Wearable sensor-based data analysis for neurological disease symptoms evaluation utilising quantitative approach.

Publisher： Edp Sciences

E-ISSN： 2261-236x|210|issue|05015-05015

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.210, Iss.issue, 2018-10, pp. : 05015-05015

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Hidden information retrieval and evaluation method and tools utilising ontology reasoning applied for financial fraud analysis.

By  

MATEC Web of conference, Vol. 210, Iss. issue, 2018-10 ,pp. : 02019-02019

Edp Sciences

Access to resources Recommend Favorite

Quantitative Analysis for Aluminium Alloy Welding Quality based on Current Sample Entropy

By  

MATEC Web of conference, Vol. 175, Iss. issue, 2018-07 ,pp. : 02001-02001

Edp Sciences

Access to resources Recommend Favorite

Node-Gosper Island-Based Data Collection Method with Recharge Plan for Rechargeable Wireless Sensor Networks

By Chen Chi-Chang  

MATEC Web of conference, Vol. 201, Iss. issue, 2018-09 ,pp. : 03001-03001

Edp Sciences

Access to resources Recommend Favorite

Calibration-Free Robot-Sensor Calibration approach based on Second-Order Cone Programming

By  

MATEC Web of conference, Vol. 173, Iss. issue, 2018-06 ,pp. : 02005-02005

Edp Sciences

Access to resources Recommend Favorite

Queue-based quantitative approach for border guard operational modelling. Constructive simulator models reflecting border crossings and blockade elements.

By  

MATEC Web of conference, Vol. 210, Iss. issue, 2018-10 ,pp. : 02051-02051

Edp Sciences

Access to resources Recommend Favorite