Autor: Sakai, N. - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: The effect of measurement position on brachial–ankle pulse wave velocity
Autorzy:: Shimawaki, S.
Toda, M.
Nakabayashi, M.
Sakai, N.
Tematy:: postawa ciała
prędkość
sztywność
staw kolanowy
posture
pulse wave velocity
vascular stiffness
knee flexion angle; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/306488.pdf Link otwiera się w nowym oknie
Opis:: Arterial stiffness measurements are primarily used for the early detection of arteriosclerosis. Methods and devices that can easily measure arterial stiffness at home are in demand. We propose a simple method for measuring brachial–ankle pulse wave velocity (baPWV) at home using a reclining chair and investigate the effects of positioning on baPWV measurement. We measured baPWV in 50 healthy men (21–70 years) in seven different measurement positions, including the supine position, sitting, sitting with the knees flexed at 45°, sitting with the knees flexed at 0°, reclining at 37°, reclining at 50°, and standing. BaPWV was significantly lower in the supine position (P < 0.01) than in the other positions. It was significantly higher in the sitting position (P < 0.01) than in the reclining position (37°). No changes in baPWV were seen changing the knee flexion angle alone while sitting. Strong correlations were also observed between baPWV in the supine position and that in other positions. We showed that baPWV in the supine position can be calculated by making corrections to baPWV measured in the sitting position at a reclining angle. Utilizing this corrected value would allow easy measurement at home using a reclining chair.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: Intelligent sensing and monitoring : respiratory motion prediction for tumor following radiotherapy
Autorzy:: Ichiji, K.
Homma, N.
Sakai, M.
Bukovsky, I.
Zhang, X.
Osanai, M.
Abe, M.
Sugita, N.
Yoshizawa, M.
Tematy:: intelligent sensing
monitoring
respiratory motion
tumor
radiotherapy
time-varying seasonal autoregressive model
TVSAR model
multiple regression
MR
multilayer perceptron
MLP
support vector regression
SVR; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Powiązania:: https://bibliotekanauki.pl/articles/91582.pdf Link otwiera się w nowym oknie
Opis:: This paper presents a medical application of the intelligent sensing and monitoring, a new lung tumor motion prediction method for tumor following radiation therapy. An essential core of the method is accurate estimation of complex fluctuation of time-varying periodical nature of lung tumor motion. Such estimation is achieved by using a novel multiple time-varying seasonal autoregressive (TVSAR) model in which several windows of different time-lengths are used to calculate correlation based fluctuation of periodic nature in the motion. The proposed method provides the prediction as a combination of those based on different window lengths. Multiple regression (MR), multilayer perceptron (MLP) and support vector regression (SVR) are used to combine and the prediction performances are evaluated by using clinical lung tumor motion. The proposed methods with the combined predictions showed high accurate prediction and are superior to the single different predictions. The average errors of MR, MLP, and SVR were 0.8455,0.8507, and 0.7530 mm at 0.5 s ahead, respectively. The results are clinically sufficient and thus clearly demonstrate that the proposed TVSAR with an appropriate combination method is useful for improving the prediction performance.
Dostawca treści:: Biblioteka Nauki