Next Article in Journal
Ultra-Low-Power ICs for the Internet of Things
Next Article in Special Issue
A Power-Gated 8-Transistor Physically Unclonable Function Accelerates Evaluation Speeds
Previous Article in Journal
AMA: An Ageing Task Migration Aware for High-Performance Computing
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ultra-Low Power Programmable Bandwidth Capacitively-Coupled Chopper Instrumentation Amplifier Using 0.2 V Supply for Biomedical Applications

Faculty of Electronics Engineering, Hanoi University of Industry, Hanoi 10000, Vietnam
*
Author to whom correspondence should be addressed.
J. Low Power Electron. Appl. 2023, 13(2), 37; https://doi.org/10.3390/jlpea13020037
Submission received: 9 April 2023 / Revised: 15 May 2023 / Accepted: 19 May 2023 / Published: 24 May 2023
(This article belongs to the Special Issue Ultra-Low-Power ICs for the Internet of Things Vol. 2)

Abstract

:
This paper presents a capacitively coupled chopper instrumentation amplifier (CCIA) with ultra-low power consumption and programmable bandwidth for biomedical applications. To achieve a flexible bandwidth from 0.2 to 10 kHz without additional power consumption, a programmable Miller compensation technique was proposed and used in the CCIA. By using a Squeezed inverter amplifier (SQI) that employs a 0.2-V supply, the proposed CCIA addresses the primary noise source in the first stage, resulting in high noise power efficiency. The proposed CCIA is designed using a 0.18 µm CMOS technology process and has a chip area of 0.083 mm2. With a power consumption of 0.47 µW at 0.2 and 0.8 V supply, the proposed amplifier architecture achieves a thermal noise of 28 nV/√Hz, an input-related noise (IRN) of 0.9 µVrms, a closed-loop gain (AV) of 40 dB, a power supply rejection ratio (PSRR) of 87.6 dB, and a common-mode rejection ratio (CMRR) of 117.7 dB according to post-simulation data. The proposed CCIA achieves a noise efficiency factor (NEF) of 1.47 and a power efficiency factor (PEF) of 0.56, which allows comparison with the latest research results.

1. Introduction

Wireless sensor biomedicine (WSB) is becoming increasingly popular to monitor our daily activities for early detection of cardiovascular diseases [1,2,3]. Due to its use in wearable or implantable devices, low-power sensors are required to monitor human biopotential signal. In addition to developing standard applications to improve patients’ quality of life, long-term monitoring, mobile monitoring, sports and rehabilitation applications, and brain-computer interfaces will also be realized [4]. Typically, WSBs use a low-noise, low-power instrumentation amplifier (IA) to interface with many types of biomedical sensors. These biopotential signals include electrocardiograms (ECGs) and electroencephalograms (EEGs) from the heart and brain, respectively. Local field potentials (LFPs) and action potentials (APs) are biomarkers useful for both neuroscience research and treatment [5]. Biopotential signals, as shown in Figure 1, have a very low amplitude, ranging from 10 to 100 µV for EEG and about 1 mV for ECG. The biosignals range from 0.5 to 150 Hz [6]. LFP has a bandwidth of 1 to 200 Hz and a peak amplitude of about 1 mV, while APs have a peak amplitude of about 100 µV and occupy a frequency band of 200 Hz to 5 kHz [7]. Therefore, these neural signals must first be amplified before signal processing can be performed.
To improve the quality of neural signals, the readout system often includes an instrumentation amplifier (IA) implemented in CMOS technology. However, the IA has two important noise sources that must be taken into account, flicker noise (1/f) and thermal noise [8]. The chopper stabilization technique is commonly used on IA [9,10] to mitigate 1/f noise by up-modulating this noise at low frequencies beyond the spectrum of IA, while leaving thermal noise unresolved. For example, although the designs in [11,12] consume only 2 µW and 1.89 µW, thermal noise remains a concern with values of 100 and 240 nV/Hz, respectively. In addition, the CCIAs in [13,14] only have a bandwidth of about 500 Hz. Therefore, CCIAs should have a variable bandwidth to allow better bandwidth selection, while biopotential signals are often bandlimited. This work is an extension of the work originally presented at ICCE’22 [15].
This paper presents an ultra-low-power CCIA with programmable bandwidth for biomedical applications. To achieve high noise power efficiency, a squeezed inverter amplifier (SQI) operating with a 0.2-V supply is used in the CCIA. In addition, a programmable Miller compensation capacitor is used in the CCIA to obtain flexible bandwidth without additional power consumption. Simulated with a 0.18 µm CMOS technology process, the chip area of the proposed CCIA is only 0.083 mm2. While the power consumption of 0.47 µW is achieved at the supply voltage of 0.2 and 0.8-V, the proposed amplifier architecture achieves a thermal noise of 28 nV/√Hz, an input-related noise (IRN) of 0.9 µVrms over a bandwidth of 1 kHz, a closed-loop gain of 40 dB, a power supply rejection ratio (PSRR) of 87.6 dB, and a common-mode rejection ratio (CMRR) of 117.7 dB according to post-simulation data. The proposed CCIA compares well with the latest research results, with a noise efficiency factor (NEF) of 1.47 and a power efficiency factor (PEF) of 0.56.

