SCAD: Scalable Computing and Algorithms for Digital Health
HPI-SCAD-C Concepts and Methods
SCAD: Scalable Computing and Algorithms for Digital Health
HPI-SCAD-T Technologies and Tools
SCAD: Scalable Computing and Algorithms for Digital Health
HPI-SCAD-S Specialization
DICR: Digitalization of Clinical and Research Processes
HPI-DICR-C Concepts and Methods
DICR: Digitalization of Clinical and Research Processes
HPI-DICR-T Technologies and Tools
DICR: Digitalization of Clinical and Research Processes
HPI-DICR-S Specialization
APAD: Acquisition, Processing and Analysis of Health Data
HPI-APAD-C Concepts and Methods
APAD: Acquisition, Processing and Analysis of Health Data
HPI-APAD-T Technologies and Tools
APAD: Acquisition, Processing and Analysis of Health Data
HPI-APAD-S Specialization
HDAS: Health Data Security
HPI-HDAS-C Concepts and Methods
HDAS: Health Data Security
HPI-HDAS-T Technologies and Methods
HDAS: Health Data Security
HPI-HDAS-S Specialization
Data Engineering MA
DATA: Data Analytics
HPI-DATA-T Techniken und Werkzeuge
DATA: Data Analytics
HPI-DATA-S Spezialisierung
CODS: Complex Data Systems
HPI-CODS-K Konzepte und Methoden
CODS: Complex Data Systems
HPI-CODS-T Techniken und Werkzeuge
CODS: Complex Data Systems
HPI-CODS-S Spezialisierung
DATA: Data Analytics
HPI-DATA-K Konzepte und Methoden
IT-Systems Engineering MA
OSIS: Operating Systems & Information Systems Technology
HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
HPI-OSIS-T Techniken und Werkzeuge
Description
This lecture provides an introduction into Connected Healthcare: paving the way for a user-centered and preventive healthcare model with the help of ubiquitous sensing and computing technologies
Methods include wearable and ambient sensor data processing, basic statistical methods and relevant methods from machine learning and data mining.
Applications include physiological signal processing, social signal processing, affective computing, context-aware computing and Internet-of-Health-Things.
There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.
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