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Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices

机译：功耗干扰除以低功耗可穿戴设备的高质量连续生物信息监控

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Marco Tomasini; Simone Benatti; Bojan Milosevic; Elisabetta Farella; Luca Benini;
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1. Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices [J] . M. Tomasini, S. Benatti, B. Milosevic, IEEE sensors journal . 2016,第10期

机译：利用低功率可穿戴设备消除电力线干扰，实现高质量连续生物信号监测
2. ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-Time Monitoring on Ultra Low-Power Personal Wearable Devices [J] . Amirshahi Alireza, Hashemi Matin IEEE transactions on biomedical circuits and systems . 2019,第6期

机译：基于STDP和R-STDP神经网络的ECG分类算法，用于超低功耗个人可穿戴设备的实时监控
3. Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease [J] . James Dieffenderfer, Henry Goodell, Steven Mills, Biomedical and Health Informatics, IEEE Journal of . 2016,第5期

机译：低功率可穿戴系统，用于持续监测慢性呼吸疾病的环境和健康
4. Low-power Continuous Heart and Respiration Rates Monitoring on Wearable Devices [C] . Illya Degtyarenko, Kostyantyn Slyusarenko, Andrii Omelchenko, IEEE International Conference on Acoustics, Speech and Signal Processing . 2019

机译：穿戴式设备的低功率连续心脏和呼吸频率监测
5. A System-Level Analysis of a Wireless Low-Power Biosignal Recording Device [D] . Chandler, Rodney James 2012

机译：无线低功耗生物信号记录设备的系统级分析
6. w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices [O] . Ganapati Bhat, Nicholas Tran, Holly Shill, 2020

机译：W-Har：使用低功耗可穿戴设备的活动识别数据集和框架
7. ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-Time Monitoring on Ultra Low-Power Personal Wearable Devices [O] . Alireza Amirshahi, Matin Hashemi 2019

机译：基于STDP和R-STDP神经网络的ECG分类算法，用于超低功耗个人可穿戴设备的实时监控

Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices

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