Project Details
Abstract
Motor control functional impairment (e.g. stroke) and respiratory function disorder (Chronic
Obstructive Pulmonary Disease, COPD) patients often need to take rehabilitation exercise with
treadmill to improve their motor control and cardiopulmonary functions. However, there is no effective
way during the exercise to monitor and to control the exercise intensity during rehabilitation training.
According to the research report from ASSM, the appropriate exercise intensity control may be used to
avoid the sudden death and to ensure the exercise effects for these patients. In addition,
Carrieri-Kohlman also proposed the exercise-desensitization theory as guidance for the exercise
rehabilitation training to promote the tolerance in patients by progressive exercise below the threshold
of dyspnea. In recent years, body sensor network (BSN) integrated with conductive fiber, wireless
communication and intelligent computation techniques with identification of physiological indices and
physiological markers have been recognized as an emerging research area for remote healthcare. In this
three-year research project, body sensor network, oxygen compensation, exercise intensity control,
physiological marker assessment and closed-loop control techniques will be integrated to develop an
exercise intensity controlled robotic treadmill with oxygen compensation and body sensor network for
lower extremity rehabilitation.
In the first part (year), conceptual design of the proposed rehabilitation treadmill will be developed
by using TRIZ theory, biofeedback closed-loop speed control module will be developed, heart rate
adaptive control rule using Fuzzy control theory and firmware software module will be developed.
Finally, pilot study will be performed by using commercial available treadmill to verify the exercise
intensity control mechanism. The research work of second part (year) will be focused on integrating
BSN, conductive fiber knitting, real-time intelligent computation, wireless communication and power
supply management technologies to develop BSN smart cloth. In addition, the physiological indices and
physiological markers will be designed for functional experiments.The clinical assessment of the
proposed rehabilitation training protocols will be performed in the third part (year). Experimental
evaluation will be performed in two phases. In the first phase, stroke patients will be recruited for
verifying the motor control and cardiopulmonary function improvement effect using the proposed
exercise intensity control rehabilitation treadmill. In the second phase, test subjects will be recruited for
evaluation of oxygen compensation effects on fatiguability during and after ambulatory rehabilitation.
Furthermore, the physiological index/marker database will be developed for future risk analysis of
frailty or target diseases.
Upon completing of this project, the proposed exercise intensity control rehabilitation treadmill
with oxygen compensation and BSN smart cloth will be developed and used for clinical assessment.
The real-time exercise intensity control mechanism may be considered as a good solution for exercise
intensity training. The proposed wearable BSN smart cloth may become kernel technologies for
ubiquous (anytime, anyplace and any-movement) physiological monitoring in tele-healthcare
applications.
Project IDs
Project ID:PB10108-2155
External Project ID:NSC101-2221-E182-044-MY3
External Project ID:NSC101-2221-E182-044-MY3
Status | Finished |
---|---|
Effective start/end date | 01/08/12 → 31/07/13 |
Keywords
- Exercise Intensity Control
- Body Sensor Network
- Smart Cloth
- OxygenCompensation
- Physiological index/marker
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