2. Design

As we know, to reduce the thermal noise, there are two approaches: (1) The transistors of the amplifier are enlarger, resulting in an increase in chip area; (2) The DC current bias for the amplifier must be increased [8]. However, to achieve low power consumption, the supply voltage must be reduced to a minimum so that the transistor still works well. This is the biggest challenge in designing an amplifier. Therefore, the Squeeze inverter amplifier (SQI) with a supply voltage of 0.2 V is dropped in the proposed design. The multistage capacitively coupled chopper amplifier (CCIA) is shown schematically in Figure 2. Since the input stage (Gm1) causes most of the input noise, the low-power and low-noise SQI amplifier is implemented in the first stage to mitigate the noise. To achieve high transconductance, the CMOS transistors are operated at a comparatively high current of 800 nA in the subthreshold region. A low supply voltage VDD,L of 0.2-V is used to power the high-current input stage Gm1, which corresponds to two drain-source saturation voltages (VDSAT) of both the PMOS and NMOS transistors in the SQI to reduce power consumption to only about 320 nW. The combination of the output stage of an amplifier with a common source (CS) is used to achieve a large output swing with the middle stage using a folded—cascode amplifier (FC) to achieve high gain. Since the output common mode voltage of the first stage is only 0.1 V, the FC stage must be used with PMOS transistor input pairs. To handle the low-frequency flicker noise (1/f), the chopper CHI is connected before the input capacitor to modulate the input signal Vin to the chopper frequency fCH = 10 kHz, which is then modulated down to the baseband by the chopper CHO. The proposed multistage CCIA creates multiple poles, which reduce the stabilization of the circuit. To ensure stability while maintaining bandwidth, Miller compensation capacitors CC1,2 and resistors RZ1,2 are added to the last stage feedback loop.
As we know, the amplifier is stable when the phase at the loop gain crossover is higher than −180 degrees when the loop gain is 0 dB. By moving either the loop gain crossover or the phase crossover point, i.e., the point where the phase reaches −180 degrees, away from the origin, you can increase the stability. Thus, decreasing CC1,2 causes the loop gain crossover of CCIA to move away from the origin, increasing the bandwidth of CCIA. Moreover, the serial nulling resistors RZ1,2 are used to reduce the null in the right half plane (RHP) caused by the feedforward using the compensation capacitors. The multi-stage CCIA proposed in this work has a flexible bandwidth from 0.2 to 10 kHz thanks to the programmable Miller compensation capacitors CC1,2. In contrast, previous designs [16,17], which also use a multi-stage circuit in the main path, use fixed values of the Miller compensation components so that the bandwidth of these designs is 0.67 and 0.8 kHz, respectively. The midband gain of the CCIA is determined by the ratio of the input capacitances Cin1,2 and the feedback capacitances Cfb1,2. In this work, Cin1,2 = 4 pF, Cfb1,2 = 40 fF are realized by the metal-insulator-metal (MIM) capacitor technique to reduce the active chip area so that the midband gain of the CCIA reaches 40 dB.

