Sensors and data processing techniques for future medicine

Sensors and data processing techniques for future medicine

Varieties of innovative and high precision sensors have been developed and became available for versatile application. Such sensors, when combined with data processing techniques of artificial intelligence, can make a huge impact on healthcare technologies. That is, a system can screen symptoms such...

Full description

Saved in:
Bibliographic Details
Main Authors: Matsui, Takemi, Suzuki, Satoshi, Sun, Guanghao, Kwee, Eddie Ng Yin
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2019
Subjects:
Data Processing
DRNTU::Engineering::Mechanical engineering
Sensors
Online Access:https://hdl.handle.net/10356/81396
http://hdl.handle.net/10220/47472
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-81396
record_format dspace
spelling sg-ntu-dr.10356-813962023-03-04T17:14:38Z Sensors and data processing techniques for future medicine Matsui, Takemi Suzuki, Satoshi Sun, Guanghao Kwee, Eddie Ng Yin School of Mechanical and Aerospace Engineering Data Processing DRNTU::Engineering::Mechanical engineering Sensors Varieties of innovative and high precision sensors have been developed and became available for versatile application. Such sensors, when combined with data processing techniques of artificial intelligence, can make a huge impact on healthcare technologies. That is, a system can screen symptoms such as infection, cardiovascular failure, and major depressive disorders, just as experienced physicians diagnose with stethoscope and percussion. Published version 2019-01-16T02:19:46Z 2019-12-06T14:30:02Z 2019-01-16T02:19:46Z 2019-12-06T14:30:02Z 2018 Journal Article Matsui, T., Suzuki, S., Sun, G., & Kwee, E. N. Y. (2018). Sensors and data processing techniques for future medicine. Journal of Sensors, 2018, 1210609-. doi: 10.1155/2018/1210609 1687-725X https://hdl.handle.net/10356/81396 http://hdl.handle.net/10220/47472 10.1155/2018/1210609 en Journal of Sensors © 2018 Takemi Matsui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Data Processing
DRNTU::Engineering::Mechanical engineering
Sensors
spellingShingle Data Processing
DRNTU::Engineering::Mechanical engineering
Sensors
Matsui, Takemi
Suzuki, Satoshi
Sun, Guanghao
Kwee, Eddie Ng Yin
Sensors and data processing techniques for future medicine
description Varieties of innovative and high precision sensors have been developed and became available for versatile application. Such sensors, when combined with data processing techniques of artificial intelligence, can make a huge impact on healthcare technologies. That is, a system can screen symptoms such as infection, cardiovascular failure, and major depressive disorders, just as experienced physicians diagnose with stethoscope and percussion.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Matsui, Takemi
Suzuki, Satoshi
Sun, Guanghao
Kwee, Eddie Ng Yin
format Article
author Matsui, Takemi
Suzuki, Satoshi
Sun, Guanghao
Kwee, Eddie Ng Yin
author_sort Matsui, Takemi
title Sensors and data processing techniques for future medicine
title_short Sensors and data processing techniques for future medicine
title_full Sensors and data processing techniques for future medicine
title_fullStr Sensors and data processing techniques for future medicine
title_full_unstemmed Sensors and data processing techniques for future medicine
title_sort sensors and data processing techniques for future medicine
publishDate 2019
url https://hdl.handle.net/10356/81396
http://hdl.handle.net/10220/47472
_version_ 1759854054754746368

Similar Items