Approach to weak signal detection via over-sampling and bidirectional saw-tooth shaped function in wearable devices
- 143 Downloads
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.
KeywordsWeak signal detection Bidirectional saw-tooth shaped function Over-sampling Nonlinearity of the starting point
This work has been supported by National Natural Science Foundation of China under grant project No.61370179.
- 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.pdfGoogle 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 TechnologyGoogle Scholar
- 6.Li G, Zhang L (2008) Weak Signal Detection Based on Over-Sampling and Saw-Tooth Shaped Function. Acta Electron Sin 36(4):756–759Google 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 5:62–64Google Scholar
- 9.Xu W, Wang J, Chen T (2007) Application of oversampling technique in the design of FOG data collection. Control & Measurement 3:75–76Google Scholar