3. Circuit Implementation

3.1. Squeezed-Inverter Amplifier

As shown in Figure 3, the first stage uses the scheme of SQI with a common mode feedback circuit (CMFB) sharing to increase the CMRR. By using an ultra-low voltage supply VDD,L = 0.2-V, the CMOS transistors in the SQI operate in the subthreshold region. The IRN of the first stage can be calculated as follows:
V n , in , Gm 1 2 ¯ = 8 k T g m , n + g m , p 4 k T n V T I B I A S
where gm,n and gm,p are the transconductance of the NMOS NM and PMOS PM transistors, respectively, the bias current IBIAS is 0.8 µA, thermal voltage VT = 26 mV, and the subthreshold factor [18] n = 1.5. The SQI stage operates with low noise by increasing the bias current. Moreover, due to using an ultra-low-voltage supply of 0.2 V, SQI archives high noise power efficiency.
The input stage Gm1 is the main source of noise in the design and requires a large bias current to limit the output noise with 1/f noise and thermal noise [15]. The chopping approach can be used to remove the flicker noise while the thermal noise is not compatible with the bias current. Therefore, an acceptable bias current of 0.8 µA was chosen to compensate for an extremely low supply voltage of 0.2 V to reduce noise floor while keeping power dissipation low. To operate at the 0.2 V supply voltage, the negative bias voltages of the input PM and NM transistors in SQI are regulated by a negative bias generator and a CMFB loop. A negative voltage VNEG generated by the negative bias generator (see Figure 3) is used to bias the PM input transistor via a pseudo-resistor RP1,2. The gate voltage of the transistor NM is controlled by a common CMFB loop [10] driven by a high voltage source VDD,H = 0.8-V to maintain the common output voltage of SQI at VDD,L/2. Capacitors CS1,2 are used for AC coupling. Since the subthreshold transistors operate without a tail current source, it is challenging to balance the bias current for the input pairs using the CM voltage. Therefore, a common CMFB circuit, as shown in Figure 4, is required for the SQI differential branches to solve this problem. By using a voltage of V1,CM = 0.1-V as a reference, a negative feedback loop is created to monitor and adjust the output common mode voltage of the SQI. The output of the CMFB, V1,CMFB, is used to control the gate voltage of the transistor NM in each SQI branch through a pair of pseudo-resistors RN1,2. This approach provides balanced bias currents for the SQI stage since any change in V1,CMFB affects the input pair by the same amount.

3.2. Bias Circuit for Squeezed-Inverter Amplifier

As we know, CMOS transistors must be biased in SQI, but the extremely low supply voltage VDD,L = 0.2-V makes this difficult. While PM transistors need a negative bias voltage lower than ground, the voltage drives the gate of the NM transistors using a CMFB through the high voltage supply VDD,H = 0.8-V. In the conventional negative voltage generator [16], a switched capacitor loop (SC) is used, in which a 1/10 scaled replica MPB of the PMOS input transistor is used to generate the negative voltage to regulate the bias current of the SQI. MPB and the FC work together to provide a negative feedback loop that continuously regulates VG during the time that the drain voltage is held at VDD,L/2. An SC network is also used by the feedback loop to hold VG below ground. A low-noise copy of VG is created using a low-pass filter replica (VNEG). To prevent switching spikes from affecting the desired signals, a frequency of 20 kHz is used by this SC. To turn off the switches completely, a negative level shifter is driven by VG or VNEG. However, after each switching period, the level shifter supplies its “ground” rail, increasing the voltage differences between VG and VNEG during startup. The negative feedback loop has VG fixed, so inaccurate replication of VNEG will result in an unexpected bias current. VNEG will be higher than VG, when the level shifter uses VNEG. As a result, the bias current of SQI will be reduced, which will increase the input noise. On the other hand, the bias current will be lower than predicted when this level shifter is driven by VG, which drastically increases the power consumption. Therefore, an auxiliary path is needed to generate a voltage VB, a replica of the voltage VG to supplement the negative voltage generator circuit. The proposed negative bias voltage generator is shown in Figure 5. The VB-fed negative voltage for the level shifter does not affect VG and VNEG. Therefore, the bias current of SQI is set to the appropriate value, and VNEG is an exact duplicate of VG. According to the simulation results shown in Figure 6, the expected level of VNEG is about −150 mV after VG or VNEG is used by the level shifter but is changed to about −100 mV or −210 mV accordingly after the start time. Since only VB is supplied by the dynamic current of the level shifter, VG and VNEG are controlled by an equal voltage of −150 mV when VB is injected. The improved negative bias generator in the SQI circuit achieves a bias current of 1.56 µA or an almost theoretical value of 1.6 µA.
Monte Carlo simulation results of the negative voltage VNEG and bias current of SQI (one branch) are shown in Figure 7, where both random process variations and mismatches were considered. The results of the Monte Carlo simulation with 200 samples show that the average value of VNEG is −147.6 mV and the bias current of SQI is 785.6 nA with a standard deviation of 14.9 mV and 15.2 nA, respectively. The effect of temperature and variable VDD,L on the open-loop gain of SQI is shown in Figure 8. The temperature and variable VDD,L are examined from −15 to 70 degrees Celsius and 0.1 to 0.3-V, respectively. At a temperature of 27 degrees Celsius and a VDD,L of 0.2-V, the open-loop gain of the SQI reaches about 30 dB.

