A Pilot Study on Continuous Breaststroke Phase Recognition with Fast Training Based on Lower-Limb Inertial Signals

2019 ◽  
Author(s):  
Enhao Zheng ◽  
Zhendong Zhang ◽  
Jingeng Mai ◽  
Qining Wang ◽  
Hong Qiao
Keyword(s):  
Pilot Study ◽  
Lower Limb ◽  
Fast Training ◽  
Phase Recognition

627-P: Efficacy and Safety of Allogeneic Platelet Rich Plasma in Treatment of Diabetic Patients with Lower Limb Ulcers: A Pilot Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 627-P
Author(s):  
WUQUAN DENG ◽  
MIN HE ◽  
BING CHEN ◽  
YU MA ◽  
DAVID ARMSTRONG ◽  
...  
Keyword(s):  
Pilot Study ◽  
Lower Limb ◽  
Platelet Rich Plasma ◽  
Diabetic Patients ◽  
Efficacy And Safety

scholarly journals Effects of physical therapy on hyaluronan clearance and volume regulating hormones in lower limb lymphedema patients: A pilot study

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042199848
Author(s):  
Bianca Brix ◽  
Gert Apich ◽  
Andreas Rössler ◽  
Sebastian Walbrodt ◽  
Nandu Goswami
Keyword(s):  
Pilot Study ◽  
Lower Limb ◽  
Time Course ◽  
Plasma Renin ◽  
Lymphatic Drainage ◽  
Invasive Treatment ◽  
Lymphatic Flow ◽  
Compression Bandaging ◽  
Complete Decongestive Therapy ◽  
Total Plasma Protein

Lymphedema is manifested as a chronic swelling arising due to stasis in the lymphatic flow. No cure is currently available. A non-invasive treatment is a 3 week complete decongestive therapy (CDT), including manual lymphatic drainage and compression bandaging to control swelling. As CDT leads to mobilization of several liters of fluid, effects of CDT on hyaluronan clearance (maker for lymphatic outflow), volume regulating hormones, total plasma protein as well as plasma density, osmolality and selected electrolytes were investigated. In this pilot study, we assessed hyaluronan and volume regulating hormone responses from plasma samples of nine patients (three males, six females, aged 55 ± 13 years) with lower limb lymphedema stage II-III, before - and after - CDT. A paired non-parametric test (Wilcoxon) was used to assess hormonal and plasma volume changes. Correlation was tested using Spearman’s correlation. The main findings of this novel study are that lymphedema patients lost volume and weight after therapy. Hyaluronic acid did not significantly change pre- compared to post-CDT. Aldosterone increased significantly after therapy, while plasma renin activity increased, but not significantly. Plasma total protein, density, osmolality and sodium and chloride did not show differences after CDT. To our knowledge, no study has previously investigated the effects of CDT on volume regulating hormones or electrolytes. To identify the time-course of volume regulating hormones and lymphatic flow changes induced by CDT, future studies should assess these parameters serially over 3 weeks of therapy.

scholarly journals Relationship between Flow-mediated Vasodilation and Lower Limb Venous Stasis: A Prospective Pilot Study

2019 ◽  
Vol 59 (5) ◽  
pp. 29-32
Author(s):  
Eisaku Ito ◽  
Naoki Toya ◽  
Ryosuke Nishie ◽  
Yuri Murakami ◽  
Soichiro Fukushima ◽  
...  
Keyword(s):  
Pilot Study ◽  
Lower Limb ◽  
Venous Stasis ◽  
Prospective Pilot Study ◽  
Flow Mediated Vasodilation

scholarly journals Initial Operating Room Experience with Digital Variance Angiography in Carbon Dioxide-Assisted Lower Limb Interventions: A Pilot Study

2020 ◽  
Vol 43 (8) ◽  
pp. 1226-1231 ◽  
Author(s):  
Marcell Gyánó ◽  
Csaba Csobay-Novák ◽  
Márton Berczeli ◽  
István Góg ◽  
János P. Kiss ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Pilot Study ◽  
Operating Room ◽  
Lower Limb

scholarly journals Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6533
Author(s):  
Xinxin Li ◽  
Zuojun Liu ◽  
Xinzhi Gao ◽  
Jie Zhang
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Knee Joint ◽  
Lower Limb ◽  
Joint Angle ◽  
Support Vector ◽  
Swarm Optimization ◽  
Knee Joint Angle ◽  
Phase Recognition ◽  
Lower Limb Amputees

A novel method for recognizing the phases in bicycling of lower limb amputees using support vector machine (SVM) optimized by particle swarm optimization (PSO) is proposed in this paper. The method is essential for enhanced prosthetic knee joint control for lower limb amputees in carrying out bicycling activity. Some wireless wearable accelerometers and a knee joint angle sensor are installed in the prosthesis to obtain data on the knee joint and ankle joint horizontal, vertical acceleration signal and knee joint angle. In order to overcome the problem of high noise content in the collected data, a soft-hard threshold filter was used to remove the noise caused by the vibration. The filtered information is then used to extract the multi-dimensional feature vector for the training of SVM for performing bicycling phase recognition. The SVM is optimized by PSO to enhance its classification accuracy. The recognition accuracy of the PSO-SVM classification model on testing data is 93%, which is much higher than those of BP, SVM and PSO-BP classification models.

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