Titlebook: Wireless Mobile Communication and Healthcare; Second International Konstantina S. Nikita,James C. Lin,Maria-Teresa Ar Conference proceeding

ODE

書目名稱Wireless Mobile Communication and Healthcare影響因子(影響力)




書目名稱Wireless Mobile Communication and Healthcare影響因子(影響力)學(xué)科排名




書目名稱Wireless Mobile Communication and Healthcare網(wǎng)絡(luò)公開度




書目名稱Wireless Mobile Communication and Healthcare網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Wireless Mobile Communication and Healthcare被引頻次




書目名稱Wireless Mobile Communication and Healthcare被引頻次學(xué)科排名




書目名稱Wireless Mobile Communication and Healthcare年度引用




書目名稱Wireless Mobile Communication and Healthcare年度引用學(xué)科排名




書目名稱Wireless Mobile Communication and Healthcare讀者反饋




書目名稱Wireless Mobile Communication and Healthcare讀者反饋學(xué)科排名

偏見

Audiometry

朦朧

In Vitro and In Vivo Operation of a Wireless Body Sensor Nodeies and bio-sensor) to allow continuous monitoring of physiological data. In vitro characterization validates the simulated performances, while in vivo experiment shows the capability of the system for real life telemedicine applications.

專橫

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/w/image/1028990.jpg

Uncultured

https://doi.org/10.1007/978-3-642-29734-2QoS; body sensor networks; emergency responder; social services; ubiquitous healthcare environment

誹謗

A Distributed-Parameter Approach to Model Galvanic and Capacitive Coupling for Intra-body Communicatlar signal. In order to depict that skin impedance, the model is based on the major electro-physiological properties of the skin, which also allows a personalized model. Simulation results have been successfully compared with several published results, thus showing the tuning capability of the model to different experimental conditions.

seruting

Design and Validation of a Secure Communication Platform for Mobile Health the cooperation of 375 volunteers from a global mobile operator, a regional medical company, a SME applications developer and a state university with deep background on eHealth. Users’ feedback has been quite satisfactory and promising.

容易做

Activity Recognition Using Smartphones and Wearable Wireless Body Sensor Networksaccelerometers, worn on the waist and the shank, and a wireless heart rate monitor. Data are transmitted via Bluetooth to a smartphone, annotated and analyzed to recognize user activity. WISE platform architecture is described along with recognition accuracy performed by multiple classifiers.

jaundiced