3.3. Middle and Output Stage

To obtain high gain and output swing, the middle and last stage of CCIA employs the FC and the CS amplifiers, respectively. The schematic of FC is shown in Figure 9, while the schematic of CS with the phase margin compensation circuit is shown in Figure 10. Using a supply voltage VDD,H of 0.8-V, the FC is biased a DC current of 40 nA while CS draws a DC current of 80 nA. Although the current consumption is much lower than SQI’s current drawing, the effect that the noise of the Gm2 and Gm3 have on the input is very small because it is divided into the gain of Gm1 (normally 30 dB). The FC input pair must use PMOS transistors interfacing to SQI’s low output voltage of around 0.1-V. The Gm3 that employs CS with a passive CMFB circuit built by the pseudo resistors in parallel with MIM capacitors is also shown in Figure 10a. The network compensation capacitor CC1,2 is shown in Figure 10b. CC1,2 is built from three parallel capacitors (0.62 pF, 5.58 pF, and 23.8 pF); therefore, the value of CC1,2 can be changed from 0.62 pF to 30 pF by the controlling switches SW1,2,3.
The IRN of the proposed CCIA,  V n , in 2 ¯  can be calculated as
V n , in 2 ¯ = C tot C in 1 , 2 2 V n , in , Gm 1 2 ¯ + V n , in , Gm 2 2 ¯ A V 1 = C tot C in 1 , 2 2 4 k T n V th I BIAS + 8 k T n A V 1 g m 1 , 2 1 + g m 3 , 4 + g m 9 , 10 g m 1 , 2
where Ctot = Cin1,2 + Cfb1,2 + Cp, Cp is the parasitic capacitance of the first stage,  V n , in , Gm 1 2 ¯  and  V n , in , Gm 2 2 ¯  are the IRN of Gm1 and Gm2, respectively.

