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首页> 外文期刊>Robotics & Machine Learning Daily News >Study Findings on Robotics Described by Researchers at University of Minho (Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors)
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Study Findings on Robotics Described by Researchers at University of Minho (Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors)

机译:米尼奥大学研究人员描述的机器人技术研究结果(使用惯性、肌电图和心率可穿戴传感器在辅助和非辅助步态中进行基于深度学习的能量消耗估计)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on robotics have been published. According to news reporting fromGuimaraes, Portugal, by NewsRx journalists, research stated, “Energy expenditure is a key rehabilitationoutcome and is starting to be used in robotics-based rehabilitation through human-in-the-loop control totailor robot assistance towards reducing patients’ energy effort. However, it is usually assessed by indirect calorimetry which entails a certain degree of invasiveness and provides delayed data, which is not suitablefor controlling robotic devices.”
机译:机器人技术与新闻记者新闻编辑机器学习日常研究结果对机器人已经出版。据新闻报道葡萄牙,NewsRx记者,研究指出,“能量消耗是一个关键康复在自动机康复human-in-the-loop控制帮助减少病人的能量努力。需要一定的间接量热法程度的侵袭性和提供延迟的数据,这不是合适的设备。”

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