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Objective To obtain the three-dimensional (3D) motion space of ankle by an integral for the 3D rotation angle with mutual relationships of rotation angles in different directions, which is used to evaluate the flexibility and recovery of ankle more accurately and ful-ly. Methods Twenty-five graduate students were recruited to participate in this study, one group consisted of 20 healthy individuals without ankle injury, and the other was composed of 5 patients with ankle injury. A motion capturing system was used to simultaneously capture the 3D coordinates of the marked points on the foot. Next, these 3D coordinates were converted into rotation angles through trigonometric func-tions processed. The maximum rotation angles of adduction, abduction, varus, and eversion change with the rotation angles of plantar flex-ion and dorsal flexure were measured by using polynomial fitting. At last, the size of the ankle's 3D motion space was obtained by integrat-ing the fitting functions. Results The ankle's 3D motion space of the healthy people was 41.256, and the variation among them was less than 10%. The ankle's 3D motion space of the patient side was 33.163, and the variation among them was less than 15%because of the different degrees of rehabilitation. There was significant difference between two groups (t=8.804, P<0.01). With the same rotation angles of plantar flexion or dorsal flexure, the maximum rotation angle of varus was larger than that of eversion, and the maximum rotation angle of adduc-tion was larger than that of abduction. Conclusion The algorithm can be used to quantify the 3D motion space of ankle more accurately, and to achieve a more comprehensive evaluation of ankle's flexibility and rehabilitation.
RESUMEN
Objective To obtain the three-dimensional (3D) motion space of ankle by an integral for the 3D rotation angle with mutual relationships of rotation angles in different directions, which is used to evaluate the flexibility and recovery of ankle more accurately and ful-ly. Methods Twenty-five graduate students were recruited to participate in this study, one group consisted of 20 healthy individuals without ankle injury, and the other was composed of 5 patients with ankle injury. A motion capturing system was used to simultaneously capture the 3D coordinates of the marked points on the foot. Next, these 3D coordinates were converted into rotation angles through trigonometric func-tions processed. The maximum rotation angles of adduction, abduction, varus, and eversion change with the rotation angles of plantar flex-ion and dorsal flexure were measured by using polynomial fitting. At last, the size of the ankle's 3D motion space was obtained by integrat-ing the fitting functions. Results The ankle's 3D motion space of the healthy people was 41.256, and the variation among them was less than 10%. The ankle's 3D motion space of the patient side was 33.163, and the variation among them was less than 15%because of the different degrees of rehabilitation. There was significant difference between two groups (t=8.804, P<0.01). With the same rotation angles of plantar flexion or dorsal flexure, the maximum rotation angle of varus was larger than that of eversion, and the maximum rotation angle of adduc-tion was larger than that of abduction. Conclusion The algorithm can be used to quantify the 3D motion space of ankle more accurately, and to achieve a more comprehensive evaluation of ankle's flexibility and rehabilitation.
RESUMEN
The water-soluble 3-mercaptopropionic acid (MPA)-stabilized CdTe (MPA-CdTe) quantum dots (QDs) were synthesized by aqueous suspension.The study showed that the fluorescence quenching process of Cu2+ to MPA-CdTe QDs,whose largest emission peak was 599 nm,could be described well by the theory of fluorescence quenching in competitive absorption systems and its modification of Stern-Volmer equations.By fittings,the results showed a good polynomial relationship between the fluorescence intensity F0/F and the concentration of Cu2+,when the concentration was in the range of 2.28 × 10-6-18.24 × 10-6 mol/L and 4.8 × 10-7-12 × 10-7 mol/L,and two polynomial equations were respectively elucidated based on dynamic and static quenching in competitive-absorption systems:F0/F =7.999-2.470c +0.339 c2,F0/F =3.154-0.160 c +0.049 c2 and degree of fitting are 0.991 and 0.993,respectively.The detection limit was 1.326 × 10-7.
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Purpose: Use of BCI clip-on probe for blood volume transmission pulse wave detection, through the signal conditioning amplifier circuit, A/D conversion circuit, microcontroller and interfaces to collected data to the PC. The applications of software filtering to improve hardware filtering. Methods: This article is carried out in MATLAB based on the least squares polynomial fitting of the low-pass FIR filter denoising simulation. Results: Removal of well-frequency and other interference, access to clean pulse volume waveform. Conclusion: To facilitate real-time display in the interface and for the latter part of the feature extraction and parameter calculation