4. Simulation Results

In the 0.18 µm CMOS technology, Figure 11 shows the microphotography of the layout and the power decay of the CCIA. The chip area of the CCIA layout occupies only 0.083 mm2. With a VDD,L of 0.2-V and a VDD,H of 0.8-V, the simulated total power dissipation of the CCIA is 470 nW. Gm1, Gm2, and Gm3 consume 74.1%, 12.3%, and 13.6% of the power, respectively.
The amplitude–frequency response and Monte Carlo simulation of the midband gain of the proposed CCIA are shown in Figure 12. The closed-loop gain reaches 40 dB while passing 200 samples, the Monte Carlo simulation results of the midband gain show that the closed-loop mean value of the CCIA gain is 39.4 dB with a standard deviation of 24.8 mdB. Since the capacitance value of CC1,2 is programmable, the bandwidth of the CCIA can be successfully adjusted from 0.2 to 10 kHz. This design is suitable for recording biomedical signals with variable frequency bands. The Monte Carlo simulation results of the power supply rejection ratio (PSRR) and common mode rejection ratio (CMRR) are shown in Figure 13 after a run of 200 samples. Figure 13 shows the average value of PSRR of 87.6 dB at a supply voltage of 0.2-V and CMRR of 117.7 dB with standard deviations of 24.4 and 32.3 dB, respectively.
Figure 14 shows the input noise of the proposed CCIA. At a bandwidth of 1 kHz, the IRN of the CCIA is 0.9 µVrms with a thermal noise of 28 nV/√Hz and a 1/f corner of 4 Hz. To investigate the effect of process corners on noise, Monte Carlo simulations were performed with random mismatches of the devices with 200 samples. Figure 15a shows how the IRN of the proposed amplifier changes from 0.894 to 0.963 µVrms over several process corners, while Figure 15b shows the average IRN, which is 0.916 µVrms, with a standard deviation of 62.2 nVrms. The performances of the proposed CCIA operating in different bandwidth modes are summarized in Table 1. The IRN of the proposed CCIA over the bandwidths of 0.2/1/10 kHz is 0.4/0.9/2.8 µVrms. NEF and PEF show practically comparable values of 1.49 and 0.56, respectively, when the bandwidth changes as the IRN scales with the integrated bandwidths.
N EF = V ni , rms × I DC π V T 4 k T × B W ;   P EF = V ni ,   rms 2 2 P DC π V T 4 k T × B W = NEF 2 × V DD
where IDC is the total current consumption, VT is the thermal voltage, k is the Boltzmann constant, BW is the bandwidth of the proposed CCIA over which the noise is integrated, and VDD is the voltage supply.
Table 2 contains several references with simulation results, including [6,19,20,21] for a fair comparison. The key design specifications such as power consumption, bandwidth, thermal noise, CMRR, PSRR, NEF, and PEF are summarized in this table to compare the achieved performance of the proposed design with the state-of-the-art designs. By choosing different bandwidths, the proposed CCIA achieves a competitive PEF of about 0.56 with a low input noise of 28 nV/√Hz and a noise corner of up to 4 Hz with a power consumption of 0.47 µW.

5. Conclusions

This paper describes the design and simulation of an ultra-low-power, programmable bandwidth, capacitively coupled instrumentation amplifier operating on a 0.2 V supply for biomedical applications. By implementing it in a standard 0.18 µm CMOS technology, the chip area of the CCIA occupies only 0.083 mm2. By using programmable Miler compensation capacitors, the bandwidth of the CCIA can be changed from 200 Hz to 10 kHz. Thanks to the SQI in the first stage and the chopping technique, the CCIA can achieve high power efficiency and low noise. With a power consumption of only 470 nW at VDD,L of 0.2-V and VDD,H of 0.8-V, the prototype ultra-low-power amplifier IC achieves a closed-loop gain of 40 dB, a CMRR of 117.7 dB and a PSRR of 87.6 dB. The CCIA thermal noise is 28 nV/√Hz, resulting in an IRN of 0.9 µVrms over a bandwidth of 1 kHz. Therefore, NEF of 1.49 and PEF of 0.56 are achieved. This shows that the performance of the proposed CCIA can be compared with the latest studies.

