scholarly journals Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications

Author(s):  
Sébastien Ourselin ◽  
Radu Stefanescu ◽  
Xavier Pennec
Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2727
Author(s):  
Hari Prasanth ◽  
Miroslav Caban ◽  
Urs Keller ◽  
Grégoire Courtine ◽  
Auke Ijspeert ◽  
...  

Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, reliable, affordable, and wearable sensors have enabled integration into clinical applications as well as use during activities of daily living. Real-time gait analysis is key to the development of gait rehabilitation techniques and assistive devices such as neuroprostheses. This article presents a systematic review of wearable sensors and techniques used in real-time gait analysis, and their application to pathological gait. From four major scientific databases, we identified 1262 articles of which 113 were analyzed in full-text. We found that heel strike and toe off are the most sought-after gait events. Inertial measurement units (IMU) are the most widely used wearable sensors and the shank and foot are the preferred placements. Insole pressure sensors are the most common sensors for ground-truth validation for IMU-based gait detection. Rule-based techniques relying on threshold or peak detection are the most widely used gait detection method. The heterogeneity of evaluation criteria prevented quantitative performance comparison of all methods. Although most studies predicted that the proposed methods would work on pathological gait, less than one third were validated on such data. Clinical applications of gait detection algorithms were considered, and we recommend a combination of IMU and rule-based methods as an optimal solution.


1995 ◽  
Author(s):  
Bradley M. Hemminger ◽  
Paul L. Molina ◽  
M. Patricia Braeuning ◽  
Frank C. Detterbeck ◽  
Thomas M. Egan ◽  
...  

2001 ◽  
Author(s):  
Jacqueline N. Welch ◽  
Jeremy A. Johnson ◽  
Michael R. Bax ◽  
Rana Badr ◽  
Sam So ◽  
...  

2008 ◽  
Author(s):  
Francesco Faita ◽  
Vincenzo Gemignani ◽  
Elisabetta Bianchini ◽  
Chiara Giannarelli ◽  
Lorenzo Ghiadoni ◽  
...  

Author(s):  
Hiroaki Ishikawa ◽  
Hiroya Yamada ◽  
Kanako Kondo ◽  
Takeru Ota ◽  
Mirai Yamazaki ◽  
...  

Background MicroRNAs are present not only in exosomes but also in high-density lipoprotein (HDL) and have the potential as biomarkers for various diseases. Various purification methods have been developed to quantify HDL-miRNAs; however, they are unsuitable for clinical applications. Therefore, we aimed to establish a simpler analytical method to quantify HDL-miRNAs for clinical applications. Methods We purified HDL fraction from pooled plasma using a three-step protocol consisting of ultracentrifugation, phosphotungstic acid/MgCl2 precipitation and desalting/buffer exchange followed by the quantification of HDL-miRNAs by quantitative real-time PCR. In order to establish a method to quantify HDL-miRNAs by quantitative real-time PCR, we prepared standard curves for miR-223 and miR-92. The HDL-miRNAs of 10 volunteers were assessed. Results Exosomes and LDL were not detected in the purified HDL fraction. Furthermore, we confirmed that only HDL was purified and that the HDL recovery rate of our method was at least approximately 50%. The threshold cycle values of miR-223, miR-92, miR-146a and miR-150 in the same subject were 32.11 ± 0.58, 32.50 ± 0.35, 34.30 ± 0.70 and 34.91 ± 0.77, respectively ( n = 10). The coefficient of variation values for these miRNAs were 1.08–2.21%. In addition, the standard curve for the quantitative analysis of miRNAs showed high linearity (30–30,000 copies/ μL) with a correlation coefficient of >0.99. The concentrations of HDL-miR-223 and HDL-miR-92 in the plasma of 10 subjects were 1.98 ± 0.32 and 0.90 ± 0.14 copies/mL (×104). Conclusions We established a simple method for quantifying HDL-miRNAs and improved the sample processing capacity compared with conventional methods.


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