scholarly journals Comparative analysis of methods and model prediction performance evaluation for continuous online non-invasive quality assessment during drying of apples from two cultivars

2020 ◽  
Vol 18 ◽  
pp. 100461 ◽  
Author(s):  
Luna Shrestha ◽  
Stuart O.J. Crichton ◽  
Boris Kulig ◽  
Bernadette Kiesel ◽  
Oliver Hensel ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Comparative Analysis ◽  
Quality Assessment ◽  
Model Prediction ◽  
Prediction Performance ◽  
Non Invasive

scholarly journals Optimal Design of a Bio-Inspired Anthropocentric Shoulder Rehabilitator

2006 ◽  
Vol 3 (3) ◽  
pp. 199-208 ◽  
Author(s):  
S. K. Mustafa ◽  
G. Yang ◽  
S. H. Yeo ◽  
W. Lin
Keyword(s):  
Performance Evaluation ◽  
Shoulder Joint ◽  
Stroke Rehabilitation ◽  
Design Methodology ◽  
Anatomical Structure ◽  
Robotic Arm ◽  
Analysis And Design ◽  
Non Invasive ◽  
Performance Requirements ◽  
Human Arm

This paper presents the design of a bio-inspired anthropocentric 7-DOF wearable robotic arm for the purpose of stroke rehabilitation. The proposed arm rehabilitator synergistically utilizes the human arm structure with non-invasive kinematically under-deterministic cable-driven mechanisms to form a completely deterministic structure. It offers the advantages of being lightweight and having high dexterity. Adopting an anthropocentric design concept also allows it to conform to the human anatomical structure. The focus of this paper is on the analysis and design of the 3-DOF-shoulder module, called the shoulder rehabilitator. The design methodology is divided into three main steps: (1) performance evaluation of the cable-driven shoulder rehabilitator, (2) performance requirements of the shoulder joint based on its physiological characteristics and (3) design optimization of the shoulder rehabilitator based on shoulder joint physiological limitations. The aim is to determine a suitable configuration for the development of a shoulder rehabilitator prototype.

scholarly journals Review on automated follicle identification for polycystic ovarian syndrome

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
A A Nazarudin ◽  
Noraishikin Zulkarnain ◽  
A. Hussain ◽  
S. S. Mokri ◽  
I. N. A. M. Nordin
Keyword(s):  
Performance Evaluation ◽  
Ultrasound Imaging ◽  
Polycystic Ovarian Syndrome ◽  
Speckle Noise ◽  
Future Research ◽  
Health Treatment ◽  
Time Consumption ◽  
Non Invasive ◽  
And Performance ◽  
Ovarian Syndrome

Polycystic Ovarian Syndrome (PCOS), is a condition of the ovary consisting numerous follicles. Accurate size and number of follicles detected are crucial for treatment. Hence the diagnosis of this condition is by measuring and calculating the size and number of follicles existed in the ovary. For diagnosis, ultrasound imaging has become an effective tool as it is non-invasive, inexpensive and portable. However, the presence of speckle noise in ultrasound imaging has caused an obstruction for manual diagnosis which are high time consumption and often produce errors. Thus, image segmentation for ultrasound imaging is critical to identify follicles for PCOS diagnosis and proper health treatment. This paper presents different methods proposed and applied in automated follicle identification for PCOS diagnosis by previous researchers. In this paper, the methods and performance evaluation are identified and compared. Finally, this paper also provided suggestions in developing methods for future research.

Non-invasive evaluation of the fibrosis stage in chronic hepatitis C: A comparative analysis of nine scoring methods

2009 ◽  
Vol 45 (1) ◽  
pp. 51-59 ◽  
Author(s):  
José M. Ladero ◽  
Jaime Delkader ◽  
Luis Ortega ◽  
Cristina Fernández ◽  
María J. Devesa ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Comparative Analysis ◽  
Hepatitis C ◽  
Chronic Hepatitis C ◽  
Fibrosis Stage ◽  
Scoring Methods ◽  
Non Invasive ◽  
Invasive Evaluation
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