A 255nW ultra-high input impedance analog front-end for non-contact ECG monitoring

Lee, Jinseok; Kim, Hyojun; Cho, SeongHwan

doi:10.1109/cicc.2017.7993707

Cited by 9 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The -based AFE designs feature high area efficiency, high tolerance of large EDO, and low noise. Comparison with state-of-the-art AFE designs (see [12], [21], [29]- [45]) of the input-referred rms noise versus the supply current of the amplifier.…”

Section: Resultsmentioning

confidence: 99%

A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition

Luo

Zhang

Wang

2019

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C integrator is proposed to reject the electrode-dcoffset (EDO). Architecture of a complementary input very lowtransconductance (VLT) operational transconductance amplifier (OTA) was proposed and integrated in the active Gm-C integrator to improve the linearity as well as to reduce the noise, featuring a transconductance ranging from 45 pS to a few nS. The proposed amplifier was fabricated in a TSMC 0.18-µm CMOS process, occupying an area of 0.2 mm 2 , featuring a power consumption of 3.24 µW/channel under a 1.8-V supply voltage. The THD for a 5-mV pp input is lower than −61 dB. An input-referred thermal noise power spectral density (PSD) of 39 nV/ √ Hz is measured. The measured input-referred noise is 0.65 µV rms in the 0.3-200-Hz frequency band and 2.14 µV rms in the 200-Hz-5-kHz frequency band, respectively, leading to a noise-efficiency factor of 2.37 (0.3-200 Hz) and 1.56 (0.2 k-5 kHz). In addition, the high-pass corner frequency can be precisely configured and linearly adjusted with the external bias current from 0.35 to 54.5 Hz.

show abstract

Section: Resultsmentioning

confidence: 99%

A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition

Luo

Zhang

Wang

2019

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

show abstract

“…Thirdly, smaller electrodes have higher impedance, which results in a input signal degradation, and therefore the AFE requires corresponding higher input impedance so that the clarity of sensing will not be compromised [149]. Impedance boosting techniques that have been employed to address this issue include canceling parasitic capacitance through techniques such as active shielding [150], [151] and negative capacitance [152], [153].…”

Section: Neural Signal Recordingmentioning

confidence: 99%

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

Yang

2020

IEEE Access

View full text Add to dashboard Cite

Implantable neural interface devices are an emerging technology for continuous brain monitoring and brain-computer interface (BCI). Recording of electrical signals from neurons of interest has led to more efficient and personalized diagnosis, treatment, and prognosis of neurological disorders. It facilitates the dynamic mapping of the whole brain, improving our understanding of the links between brain functions and behaviors. Stimulation of targeted nerves and neurons has been utilized as an effective therapy for Parkinson's disease, essential tremor, dystonia, etc. It has also been developed as motor neuroprosthetic devices, improving the quality of life of many. Although initial designs were bulky, recent advances in semiconductor and nano-, micro-technology has enabled the miniaturization of such devices to the millimeter scale. Free-floating neural implants of miniature size are highly scalable to be distributed around the targeted region of interest more extensively. They are more clinically viable as they cause less disturbance to the body and induce less tissue immune response. However, these research efforts for scaling down have faced challenges resulted from decreasing the size of such implants, including issues pertaining to wireless powering, data communication, neural signal recording, and neural stimulation. Through extensive literature research and simulations, the limits and trade-offs regarding neural implant miniaturization are investigated and analyzed for each aspect of the challenges. State-of-the-art development and future trends for advanced neural interfaces are also explored. INDEX TERMS Implantable neural interface, neural signal recording and stimulation, wireless power transfer, millimeter size, free-floating neural probes.

show abstract

Overview of Design Challenges in High-Performance ExG Interfaces

Badami

Solé

Mavrogordatos

et al. 2012

Biomedical Electronics, Noise Shaping ADCs, and Frequency References

View full text Add to dashboard Cite

A 255nW ultra-high input impedance analog front-end for non-contact ECG monitoring

Cited by 9 publications

References 5 publications

A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition

A Low-Noise Chopper Amplifier Designed for Multi-Channel Neural Signal Acquisition

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

Overview of Design Challenges in High-Performance ExG Interfaces

Contact Info

Product

Resources

About