A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses

Abstract

Objective: A novel in-home sleep monitoring system with an 8-channel biopotential acquisition front-end chip is presented and validated via multilevel data analyses and comparision with advanced polysomnography. Methods and procedures: The chip includes a cascaded low-noise programmable gain amplifier (PGA) and 24-bit Σ-Δ analog-to-digital converter (ADC). The PGA is based on three op-amp structure while the ADC adopts cascade of integrator feedforward and feedback (CIFF-B) architecture. An innovative chopper-modulated input-scaling-down technique enhances the dynamic range. The proposed system and commercial polysomnography were used for in-home sleep monitoring of 20 healthy participants. The consistency and significance of the two groups' data were analyzed. Results: Fabricated in 180 nm BCD technology, the input-referred noise, input impedance, common-mode rejection ratio, and dynamic range of the acquisition front-end chip were 0.89 µVpp, 1.25 GΩ, 113.9 dB, and 119.8 dB. The kappa coefficients between the sleep stage labels of the three scorers were 0.80, 0.76, and 0.79. The consistency of the slowing index, multiscale entropy, and percentile features between the two devices reached 0.958, 0.885, and 0.834. The macro sleep architecture characteristics of the two devices were not significantly different (all p>0.05). Conclusion: The proposed chip was applied to develop an in-home sleep monitoring system with significantly reduced size, power, and cost. Multilevel analyses demonstrated that this system collects stable and accurate in-home sleep data. Clinical impact: The proposed system can be applied for long-term in-home sleep monitoring outside of laboratory environments and sleep disorders screening that with low cost.

Electromagnetic Susceptibility Analysis of the Operational Amplifier to Conducted EMI Injected through the Power Supply Port

“…Op-amps have become one of the most common electronic devices in the field of analog and control integrated circuits [1][2][3]. At the front end of the signal transmission link, the op-amp can sense and amplify the function of the input signal [4][5][6][7]. At the end of the signal transmission link, the op-amp enhances the drive capability of the system and performs impedance conversion.…”

A Wireless, High-Quality, Soft and Portable Wrist-Worn System for sEMG Signal Detection

“…Meanwhile, research on the use of sEMG signals for gesture recognition [ 14 , 15 , 16 ] and physiological health status monitoring [ 17 , 18 , 19 , 20 ] has gained increasing attention in the fields of human–computer interaction and biomedical engineering. Prof. Sheng et al developed a real-time gesture recognition wristband that combined sEMG and inertial measurement unit sensors located at the wrist instead of at the forearm, which was more in line with human-wearing habits.…”

“…Prof. Chen et al proposed a novel regression-based framework for the quantitative assessment of muscle spasticity using wearable sEMG and inertial sensors combined [ 19 ]. Prof. Liu et al proposed a novel in-home sleep monitoring system with an eight-channel biopotential acquisition front-end chip, which could acquire sEMG signals and combine them with electrooculography and ECG signals for sleep state monitoring [ 20 ].…”