Computer-assisted diagnostic system based on analysis of rhythmic patterns of the radial artery pulse signal

1999 ◽  
Vol 33 (2) ◽  
pp. 53-55 ◽  
Author(s):  
A. A. Desova ◽  
Yu. S. Legovich ◽  
O. S. Razin
Keyword(s):  
Radial Artery ◽  
Diagnostic System ◽  
Pulse Signal ◽  
Computer Assisted

scholarly journals A new computer-assisted automated diagnostic system(ML 1100) of exercise electrocardiography.

1996 ◽  
Vol 16 (4) ◽  
pp. 369-375
Author(s):  
Kiyoshi Kawakubo ◽  
Toshiki Ohta ◽  
Haruki Musya ◽  
Tohru Hashimoto ◽  
Mutuo Kaneko ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Computer Assisted ◽  
Exercise Electrocardiography

A Computer Assisted Diagnostic System for Mass Detection

1998 ◽  
pp. 79-86 ◽  
Author(s):  
Wei Qian ◽  
Lihua Li ◽  
Laurence Clarke ◽  
Fei Mao ◽  
Robert A. Clark ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Computer Assisted ◽  
Mass Detection

scholarly journals Effects of Five Daily Activities on Harmonic Analysis of the Radial Pulse

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Pan-Jen Chen ◽  
Han-Kuei Wu ◽  
Po-Chi Hsu ◽  
Lun-Chien Lo ◽  
Hen-Hong Chang ◽  
...  
Keyword(s):  
Radial Artery ◽  
Pulse Signal ◽  
The Body ◽  
Daily Activities ◽  
Radial Pulse ◽  
Pulse Diagnosis ◽  
Before And After ◽  
Pulse Waves ◽  
High Level ◽  
Fast Fourier Analysis

All daily physiological activities have some effects on the body, and traditional Chinese medicine believes that pulse diagnosis can reflect the circulation of qi and blood throughout the body. This study aimed to explore the effects of five physiological activities, namely, sleep, exercise, ingestion, defecation, and shower, on pulse waves of the radial artery. Thirty test subjects were recruited for the study, and a wearable pulse signal measurement device was used for self-measurement of radial artery pulses before and after various physiological activities. All collected data were subjected to fast Fourier analysis, which transformed each wave from its time domain to frequency domain of 10 harmonics to describe the changes in pulse waves. The results were as follows: exercise and sleep had larger but opposite effects on the pulse waves; defecation and sleep relaxed the body and had the same trend of effect on the pulse waves. Both exercise and ingestion require energy to proceed, and both exert a burden on the body, and the pulse waves showed the same trend of changes. In contrast, shower had a little effect on the pulse waves. Preliminary observation in this study showed that relaxation of the body could increase high-level harmonics, whereas stress could increase low-level harmonics. Further studies are warranted to unravel the physiological significance of this finding.

Computer assisted uroflowmetry diagnostic system

2006 ◽  
Author(s):  
Jarosław Makal ◽  
Adam Idźkowski ◽  
Wojciech Walendziuk
Keyword(s):  
Diagnostic System ◽  
Computer Assisted

scholarly journals Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2003 ◽  
Author(s):  
Muhammad Abdullah ◽  
Muhammad Moazam Fraz ◽  
Sarah A. Barman
Keyword(s):  
Optic Disc ◽  
Hough Transform ◽  
Retinal Image ◽  
Diagnostic System ◽  
Retinal Images ◽  
Computer Assisted ◽  
Morphological Operations ◽  
Circular Hough Transform ◽  
Disc Center ◽  
Unique Method

Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection and boundary segmentation, which can be seen as the preliminary step in the development of a computer-assisted diagnostic system for glaucoma in retinal images. The proposed method is based on morphological operations, the Circular Hough transform and the Grow Cut algorithm. The morphological operators are used to enhance the optic disc and remove the retinal vasculature and other pathologies. The optic disc center is approximated using the Circular Hough transform, and the Grow Cut algorithm is employed to precisely segment the optic disc boundary. The method is quantitatively evaluated on five publicly available retinal image databases DRIVE, DIARETDB1, CHASE_DB1, DRIONS-DB, Messidor and one local Shifa Hospital Database. The method achieves an optic disc detection success rate of 100% for these databases with the exception of 99.09% and 99.25% for the DRIONS-DB, Messidor, and ONHSD databases, respectively. The optic disc boundary detection achieved an average spatial overlap of 78.6%, 85.12%, 83.23%, 85.1%, 87.93%, 80.1%, and 86.1%, respectively, for these databases. This unique method has shown significant improvement over existing methods in terms of detection and boundary extraction of the optic disc.

DIAG: A computer-assisted dermatologic diagnostic system—clinical experience and insight

1985 ◽  
Vol 12 (1) ◽  
pp. 132-143 ◽  
Author(s):  
Herbert F. Haberman ◽  
Kenneth H. Norwich ◽  
D.L. Diehl ◽  
Stephen J. Evans ◽  
Bart Harvey ◽  
...  
Keyword(s):  
Clinical Experience ◽  
Diagnostic System ◽  
Computer Assisted
Sign in / Sign up

Export Citation Format

Share Document