the human health are relatively weak, and high-resolution Analog-Digital Converters (ADCs) are required to measure them. The over-sampling technology is a method for increasing the accuracy, equal to the accuracy of high resolution ADCs, when an ADC has low resolution. For high resolution ADCs, their accuracy from the over-sampling technology would break its maximum limitation. During our signal collection, there are two items which affect our results: 1. measurement error; 2. non-linear characteristics at the end points. In over-sampling method of detecting weak signal of wearable devices by using the unidirectional saw-tooth shaped function, the magnitude of the shaped function is as close as possible to the integer multiple of the quantization step size to reduce the additional measurement error. To reduce the difficulty of the adding shaped function, which features nonlinearity of the starting point, a new method of detecting the weak signal by adding the bidirectional saw-tooth shaped function is proposed. The experimental results show this method is feasible for improving the ADC resolution.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Analog Devices Inc (2017) Low Power, 2-Channel 24-Bit Sigma-Delta ADC. Data Sheets. http://www.analog.com/media/en/technical-documentation/data-sheets/AD7787.pdf

  2. Chen M, Ma YJ, Li Y, Wu D, Zhang Y, Youn CH (2017) Wearable 2.0: Enable Human-Cloud Integration in Next Generation Healthcare System. IEEE Communications 55(1):54–61

    Article  Google Scholar 

  3. Chen M, Shi X, Zhang Y, Wu D, Guizani M (2017) Deep Features Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network. IEEE Transactions on Big Data. https://doi.org/10.1109/TBDATA.2017.2717439

  4. Cheng X (2013) Design and implementation of continuous glucose monitoring system based on wireless. Dissertation, Huazhong University of Science and Technology

  5. Kim JM, Kwon KH (2007) Recovery of finite missing samples in two-channel oversampling. Sampling Theory in Signal and Image Processing 6(2):185–198

    MathSciNet  MATH  Google Scholar 

  6. Li G, Zhang L (2008) Weak Signal Detection Based on Over-Sampling and Saw-Tooth Shaped Function. Acta Electron Sin 36(4):756–759

    Google Scholar 

  7. Li H, Zhao F (2015) High Resolution and Wide Dynamic Range Infrasound Signal Acquisition System Based on Oversampling Techniques. Intstrument Technique and Sensor 5:62–64

    Google Scholar 

  8. Li G, Liu J, Li X et al (2014) A Multiple Biomedical Signals Synchronous Acquisition Circuit Based on Over-Sampling and Shaped Signal for the Application of the Ubiquitous Health Care. Circuits Systems and Signal Processing 33(10):3003–3017

    Article  Google Scholar 

  9. Xu W, Wang J, Chen T (2007) Application of oversampling technique in the design of FOG data collection. Control & Measurement 3:75–76

    Google Scholar 

  10. Zhang Y, Chen M et al (2017) SOVCAN: Safety-Oriented Vehicular Controller Area Network. IEEE Communications 55(8):94–99

    Article  Google Scholar 

  11. Zhang Y, Chen M, Huang DJ, Wu D, Li Y (2017) iDoctor: Personalized and Professionalized Medical Recommendations Based on Hybrid Matrix Factorization. Futur Gener Comput Syst 66:30–35

    Article  Google Scholar 

  12. Zhang Y, Qiu MK, Tsai CW, Hassan MM, Alamri A (2017) Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data. IEEE Syst J 11(1):88–95

    Article  Google Scholar 

Download references

Acknowledgements

This work has been supported by National Natural Science Foundation of China under grant project No.61370179.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, E., Cheng, N., Liu, H. et al. Approach to weak signal detection via over-sampling and bidirectional saw-tooth shaped function in wearable devices. Multimed Tools Appl 77, 21923–21933 (2018). https://doi.org/10.1007/s11042-017-5362-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-5362-x

Keywords

Navigation