Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Classification of cerebral palsy gait by Kernel Fisher Discriminant Analysis
International Journal of Hybrid Intelligent Systems - Computational Models for Life Sciences
Case-based reasoning as a decision support system for cancer diagnosis: A case study
International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems
Case-Based Reasoning: An Effective Paradigm to Facilitate Diagnostic Support for Stroke Patients
Case-Based Reasoning: An Effective Paradigm to Facilitate Diagnostic Support for Stroke Patients
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Prognosis: a wearable health-monitoring system for people at risk: methodology and modeling
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Observing Recovery from Knee-Replacement Surgery by Using Wearable Sensors
BSN '11 Proceedings of the 2011 International Conference on Body Sensor Networks
sEMG Signal classification for the motion pattern of intelligent bionic artificial limb
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Effectiveness of a hybrid pattern classifier for medical applications
International Journal of Hybrid Intelligent Systems
A system for marker-less human motion estimation
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Classification of EMG signals using combined features and soft computing techniques
Applied Soft Computing
A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 0.00 |
A recovery monitoring system, based on hybrid computational intelligent techniques, is presented for post anterior cruciate ligament ACL injured/reconstructed subjects. The case based reasoning methodology has been combined with fuzzy and neuro-fuzzy techniques in order to develop a knowledge base and a learning model for classification of recovery stages and monitoring the progress of ACL-reconstructed subjects during the convalescence regimen. The system records kinematics and neuromuscular parameters from lower limbs of healthy and ACL-reconstructed subjects using body-mounted wireless sensors and a combined feature set is generated by performing data transformation and feature reduction techniques. In order to classify the recovery stage of subjects, fuzzy k-nearest neighbor technique and adaptive neuro-fuzzy inference system have been applied and results have been compared. The system was successfully tested on a group of healthy and post-operated athletes for analyzing their performance during ambulation and single leg balance testing activities. A semi-automatic process has been employed for case adaptation and retention, requiring input from the physiotherapists and physiatrists. The system can be utilized by physiatrists, physiotherapists, sports trainers and clinicians for multiple purposes including maintaining athletes' profile, monitoring progress of recovery, classifying recovery status, adapting recovery protocols and predicting athletes' sports performance