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Titlebook: Wireless Mobile Communication and Healthcare; 7th International Co Paolo Perego,Amir M. Rahmani,Nima TaheriNejad Conference proceedings 201

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1867-8211 , MobiHealth 2017, held in Vienna, Austria, in November 2017.. The 34 revised full papers were reviewed and selected from more than 50 submissions and are organized in topical sections covering data analysis, systems, work-in-process, pervasive and wearable health monitoring, advances in healthcare
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Ultra Low Power Programmable Wireless ExG SoC Design for IoT Healthcare Systems ExG (PW-ExG) design is implemented in 180 nm standard CMOS process with a core area of 4 mm.. The performance parameters are found to be, power consumption of 286 µW @ 0.6 V supply voltage, input referred noise voltage of 0.96 µV. over 0.5 Hz–1 kHz range, gain of 30–65 dB and signal-to-noise-and-distortion ratio (SNDR) of 69.2 dB.
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Watchful-Eye: A 3D Skeleton-Based System for Fall Detection of Physically-Disabled Cane Users results show that Watchful-Eye reached an accuracy between 87.2% and 94.5% with 5.5% to 12.8% error rate depending on the used classifier. Furthermore, the online evaluation shows that it can detect falls with an accuracy between 89.47% and 100%.
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Online Monitoring of Posture for Preventive Medicine Using Low-Cost Inertial Sensorssed and in daily-use) showed a deviation of approximately 1° with a low standard deviation. Innovation is the suitability for daily-use by sensors having a height of 2,5 mm that allow a seamless usage even during positions applying pressure to the back such a leaned sitting on a chair.
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