A Low-Cost Wireless Multichannel Surface EMG Acquisition System

Yang, Yong-Huang; Ruan, Shanq-Jang; Chen, Pin-Chang; Liu, Yantong; Hsueh, Ya-Hsin

doi:10.1109/mce.2020.2986792

Cited by 18 publications

(25 citation statements)

References 8 publications

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“…The aim of the actuator is to acquire and analyze data. Yang et al [41] have proved that an MCU is afford to acquire sEMG signals. Therefore, STM32H743 [42] is chosen as the main processing chip.…”

Section: B Actuatormentioning

confidence: 99%

“…Table 3 compares the differences between the proposed design and other architectures. Both the commercial device [45] and [41] can only support one channel sEMG signal. The commercial device [45] supports the band-pass filter for signal pre-processing.…”

Section: Power Unitmentioning

confidence: 99%

“…However, the proposed architecture supports four channel sEMG inputs and several DSP algorithms such as band-pass filter, hamming window, FFT, PSD compensation, and median frequency. The functionality of both [41] and our proposed architecture can be modified by updating the firmware based on the implementation of an MCU. Compared with the commercial device [45] and [41], the reserved four sensor connectors allow users to customize the required number of EMG channels for most applications.…”

Section: Power Unitmentioning

confidence: 99%

“…The functionality of both [41] and our proposed architecture can be modified by updating the firmware based on the implementation of an MCU. Compared with the commercial device [45] and [41], the reserved four sensor connectors allow users to customize the required number of EMG channels for most applications. In addition, a high-performance MCU gives users greater flexibility to customize the allocation of computing capacity according to different computing requirements.…”

Section: Power Unitmentioning

confidence: 99%

“…In other words, the client can allocate more computations, or allocate fewer computations to reduce the CPU clock frequency due to power-saving requirements. In terms of wireless transmission technologies, the commercial device [45] uses the same BLE technology as the proposed architecture, but [41] uses a higher-power Wi-Fi device. Besides, the moderated CPU clock rate and the selection of wireless device improve the power consumption where the battery life lasts for 11.2 hours.…”

Section: Power Unitmentioning

confidence: 99%

See 4 more Smart Citations

Power-Management Strategies in sEMG Wireless Body Sensor Networks Based on Computation Allocations: A Case Study for Fatigue Assessments

Chen

Ruan

2020

IEEE Access

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Surface ElectroMyoGraphy (sEMG) is widely applied to a variety of applications. Managing the power consumption of battery-constrained sEMG Wireless Body Sensor Networks (WBSN) is an important topic. In this paper, we use fatigue assessments as a case study. We apply the concept of distributed computing to explore the impact of computation allocations on the client power consumption and the requirement of architecture specifications. Regarding the CPU clock rate, we propose a powersaving method based on the ping-pong buffer mechanism and evaluate all the crucial factors which affect the power consumption such as sEMG sample rates, algorithmic computational costs, wireless throughputs, and selection of wireless technologies. To sum up, we conduct a comprehensive analysis of all possible distributed computing architectures of WBSN to determine the lowest-power WBSN architecture. The results show that the implementation based on the lowest-power WBSN architecture has lower power consumption compared with other hardwares. The average current of the proposed architecture can be reduced by 81.7% compared with the previous work. Besides, the battery life is 4.48 times that of the previous work under the continuous wireless connection equipped with the same 300mAh lithium battery. Compared with the commercial device, the battery life is 1.6 times that of the commercial one.

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Section: B Actuatormentioning

confidence: 99%

Section: Power Unitmentioning

confidence: 99%