Real-time volume rendering of MRCP: clinical applications

2000 ◽  
Vol 10 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Emanuele Neri ◽  
Piero Boraschi ◽  
Davide Caramella ◽  
Giovanni Braccini ◽  
Roberto Gigoni ◽  
...  
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Clinical Applications

scholarly journals Clinical applications of real-time volume rendering

1995 ◽  
Author(s):  
Bradley M. Hemminger ◽  
Paul L. Molina ◽  
M. Patricia Braeuning ◽  
Frank C. Detterbeck ◽  
Thomas M. Egan ◽  
...  
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Clinical Applications

scholarly journals Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2727
Author(s):  
Hari Prasanth ◽  
Miroslav Caban ◽  
Urs Keller ◽  
Grégoire Courtine ◽  
Auke Ijspeert ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gait Analysis ◽  
Real Time ◽  
Wearable Sensors ◽  
Pressure Sensors ◽  
Clinical Applications ◽  
Performance Comparison ◽  
Heel Strike ◽  
Rule Based ◽  
Pathological Gait

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.

scholarly journals Real Time Volume Rendering

1997 ◽  
Vol 17 (Supplement1) ◽  
pp. 339-340
Author(s):  
Kazuto Kuzuu
Keyword(s):  
Real Time ◽  
Volume Rendering
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