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.
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References
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
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
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
Cheng X (2013) Design and implementation of continuous glucose monitoring system based on wireless. Dissertation, Huazhong University of Science and Technology
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
Li G, Zhang L (2008) Weak Signal Detection Based on Over-Sampling and Saw-Tooth Shaped Function. Acta Electron Sin 36(4):756–759
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
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
Xu W, Wang J, Chen T (2007) Application of oversampling technique in the design of FOG data collection. Control & Measurement 3:75–76
Zhang Y, Chen M et al (2017) SOVCAN: Safety-Oriented Vehicular Controller Area Network. IEEE Communications 55(8):94–99
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
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
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This work has been supported by National Natural Science Foundation of China under grant project No.61370179.
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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
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DOI: https://doi.org/10.1007/s11042-017-5362-x