Title
A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning
Abstract
Biofeedback is a method gaining increased interest and showing good results for a number of physical and psychological problems. Biofeedback training is mostly guided by an experienced clinician and the results largely rely on the clinicianu0027s competence. In this paper we propose a three phase computer assisted sensor-based biofeedback decision support system assisting less experienced clinicians, acting as second opinion for experienced clinicians. The three phase CBR framework is deployed to classify a patient, estimate initial parameters and to make recommendations for biofeedback training by retrieving and comparing with previous similar cases in terms of features extracted. The three phases work independently from each other. Moreover, fuzzy techniques are incorporated into our CBR system to better accommodate uncertainty in clinicians reasoning as well as decision analysis. All parts in the proposed framework have been implemented and primarily validated in a prototypical system. The initial result shows how the three phases functioned with CBR technique to assist biofeedback training. Eventually the system enables the clinicians to allow a patient to train himself/herself unsupervised.
Year
Venue
Keywords
2008
ECCBR Workshops
use case
Field
DocType
Citations 
Decision analysis,Fuzzy logic,Decision support system,Second opinion,Artificial intelligence,Case-based reasoning,Biofeedback,Medicine,Multimedia,Biofeedback training,Machine learning
Conference
1
PageRank 
References 
Authors
0.40
1
5
Name
Order
Citations
PageRank
Mobyen Uddin Ahmed119323.47
Shahina Begum214718.42
P. Funk329122.99
Ning Xiong4585.90
Bo Von Schéele5693.14