Author Contributions

Conceptualization, X.T.P., X.T.K. and M.K.H.; methodology, X.T.P., X.T.K. and M.K.H.; software, X.T.P.; formal analysis, X.T.K. and M.K.H.; writing—original draft preparation, X.T.P.; writing—review and editing, X.T.K. and M.K.H.; visualization, X.T.P. and M.K.H.; supervision, X.T.K.; project administration, X.T.P.; funding acquisition, X.T.P., X.T.K. and M.K.H. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by Hanoi University of Industry Research Fund under grant number 19-2022-RD/HD-DHCN.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wang, S.; Koickal, T.J.; Hamilton, A.; Mastropaolo, E.; Cheung, R.; Abel, A.; Smith, L.S.; Wang, L. A Power-Efficient Capacitive Read-Out Circuit with Parasitic-Cancellation for MEMS Cochlea Sensors. IEEE Trans. Biomed. Circuits Syst. 2016, 10, 25–37. [Google Scholar] [CrossRef] [PubMed]
  2. Casson, A.J.; Yates, D.C.; Smith, S.J.M.; Duncan, J.S.; Rodriguez-Villegas, E. Wearable Electroencephalography. IEEE Eng. Med. Biol. Mag. 2010, 29, 44–56. [Google Scholar] [CrossRef] [PubMed]
  3. Lin, C.T.; Ko, L.W.; Chang, M.H.; Duann, J.R.; Chen, J.Y.; Su, T.P.; Jung, T.P. Review of wireless and wearable electroencephalogram systems and brain-computer interfaces—A mini-review. Gerontology 2010, 56, 112–119. [Google Scholar] [CrossRef] [PubMed]
  4. Fiedler, P.; Mühle, R.; Griebel, S.; Pedrosa, P.; Fonseca, C.; Vaz, F.; Zanow, F.; Haueisen, J. Contact Pressure and Flexibility of Multipin Dry EEG Electrodes. IEEE Trans. Neural Syst. Rehabil. Eng. 2018, 26, 750–757. [Google Scholar] [CrossRef] [PubMed]
  5. Chandrakumar, H.; Marković, D. A high dynamic-range neural recording chopper amplifier for simultaneous neural recording and stimulation. IEEE J. Solid-State Circuits 2017, 52, 2811–2828. [Google Scholar] [CrossRef]
  6. Pham, X.T.; Vu, T.K.; Nguyen, T.D.; Pham, N.L. A 1.2-µW 41-dB Ripple Attenuation Chopper Amplifier Using Auto-Zero Offset Cancelation Loop for Area-Efficient Biopotential Sensing. Electronics 2022, 11, 1149. [Google Scholar] [CrossRef]
  7. Muller, R.; Gambini, S.; Rabaey, J.M. A 0.013 mm2, 5 μW, DC-Coupled Neural Signal Acquisition IC with 0.5 V Supply. IEEE J. Solid-State Circuits 2012, 47, 232–243. [Google Scholar] [CrossRef]
  8. Razavi, B. Design of Analog CMOS Integrated Circuits, International ed.; Mc Graw Hill: New York, NY, USA, 2003. [Google Scholar]
  9. Ha, H.; Hoof, C.V.; Helleputte, N.V. Measurement and Analysis of Input-Signal Dependent Flicker Noise Modulation in Chopper Stabilized Instrumentation Amplifier. IEEE Solid-State Circuits Lett. 2018, 4, 90–93. [Google Scholar] [CrossRef]
  10. Pham, X.T.; Nguyen, N.T.; Nguyen, V.T.; Lee, J.-W. A 0.6-µW chopper amplifier using a noise-efficient DC servo loop and squeezed-inverter stage for power-efficient biopotential sensing. Sensors 2020, 20, 2059. [Google Scholar] [CrossRef] [PubMed]
  11. Chandrakumar, H.; Marković, D. An 80-mVpp Linear-Input Range, 1.6-GΩ Input Impedance, Low-Power Chopper Amplifier for Closed-Loop Neural Recording That Is Tolerant to 650-mVpp Common-Mode Interference. IEEE J. Solid-State Circuits 2017, 52, 2811–2828. [Google Scholar] [CrossRef]
  12. Xu, J.; Lin, Q.; Ding, M.; Li, Y.; Van Hoof, C.; Serdijn, W.; Van Helleputte, N. A 0.6 V 3.8 μW ECG/bio-impedance monitoring IC for disposable health patch in 40 nm CMOS. In Proceedings of the 2018 IEEE Custom Integrated Circuits Conference (CICC), San Diego, CA, USA, 8–11 April 2018. [Google Scholar]
  13. Muller, R.; Le, H.P.; Li, W.; Ledochowitsch, P.; Gambini, S.; Bjorninen, T.; Koralek, A.; Carmena, J.M.; Maharbiz, M.M.; Alon, E.; et al. A Minimally Invasive 64-Channel Wireless μECoG Implant. IEEE J. Solid-State Circuits 2015, 50, 344–359. [Google Scholar] [CrossRef]
