PAPER PRESENTATION
Please note that the paper session schedule is subject to changes without any notification.
Download the i-CREATe 2009:
- Conference Proceedings (12.447 MB zip file)
- Published papers (6.7 MB zip file)
| Paper Session B2–Rehabilitation Technology Rm 3.2 Day 1 – 23 April 2009 (THURSDAY) 11:00AM – 12:30PM |
|
|---|---|
| Session | Description |
| 11:30AM – 11:45AM | B2–1 Hand Rehabilitation based on Augmented Reality Y. Shen, S. K. Ong, A. Y. C. Nee National University of Singapore Abstract
This paper presents an augmented reality based system for hand rehabilitation. In this system, digital data gloves are used to detect the movements of the patients' hands and collect the physical information from the patients. Using augmented reality technology, a highly controllable environment with tasks of different levels of difficulty is provided to the patients for them to perform the rehabilitation exercises gradually. The targets of the exercises can be adjusted dynamically with respect to the physical conditions and progress of the patients. Multimodal feedbacks are provided to facilitate and encourage the patients during the rehabilitation sessions. Full text: PDF (121 kB) |
| 11:15AM – 11:30AM | B2–2 Interactive Rehabilitation Lu Dong, Mui Suan Tan, Wei Tech Ang*, Chee Kiat Ng** Hwa Chong Institution, Singapore *Nanyang Technological University, Singapore **Lab Rehab Pte Ltd, Singapore Abstract
In the detection of ankle injuries, the Cumberland Ankle Instability Tool (CAIT) has been widely used. However, despite its validity and reliability as acclaimed by some therapists, certain inadequacies are still present due to the differences in judgements made by the physiotherapists and human subjects. This project investigates the possible use of the Pro.BalanceTM as a tool to detect potential ankle injuries. Preliminary results have shown that the CAIT score and the Overall Performance Index obtained from Pro.BalanceTM are correlated. Balancing tests should be done on difficulty levels 2 and 3 so as to achieve a more reliable and accurate diagnosis. Future work includes having a larger sample size to further verify the results. Full text: PDF (233 kB) |
| 11:30AM – 11:45AM | B2–3 Detailed Spine Modeling with LifeMOD Shih Kwang Tay, Ian Gibson, Bhat Nikhil Jagdish National University of Singapore, Singapore Abstract
Patients sitting in a wheelchair may spend hours in a relatively fixed position, with their lower back forced away from its natural lordotic curvature. This prolonged sitting was reported to be linked with low back problems. The aim of this study was to develop a design system that can simulate the kinematics behavior of musculoskeletal forms and generate a human-wheelchair interface to provide accurate means of designing effective seating solutions for wheelchair users preventing long-term spinal deformities. This virtual simulation platform aims to aid clinicians in their analysis to ensure higher degree of accuracy and consistency in the prescriptions.LifeMODTM was used as the base simulation software package to build a detailed spine multi-body model. The presented model can be applied to understand the complex spine biomechanics and clinically important analysis such as contact forces between each vertebrae and wheelchair model, load acting on the intervertebral disc joints, corresponding angles between vertebrae in the seated position and tension in the spine muscles. These results aid clinicians to develop mechanical design of back support, such as placing conventional pillows and towels at appropriate positions which can be an effective and convenient alternative to expensive special seating. Full text: PDF (257 kB) |
| 11:45AM – 12:00PM | B2–4 Evaluation on the Methods to Identify Muscle Fatigue Changes after Focal Cortical Ischemia in Rats Wei Rong, Le Li, Zheng Ke, Xiaoling Hu, Kai Yu Tong The Hong Kong Polytechnic University, Hong Kong Abstract
The extent of the restoration of limb functions after stroke is highly associated with the time of rehabilitation intervention and the corresponding workload prescription. Physical practice of the affected limbs in the relatively early stages after stroke (i.e. acute and subacute stages) could achieve a more significant motor functional recovery than the post-stroke training introduced in the later stage (i.e. chronic stage); However, the recovering brain would face more risks of further damage in response to over-exercise during the early stages than in the chronic period. In this study we have developed a platform to investigate fatigue change after stroke in rat. Results on 10 stroke rats showed decreases in mean power frequency (MPF) after the stroke surgery and larger co-contraction in the EMG signals, which were related to fatigue changes. The understanding on fatigue could help to generate suitable workload prescription for post-stroke rehabilitation, which will lead to an optimal functional and physiological recovery. Full text: PDF (93 kB) |
| 12:00PM – 12:15PM | B2–5 Spatial Filtering and Single-Trial Classification of EEG during Vowel Speech Imagery Charles DaSalla, Hiroyuki Kambara, Makoto Sato, Makoto Sato, Yasuharu Koike Tokyo Institute of Technology, Japan Abstract
With the purpose of providing assistive technology for the communication impaired, we propose a control algorithm for speech prostheses using vowel speech imagery. Electroencephalography was recorded in three healthy subjects during the performance of three tasks, imaginary speech of the English vowels /a/ and /u/, and a no action state as control. Speech related potentials were visualized by grand averaging in the time domain. Feature data was obtained by filtering the time series data using optimal spatial filters designed through the common spatial patterns method. The resultant feature vectors were classified using a nonlinear support vector machine. Overall classification accuracies ranged from 68 to 78%. Results indicate significant potential for the use of vowel speech imagery as a speech prosthesis controller. Full text: PDF (946 kB) |
| 12:15PM – 12:30PM | B2–6 A Comparison of Dimensionality Reduction Techniques for the P300 Response Sercan Taha Ahi, Hiroyuki Kambara, Yasuharu Koike Tokyo Insititute of Science and Technology, Japan Abstract
Although P300 is a fairly stable response and therefore utilized in a wide variety of Brain Computer Interface (BCI) applications, the problems of feature selection and dimensionality reduction still constitute a major setback for the applications. In this study, we focus on the selection of best features of P300 data for decreasing the computation time, improving accuracy and visualizing both the underlying classifcation process and neurophysiological mechanism. To this end, the performances of three feature selection techniques are evaluated. The three techniques are Principle Component Analysis, Spatial Filters for Event Related Potentials and Recursive Channel Elimination. They are applied on the data set acquired through 4-class P300 experiments conducted on 5 subjects. The accuracy profiles along with the computational issues are discussed. Full text: PDF (159 kB) |