| As the rapid development of economy and the arrival of the aging society, people pay more and more attentions to themselves as well as their family’s healthcare and rehabilitation, thus the demands of the health rehabilitation service and products are growing fast. A huge number of patients who are effected by footdrop are suffering low quality lives because of stroke. Thus, how to help them via all kinds of facilities to adapt their daily lives and get recovered has become one of our main interests. Since the footdroppers are always so easy to fall and hurt themselves, how to detect the falls timely and accurately, and also how to inform the related with prewarnings have become a second one of our main focuse. With the increase in family sports fitness equipment, anaerobic exercise home fitness has become a fad. The footdrop patients also need some exercises to get recovered, so a third one of our hot points is how to evaluate the effects of aerobic exercise on cardiovascular system.In order to solve the problems above, this thesis mainly discusses, as well as, realizes three issues of adaptive stimulation of footdrop, the detecting and prewarning of the elderly falls and exercise rehabilitation. The main results and discussions are as follows:(1) Since it’s always difficult to realize the synchronization between stimulations and the movement of footdrop patients who experienced stroke, and it’s also hard to distinguish their normal from disable which makes it a must that the patients manually switch stimulation signal. In order to solve these problems, this paper puts forward a new technology for both adaptive stimulation of footdrop and rehabilation based on morden signal detecting, analyzing and processing, and we are believed to be the first to use the dual-axis inclinometer sensor and MCU to design and realize the whole system. We introduce biaxial inclination sensors for posture, the mean filter and Savitzky-Golay filter for raw data denosing and STFT, wavelet algorithm for optimum moments to send simulation signals. On one hand, BP artificial neural network is put forward to distinguish walking from non-walking using tibial angle information and it helps us when to when to send adaptive stimulation and control signals automatically, and on the other, this techonoly and the new system can do both stimulation and rehabilation just like two birds with one stone. By virtue of the adaptive simulation system, one can obtain97.5%accuracy of walking,95.8%accuracy of up the stairs and almost99%accuracy of down the stairs. (2) Since footdrop patients often fall down and get hurt and methods to make prewarnings of falling are still no where to be found, we put forward a new method and a new system which realizes fall detecting and prewarning based on research in anthropomorphology and study in anatomy by dual-axis inclinometer sensor and MCU. Experimentally realize the biaxial inclination sensor detection system to monitor body postures and introduce BP neural network to distinguish normal state from falling state roughly. Moreover, further analysis is made to determine more puzzle postures, e.g. bending over and falling, using three-stage data method. Furthermore, warnings and protection in advance are made based on mathematical morphology and signal processing method such as the function of angle rate which help to identify falling tendency and possible falling direction. Through this method, more than96.21%of the falling can be early warned, providing the effective early warning time to reduce falling damage; Actually distinguish the action in the daily life hence reducing the fall detection errors and improving the practicability of the detection.(3) Since there have always been questions and misunderstandings in healthcare and habilation for footdrop patients, systematically research in the effection of hemodynamic function parameters of common carotid artery controlled by anaerobic power bicycle exercises is carried out in order to provide useful guidance for the rehabilation for the rehabilitation, general health and exercise of patients with foot drop, we take young healthy volunteers with different genders as the research object, we use the anaerobic power bicycle to do four sets of the accurate exercise training at the same strength. Color doppler ultrasound imaging detection system were used to detect the resting state, the axis velocity waveform and carotid artery diameter waveform after each set of exercise training. Detect heart rate and blood pressure value via electronic automatic blood pressure meter. Calculate the elastic modulus of the common carotid artery and local hemodynamic parameters, including pressure-strain elastic modulus, flow rate, circumferential strain, wall shear stress and oscillatory shear index through the classical theory of hemodynamic analysis of test data. The results showed that the heart rate increases after the exercise; carotid artery elastic modulus tended to increase with the accumulation of movement; maximum and average value of the axial flow velocity and flow rate in one cardiac cycle are increasing whilst, the minimum value of flow rate decrease; systolic blood pressure and mean pressure increase anddiastolic blood pressure did not change significantly; circumferential strain did not change significantly; the maximum shear stress increases and the minimum value of shear stress decreases obviously; oscillatory shear index is also having an increasing trend. These results suggest that anaerobic power cycling may reduce the elastic function of the carotid artery, meanwhile have a negative impact on the common carotid artery hemodynamics that is different with the aerobic exercise’s enhancement on the arterial elasticity. This study provide useful adviceabout rebilitation exercises and sports training for both the footdrop patients and other groups.These studies not only contribute to the further development of the elderly fall detection and warning system and rehabilitation system of footdrop adaptive stimulation, but also provide some useful hemodynamic information in order to correctly use anaerobic power bicycle sport for healthcare and rehabilitation. |
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