  14. Park, J.H.; Tang, T.; Zhang, L.; Ng, K.A.; Gammad, G.G.L.; Yen, S.C.; Yoo, J. A 15-Channel Orthogonal Code Chopping Instrumentation Amplifier for Area-Efficient, Low-Mismatch Bio-Signal Acquisition. IEEE J. Solid-State Circuits 2020, 55, 2771–2780. [Google Scholar] [CrossRef]
  15. Nguyen, T.V.; Han, H.-D.; Pham, N.L.; Pham, X.T.; Hoang, M.K. A 0.47-μW Multi-stage Low Noise Amplifier Employing 0.2-V-supply OTA. In Proceedings of the 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), Nha Trang, Vietnam, 27–29 July 2022. [Google Scholar]
  16. Yaul, F.M.; Chandrakasan, A.P. A noise-efficient 36 nV/√Hz chopper amplifier using an inverter-based 0.2-V supply input stage. IEEE J. Solid-State Circuits 2017, 52, 3032–3042. [Google Scholar] [CrossRef]
  17. Pham, X.T.; Nguyen, V.-N.; Kim, J.-S.; Lee, J.-W. A 0.52 μW, 38 nV/√Hz chopper amplifier with a low-noise DC servo loop, an embedded ripple reduction loop, and a squeezed inverter stage. IEEE Trans Circuits Syst. II Express Briefs 2021, 68, 1793–1797. [Google Scholar] [CrossRef]
  18. Huang, G.; Yin, T.; Wu, Q.; Zhu, Y.; Yang, H. A 1.3 μW 0.7 μVRMS chopper current-reuse instrumentation amplifier for EEG applications. In Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 24–27 May 2015. [Google Scholar]
  19. Liu, Y.; Zhou, Z.; Zhou, Y.; Li, W.; Wang, Z. A Low-Noise Chopper Amplifier with Offset and Low-Frequency Noise Compensation DC Servo Loop. Electronics 2020, 9, 1797. [Google Scholar] [CrossRef]
  20. Omidvar, A.; Shaterian, M. A low-power digitally programmable neural recording amplifier with selectable multiunit activity (MUA) and local field potential (LFP) recording modes. Microelectron. J. 2020, 95, 104654. [Google Scholar] [CrossRef]
  21. Nasseriana, M.; Peiravia, A.; Moradi, F. A fully-integrated 16-channel EEG readout front-end for neural recording applications. AEU—Int. J. Electron. Commun. 2018, 94, 109–121. [Google Scholar]
  22. Fang, L.; Gui, P. A Low-Noise Low-Power Chopper Instrumentation Amplifier with Robust Technique for Mitigating Chopping Ripples. IEEE J. Solid-State Circuits 2022, 57, 1800–1811. [Google Scholar] [CrossRef]
  23. Del Cesta, S.; Ria, A.; Piotto, M.; Simmarano, R.; Bruschi, P. A compact current-mode instrumentation amplifier for general-purpose sensor interfaces. AEU—Int. J. Electron. Commun. 2018, 92, 8–14. [Google Scholar]
Figure 1. Amplitude and frequency ranges of the characteristics of neural signals.
Figure 1. Amplitude and frequency ranges of the characteristics of neural signals.
Jlpea 13 00037 g001
Figure 2. Schematic of the proposed CCIA with Cin1,2 = 4 pF, Cfb1,2 = 40 fF, RZ1,2 = 0.9 MΩ, CC1,2 = 0.62/6.2/30 pF.
Figure 2. Schematic of the proposed CCIA with Cin1,2 = 4 pF, Cfb1,2 = 40 fF, RZ1,2 = 0.9 MΩ, CC1,2 = 0.62/6.2/30 pF.
Jlpea 13 00037 g002
Figure 3. Schematic of SQI CS1 = 1 pF, CS2 = 4 pF.
Figure 3. Schematic of SQI CS1 = 1 pF, CS2 = 4 pF.
Jlpea 13 00037 g003
Figure 4. Schematic of CMFB circuit of the SQI.
Figure 4. Schematic of CMFB circuit of the SQI.
Jlpea 13 00037 g004
Figure 5. Schematic of negative voltage bias generator circuit.
Figure 5. Schematic of negative voltage bias generator circuit.
Jlpea 13 00037 g005
Figure 6. Simulated results of the negative voltage generator when the level shifter is powered by (a) VNEG, (b) VG, (c) VB.
Figure 6. Simulated results of the negative voltage generator when the level shifter is powered by (a) VNEG, (b) VG, (c) VB.
Jlpea 13 00037 g006
Figure 7. The result of Monte Carlo simulation of (a) negative voltage VNEG (b) the bias current of SQI.
Figure 7. The result of Monte Carlo simulation of (a) negative voltage VNEG (b) the bias current of SQI.
