机译:使用机器学习分类来检测心律失常的可穿戴无线传感器系统
Swinburne Univ Technol Sch Software & Elect Engn Melbourne Vic 3122 Australia;
Swinburne Univ Technol Sch Software & Elect Engn Melbourne Vic 3122 Australia;
Swinburne Univ Technol Sch Software & Elect Engn Melbourne Vic 3122 Australia;
Electrocardiography; Heart; Sensors; Machine learning; Medical services; Sensor systems; Monitoring; Abnormalities; mobile platform; ECG; IoT; LabVIEW; ANN; extraction techniques; HTTP;
机译:Implementation of Machine Learning Classification Regarding Hemiplegic Gait Using an Assortment of Machine Learning Algorithms with Quantification from Conformal Wearable and Wireless Inertial Sensor System
机译:初步的网络中心疗法用于机学习的深部脑刺激状态分类,以适形可穿戴无线惯性传感器治疗帕金森氏病
机译:Implementation of an Assortment of Machine Learning Classification Algorithms Regarding Diadochokinesia for Hemiparesis with Quantification from Conformal Wearable and Wireless System
机译:用于机器学习分类的保形耐磨和无线惯性传感器系统偏瘫减少臂摇摆
机译:工程蛋白酶活性传感器和机器学习方法检测和表征疾病
机译:新兴的可穿戴式生理监测技术和健康与性能决策辅助:使用可穿戴式传感器机器学习模型在日常生活的无监督活动中提取有氧系统动力学
机译:初步网络以机械学习分类为中心疗法,深脑刺激状态治疗帕金森病,具有保形可穿戴和无线惯性传感器