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Titlebook: Body Area Networks:Smart IoT and Big Data for Intelligent Health Management; 14th EAI Internation Lorenzo Mucchi,Matti H?m?l?inen,Simone Mo

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發(fā)表于 2025-3-21 18:25:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Body Area Networks:Smart IoT and Big Data for Intelligent Health Management
期刊簡(jiǎn)稱14th EAI Internation
影響因子2023Lorenzo Mucchi,Matti H?m?l?inen,Simone Morosi
視頻videohttp://file.papertrans.cn/190/189535/189535.mp4
學(xué)科分類Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Body Area Networks:Smart IoT and Big Data for Intelligent Health Management; 14th EAI Internation Lorenzo Mucchi,Matti H?m?l?inen,Simone Mo
影響因子.This book constitutes the refereed post-conference proceedings of the 14.th. EAI International Conference on Body Area Networks, BodyNets 2019, held in Florence, Italy, in October 2019.. The 27 papers presented were selected from 54 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective..
Pindex Conference proceedings 2019
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https://doi.org/10.1007/978-3-030-34833-5antennas; communication; communication channels (information theory); computer networks; data communicat
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Kentaro Hanada,Toshihiko Sugikiain vital physiological and pathological evidence about health. Many existing techniques are not suitable for long-term dynamic heart sound monitoring since their large size, high-cost and uncomfortable to wear. This paper proposes a small, low-cost and wearable piezoelectric heart sound sensor, whi
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發(fā)表于 2025-3-22 18:15:11 | 只看該作者
Mark R. Emmett,Cheryl F. Lichticy in the range of 30?cm. To this end, the two barometers synchronized each time an RFID reader detects them being in proximity of each other. The accuracy is sufficient to detect a specific shelve of a cupboard on which something has been placed or determine if the user’s hand is touching his/her h
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Peter J. Quinn,D. Rainteau,C. Wolfvements. Automatic fall detection systems based on the wearable sensors are becoming popular in recent years. This paper proposes a new fall detection system based on the smart insole. Each smart insole contains pressure a pressure sensor array and can provide abundant pressure information during th
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Timothy J. Garrett,William W. Dawsonvices, an implementation of the antidictionary coding algorithm for memory constrained devices is presented. Pre-trained . probabilistic models built from quantized ECG sequences were constructed in an offline fashion and their performance was evaluated on a set of test signals. The low complexity r
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https://doi.org/10.1007/978-1-60761-322-0noisy data. Wireless body-worn sensors coupled with mobile applications can be harnessed to automate the data collection process during clinical trials. This paper describes the use of the Respeck monitor, worn as a plaster on the chest, for characterising breathing and physical activity patterns in
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