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An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS

Xiang Li1, 2, Xu Zhang1, Peng Li1, , Xiaohui Hu1 and Hongda Chen1

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 Corresponding author: Corresponding author. Email: lipeng@semi.ac.cn

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Abstract: A low power wavelet denoising chip for photoplethysmography (PPG) detection and portable heart rate monitoring is presented. To eliminate noise and improve detection accuracy, Harr wavelet (HWT) is chosen as the processing tool. An optimized finite impulse response structure is proposed to lower the computational complexity of proposed algorithm, which is benefit for reducing the power consumption of proposed chip. The modulus maxima pair location module is design to accurately locate the PPG peaks. A clock control unit is designed to further reduce the power consumption of the proposed chip. Fabricated with the 0.18 μm N-well CMOS 1P6M technology, the power consumption of proposed chip is only 8.12 μ W in 1 V voltage supply. Validated with PPG signals in multiparameter intelligent monitoring in intensive care databases and signals acquired by the wrist photoelectric volume detection front end, the proposed chip can accurately detect PPG signals. The average sensitivity and positive prediction are 99.91% and 100%, respectively.

Key words: low powerwavelet denosingPPG detectionportable heart rate monitoring



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Fig. 1.  Frequency response of the Harr wavelet at different scales. $f_{\mathrm{s}}$ is the sampling frequency.

Fig. 2.  (a) Ideal PPG signals. (b) Harr wavelet coefficients of PPG signals in (a). (c) PPG signals with interference, including the baseline drift and power frequency noise. (d) Harr wavelet coefficients of PPG signals in (c).

Fig. 3.  The chip structure.

Fig. 4.  The standard UART data transmission format.

Fig. 5.  The time sequence of the clock control unit.

Fig. 6.  The optimized FIR structure.

Fig. 7.  Decision state machine (DSM). THN and THP are the threshold of the positive and negative peak, respectively.

Fig. 8.  Microphotograph of the proposed chip

Fig. 9.  (a) Detection results of Ideal PPG signals in MIMIC databases. (b) Detection results of PPG signals with interference, including the baseline drift and power frequency noise.

Table 1.   Measured characteristics and comparisons.

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Table 2.   Test results with measured PPG signals.

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    Received: 29 December 2015 Revised: Online: Published: 01 May 2016

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      Xiang Li, Xu Zhang, Peng Li, Xiaohui Hu, Hongda Chen. An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS[J]. Journal of Semiconductors, 2016, 37(5): 055006. doi: 10.1088/1674-4926/37/5/055006 X Li, X Zhang, P Li, X H Hu, H D Chen. An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS[J]. J. Semicond., 2016, 37(5): 055006. doi: 10.1088/1674-4926/37/5/055006.Export: BibTex EndNote
      Citation:
      Xiang Li, Xu Zhang, Peng Li, Xiaohui Hu, Hongda Chen. An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS[J]. Journal of Semiconductors, 2016, 37(5): 055006. doi: 10.1088/1674-4926/37/5/055006

      X Li, X Zhang, P Li, X H Hu, H D Chen. An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS[J]. J. Semicond., 2016, 37(5): 055006. doi: 10.1088/1674-4926/37/5/055006.
      Export: BibTex EndNote

      An 8.12 μ W wavelet denoising chip for PPG detection and portable heart ratemonitoring in 0.18 μm CMOS

      doi: 10.1088/1674-4926/37/5/055006
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      • Corresponding author: Corresponding author. Email: lipeng@semi.ac.cn
      • Received Date: 2015-12-29
      • Accepted Date: 2016-04-06
      • Published Date: 2016-01-25

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