Digital Signal Processing Reference
In-Depth Information
Fig. 3
Online healthcare monitoring
key challenges in medical services, as it allows real time census and detection
of irregular condition. For example, monitoring pulse check enables to identify if
patient is in critical condition.
In such application, being able to process data in real time is essential. Indeed,
the information must be extracted and analyzed early enough to either take human
decision or have an automatic control action. As an example, high concentration of
calcium (happening under pain) could lead to either alerting medical staff or even
automatic delivery of pain-killers, and the amount of calcium in the blood would
determine the amount of medicine delivered. This control loop is only possible if
the delay between health measurements (e.g. concentration of calcium in blood)
and adaptation of treatment (e.g. concentration of pain-killer) is minimized.
1.1.3
Application 3: Analysis of Social Graphs; Coping
with Decentralized Information and Setup
Social networks can be seen as a graph where nodes represent people (e.g. bloggers)
and links represent interactions. Each node includes a temporal sequence of data,
such as blog posts, tweets, etc. Numerous applications require to manage this
huge amount of data: (a) selecting relevant content to answer keyword search,
(b) identifying key influencers with page rank algorithms or SNA measures, and
characterizing viral potential using followers' statistics, (c) recognizing objective
vs. subjective content through lexical and pattern-based models, (d) automatically
classifying data into topics (and creating new topics when needed) by observing
work co-occurrence and using clustering techniques and classifying documents
according to analysis performed on a small part of the document
