Portable piezoelectric cardiac abnormality detection
نویسندگان
چکیده
منابع مشابه
Computer Aided Abnormality Detection for Kidney on FPGA Based IoT Enabled Portable Ultrasound Imaging System
Purpose: Ultrasound scanning has been widely used for preliminary diagnosis as it is non-invasive and has good scope for the doctors to analyze many diseases. Due to lack of trained radiologists in remote areas, tele-radiology is used to diagnose the scanned ultrasound data. Availability of online radiographers and having communication facility for the portable ultrasound are issues in tele-rad...
متن کاملAbnormality Detection in a Landing Operation Using Hidden Markov Model
The air transport industry is seeking to manage risks in air travels. Its main objective is to detect abnormal behaviors in various flight conditions. The current methods have some limitations and are based on studying the risks and measuring the effective parameters. These parameters do not remove the dependency of a flight process on the time and human decisions. In this paper, we used an HMM...
متن کاملPiezoelectric Generator Harvesting Bike Vibrations Energy to Supply Portable Devices
With the decrease in energy consumption of portable electronic devices, the concept of harvesting renewable energy in human surrounding arouses a renewed interest. In this context, we have developed a piezoelectric generator that harvests mechanical vibrations energy available on a bicycle. Embarked piezoelectric transducer, which is an electromechanical converter, undergoes mechanical vibratio...
متن کاملEarly Detection of Fetal Abnormality
After introduction of high-frequency vaginal transducer, transvaginal two-dimensional ultrasound has established a field of sonoembryology and most of the major fetal abnormalities have been detectable in the first trimester. Three-dimensional ultrasound adds an objective and comprehensive information to two-dimensional sonographic findings.
متن کاملAbnormality Detection in Retinal Images
The implementation of data mining techniques in the medical area has generated great interest because of its potential for more efficient, economic and robust performance when compared to physicians. In this paper, we focus on the implementation of Multiple-Instance Learning (MIL) in the area of medical image mining, particularly to hard exudates detection in retinal images from diabetic patien...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Alexandria Engineering Journal
سال: 2019
ISSN: 1110-0168
DOI: 10.1016/j.aej.2019.09.008