title: A forced running wheel system with a microcontroller that provides high-intensity exercise training in an animal ischemic stroke model.
abstract: We developed a forced non-electric-shock running wheel (FNESRW) system that provides rats with high-intensity exercise training using automatic exercise training patterns that are controlled by a microcontroller. The proposed system successfully makes a breakthrough in the traditional motorized running wheel to allow rats to perform high-intensity training and to enable comparisons with the treadmill at the same exercise intensity without any electric shock. A polyvinyl chloride runway with a rough rubber surface was coated on the periphery of the wheel so as to permit automatic acceleration training, and which allowed the rats to run consistently at high speeds (30 m/min for 1 h). An animal ischemic stroke model was used to validate the proposed system. FNESRW, treadmill, control, and sham groups were studied. The FNESRW and treadmill groups underwent 3 weeks of endurance running training. After 3 weeks, the experiments of middle cerebral artery occlusion, the modified neurological severity score (mNSS), an inclined plane test, and triphenyltetrazolium chloride were performed to evaluate the effectiveness of the proposed platform. The proposed platform showed that enhancement of motor function, mNSS, and infarct volumes was significantly stronger in the FNESRW group than the control group (P<0.05) and similar to the treadmill group. The experimental data demonstrated that the proposed platform can be applied to test the benefit of exercise-preconditioning-induced neuroprotection using the animal stroke model. Additional advantages of the FNESRW system include stand-alone capability, independence of subjective human adjustment, and ease of use.
authors.affiliation: Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan.
authors.forename: C C
authors.initials: CC
authors.lastname: Chen
authors.affiliation: Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan.
authors.forename: M W
authors.initials: MW
authors.lastname: Chang
authors.affiliation: Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan.
authors.forename: C P
authors.initials: CP
authors.lastname: Chang
authors.affiliation: Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan.
authors.forename: S C
authors.initials: SC
authors.lastname: Chan
authors.affiliation: Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan.
authors.forename: W Y
authors.initials: WY
authors.lastname: Chang
authors.affiliation: Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan.
authors.forename: C L
authors.initials: CL
authors.lastname: Yang
authors.affiliation: Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.
authors.forename: M T
authors.initials: MT
authors.lastname: Lin
mesh_terms: D000818:Animals; D002138:Calibration; D002544:Cerebral Infarction / Q000473:pathology / Q000517:prevention & control; D004195:Disease Models, Animal; D004867:Equipment Design; D005080:Exercise Test / Q000379:methods*; D005081:Exercise Therapy / Q000379:methods*; D020244:Infarction, Middle Cerebral Artery / Q000473:pathology / Q000517:prevention & control*; D062069:Inventions; D008297:Male; D010805:Physical Conditioning, Animal / Q000295:instrumentation*; D010807:Physical Endurance; D005082:Physical Exertion; D011897:Random Allocation; D017208:Rats, Wistar; D012720:Severity of Illness Index; D012984:Software; D013997:Time Factors