Titlebook: IoT Technologies for HealthCare; 7th EAI Internationa Rossitza Goleva,Nuno Ricardo da Cruz Garcia,Ivan M Conference proceedings 2021 ICST I

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书目名称IoT Technologies for HealthCare被引频次学科排名




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书目名称IoT Technologies for HealthCare年度引用学科排名




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书目名称IoT Technologies for HealthCare读者反馈学科排名

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A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addis the mother and her baby at increased risk of severe complications including deformities, low birth weight, and mental disabilities. Pregnancy can motivate a woman to enter into an addiction treatment program to protect her unborn baby from the effects of drug misuse. Despite the availability of se

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Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageingntage of young people in the demographic profiles of many developed countries, requires the proper selection of sensing components, in order to come up with devices that can be easily used and integrated into everyday life. This paper addresses the metrological characterization of pressure sensors t

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Novel Wearable System for Surface EMG Using Compact Electronic Board and Printed Matrix of Electrodeearable devices, the systems for measuring EMG (electromyography) signals are highly investigated. The possibility of recording different signals in a multichannel approach can lead to reliable data that can be used to improve diagnostic techniques, analyze performance in sports professionals and pe

内阁

Chronic Kidney Disease Early Diagnosis Enhancing by Using Data Mining Classification and Features Seyed recognition and prevention often lead to a premature mortality due to progressive and incurable loss of kidney function. Data mining classifiers employment to discover patterns in CKD indicators would contribute to an early diagnosis that allow patients to prevent such kidney severe damage. Adop

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Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEPan eye with the steady-state visually evoked potential (SSVEP) technique. This method gives users easy access to self-track and to monitor their eye health. The study focuses on how varying the SSVEP stimulus frequency and duration affect the overall representation of a person’s visual perception. T

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Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuliexternal stimuli, looking for methods to automatically classify the emotional involvement of individuals. The Galvanic Skin Response, or ElectroDermal Activity, is one of the most interesting signals used in emotion research. In this preliminary study, a few participants were submitted to auditory s

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