A Novel Front-End Design for Bioelectrical Signal Wearable Acquisition

Ding, Jianwen; Tang, Yue; Zhang, Limin; Yan, Feng; Gu, Xiuxiu; Wu, Rongrong

doi:10.1109/jsen.2019.2917938

Cited by 12 publications

(6 citation statements)

References 22 publications

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“…The SNR of the single channel is 16.5 dB, and the SNR of the averaged ECG signal is 22.7 dB with an improvement of 6.2 dB, which is concordant with the theoretical analysis. In addition, the comparison between the data measured on the upper arm with the proposed system and the standard lead of the wrist acquired by another ECG equipment designed by our group [ 14 ] is also carried out, as shown in Figure 13 ; each R-peak is manually aligned, indicating that the R-R interval between the two signals is consistent and the heart rate correlation is still above 0.99. As shown in Table 5 , the proposed system has been compared with some other state-of-the-art systems, which can only see R wave or T wave for heart rate detection and cannot detect P wave.…”

Section: Results and Analysismentioning

confidence: 99%

“…In addition to the above techniques, efforts have also been made to optimize hardware circuits [ 13 ]. To reduce the influence of the error of the peripheral components on CMRR, a novel front for bioelectrical signal acquisition is proposed [ 14 ]. The detection electrodes are very susceptible to the power line common mode interference (CMI) and the body motion.…”

Section: Introductionmentioning

confidence: 99%

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A High-Performance System for Weak ECG Real-Time Detection

Xu,

Yang,

et al. 2024

Sensors

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Wearable devices have been widely used for the home monitoring of physical activities and healthcare conditions, among which ambulatory electrocardiogram (ECG) stands out for the diagnostic cardiovascular information it contains. Continuous and unobtrusive sensing often requires the integration of wearable sensors to existing devices such as watches, armband, headphones, etc.; nonetheless, it is difficult to detect high-quality ECG due to the nature of low signal amplitude at these areas. In this paper, a high-performance system with multi-channel signal superposition for weak ECG real-time detection is proposed. Firstly, theoretical analysis and simulation is performed to demonstrate the effectiveness of this system design. The detection system, including electrode array, acquisition board, and the application (APP), is then developed and the electrical characteristics are measured. A common mode rejection ratio (CMRR) of up to 100 dB and input inferred voltage noise below 1 μV are realized. Finally, the technique is implemented in form of ear-worn and armband devices, achieving an SNR over 20 dB. Results are also compared with the simultaneous recording of standard lead I ECG. The correlation between the heart rates derived from experimental and standard signals is higher than 0.99, showing the feasibility of the proposed technique.

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Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A High-Performance System for Weak ECG Real-Time Detection

Xu,

Yang,

et al. 2024

Sensors

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“…The ADC module uses TI company’s 24-bit high-resolution integrated ADS1298 chip. Multi-channel ECG signals are input to the ADS1298 internal ADC in differential form for conversion and a novel front-end design is used [ 21 ]. The microprocessor chip MSP430F5528 is used to process and transmit the sampled data of ADS1298, and the low-power Bluetooth CC2541 is used to communicate with the upper computer to realize real-time wireless transmission of the collected data.…”

Section: Systematic Designmentioning

confidence: 99%

Single Position ECG Detection System Based on Charge Induction

Yang

et al. 2023

Sensors

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With the growing incidence of cardiovascular disease (CVD) in recent decades, the demand for out-of-hospital real-time ECG monitoring is increasing day by day, which promotes the research and development of portable ECG monitoring equipment. At present, two main categories of ECG monitoring devices are “limb lead ECG recording devices” and “chest lead ECG recording devices”, which both require at least two electrodes. The former needs to complete the detection by means of a two-hand lap joint. This will seriously affect the normal activities of users. The electrodes used by the latter also need to be kept at a certain distance, usually more than 10 cm, to ensure the accuracy of the detection results. Decreasing the electrode spacing of the existing ECG detection equipment or reducing the area required for detection will be more conducive to improving the integration of the out-of-hospital portable ECG technologies. Therefore, a single-position ECG system based on charge induction is proposed to realize ECG detection on the surface of the human body with only one electrode with a diameter of less than 2 cm. Firstly, the ECG waveform detected in a single location is simulated by analyzing the electrophysiological activities of the human heart on the human body surface with COMSOL Multiphysics 5.4 software. Then, the hardware circuit design of the system and the host computer are developed and the test is performed. Finally, experiments for static and dynamic ECG monitoring are carried out and the heart rate correlation coefficients are 0.9698 and 0.9802, respectively, which proves the reliability and data accuracy of the system.

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“…Wearable devices need to be easy to attach to the body and portable, so miniaturization and low-power operation are essential. The bioelectrical signals processed by wearable devices are characterized by small amplitude and low frequency, and the amplitude and frequency range of each signal (ECG, EMG, EEG, and EOG) are different [1]. If an ADC is designed specifically for each characteristic of the bioelectrical signals, there may be a problem of power consumption to be wasted and chip area being increased more than it is required.…”

Section: Introductionmentioning

confidence: 99%

A 12~14-Bit SAR-SS Hybrid ADC with SS Bit Shifting Resolution Reconfigurable Method for Bio-Signal Processing

Moon,

Yoon,

Lee

2023

Electronics

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This paper presents a low-power, high-resolution reconfigurable hybrid ADC for bio-electrical signal processing. The proposed ADC contains a SAR ADC for the most significant bit (MSB) and a single-slope ADC for the least significant bit (LSB). To solve the issue of exponentially increasing sampling speed based on the resolution of the single-slope ADC, the SAR ADC is designed to be reconfigurable with a resolution of 8–10-bit, while the single-slope ADC is configured with a resolution of 4-bit. To achieve this resolution reconfiguration, the bit shifting method is proposed and implemented with reconfigurable SAR logic circuit and 4-bit single-slope digital ramp generator. Measurement results demonstrate the power consumption of 34.0 uW, which includes analog power of 23.8 uW and digital power of 10.2 uW, INL/DNL of ±3.5 LSB and −1.0/+2.5 LSB. The ENOB and FoM are measured to be 10.8 bits and 53 fJ/step, respectively.

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A Novel Front-End Design for Bioelectrical Signal Wearable Acquisition

Cited by 12 publications

References 22 publications

A High-Performance System for Weak ECG Real-Time Detection

A High-Performance System for Weak ECG Real-Time Detection

Single Position ECG Detection System Based on Charge Induction

A 12~14-Bit SAR-SS Hybrid ADC with SS Bit Shifting Resolution Reconfigurable Method for Bio-Signal Processing

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