Jlpea 13 00037 g007
Figure 8. Simulated gain of the SQI stage depending on VDD,L and temperature.
Figure 8. Simulated gain of the SQI stage depending on VDD,L and temperature.
Jlpea 13 00037 g008
Figure 9. The schematic of the FC amp circuit.
Figure 9. The schematic of the FC amp circuit.
Jlpea 13 00037 g009
Figure 10. (a) The schematic of CS amp circuit, (b) the schematic of phase margin compensation circuit.
Figure 10. (a) The schematic of CS amp circuit, (b) the schematic of phase margin compensation circuit.
Jlpea 13 00037 g010
Figure 11. (a) Microphotograph and (b) the power breakdown of the fabricated CCIA.
Figure 11. (a) Microphotograph and (b) the power breakdown of the fabricated CCIA.
Jlpea 13 00037 g011
Figure 12. (a) The CCIA’s variable bandwidth of the transfer function, (b) CCIA’s the Monte Carlo Simulation of the middle-band gain.
Figure 12. (a) The CCIA’s variable bandwidth of the transfer function, (b) CCIA’s the Monte Carlo Simulation of the middle-band gain.
Jlpea 13 00037 g012
Figure 13. The Monte Carlo simulation result of (a) the CCIA’s PSRR, (b) the CCIA’s CMRR.
Figure 13. The Monte Carlo simulation result of (a) the CCIA’s PSRR, (b) the CCIA’s CMRR.
Jlpea 13 00037 g013
Figure 14. The simulation result of the CCIA’s input-referred noise.
Figure 14. The simulation result of the CCIA’s input-referred noise.
Jlpea 13 00037 g014
Figure 15. The simulation result of (a) the CCIA’s IRN depending on the process corners and (b) the CCIA’s input-referred noise.
Figure 15. The simulation result of (a) the CCIA’s IRN depending on the process corners and (b) the CCIA’s input-referred noise.
Jlpea 13 00037 g015
Table 1. Performance analysis with varying bandwidth.
Table 1. Performance analysis with varying bandwidth.
Miller Compensate Capacitors CC1,2 (pF)306.20.62
Bandwidth—BW (kHz) 0.2110
Thermal noise (nV/√H z) 282828
Input-referred noise—Vni,rmsVrms)0.40.92.8
Noise Efficiency Factor ( N EF )1.491.491.47
Power Efficiency Factor ( P EF )0.560.560.55
Table 2. Performance comparison of the proposed CCIA.
Table 2. Performance comparison of the proposed CCIA.
Ref.[6] [16][17] [19][20] [21] [22][23]This Work
Year202220172021202020202018202220182023
Supply (V)10.2/0.80.2/0.81.81.210.5/1.81.5/3.30.2/0.8
Power (µW)1.210.790.523.961.90.964.53300.47
Gain (dB)4057.839.631.758.462601/12/20/4040
Bandwidth (kHz)0.80.670.898.70.2330012500.2/1/10
Flexible BandwidthNNNNYNNNY
Thermal noise (nV/√Hz)121363249.5N/AN/A136028
CMRR (dB)1088510485110888490117.7
PSRR (dB)87808287871018810087.6
N EF 5.42.11.72.081.473.341.3291.49
P EF 29.71.60.77.782.599.061.1N/A0.56
Tech. (nm)180180180180130180180180180
Sim./Meas.Sim.Meas.Meas.Sim.Sim.Sim.Meas.Meas.Sim.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pham, X.T.; Kieu, X.T.; Hoang, M.K. Ultra-Low Power Programmable Bandwidth Capacitively-Coupled Chopper Instrumentation Amplifier Using 0.2 V Supply for Biomedical Applications. J. Low Power Electron. Appl. 2023, 13, 37. https://doi.org/10.3390/jlpea13020037

AMA Style

Pham XT, Kieu XT, Hoang MK. Ultra-Low Power Programmable Bandwidth Capacitively-Coupled Chopper Instrumentation Amplifier Using 0.2 V Supply for Biomedical Applications. Journal of Low Power Electronics and Applications. 2023; 13(2):37. https://doi.org/10.3390/jlpea13020037

Chicago/Turabian Style

Pham, Xuan Thanh, Xuan Thuc Kieu, and Manh Kha Hoang. 2023. "Ultra-Low Power Programmable Bandwidth Capacitively-Coupled Chopper Instrumentation Amplifier Using 0.2 V Supply for Biomedical Applications" Journal of Low Power Electronics and Applications 13, no. 2: 37. https://doi.org/10.3390/jlpea13020037

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop