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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Nutrient

nephritis

https://doi.org/10.1007/978-3-030-34833-5antennas; communication; communication channels (information theory); computer networks; data communicat

熱心助人

gerontocracy

Duodenitis

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

CRAB

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

Guaff豪情痛飲

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

Expiration

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

FLAT

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