http://plaza.umin.ac.jp/~smupedcs/links/internetecg/ラブテック モバイル スマホ タブレット 12誘導心電図伝送 モバイル クラウド カーディオロジ 心電図伝送で実現 お問い合わせは、ラブテック製品輸入元のメディカルテクニカまで 048-928-0168 冠動脈インターベンション 急性心筋梗塞(DoortoBalloon time 90分以内) 心電図伝送を早く導入してSTEMIをたくさん見る病院 90分を満たさなかった症例は不安定狭心症
メディカルテクニカ リンク集
2013年7月3日水曜日
マイクロセンサ
Energy-efficient Long Term Physiological Monitoring
Recently, several wireless body sensor-based systems have been proposed for continuous, long-term physiological monitoring. A major challenge in such systems is that a large amount of data is collected, and transmission of this data incurs significant energy consumption at the sensor. In this work, we demonstrate a data reporting method that significantly reduces energy consumption while maintaining a high diagnostic accuracy of the reported physiological signal. This is achieved by using a generative model of the physiological signal of interest at the sensor, and suppressing data transmission when sensed data matches the model. In this demonstration, we implement the proposed technique for electrocardiogram (ECG) signal and illustrate its performance in terms of energy savings and accuracy of reported data.
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