Your browser doesn't support javascript.
Activity and environmental sensor application: Tonometry aided arrhythmia detection system
13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; 2022-October:2022-2025, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2161407
ABSTRACT
Early stage arrhythmia detection is very important to prevent progress. However, under COVID-19 hospital accessibility deeply decreased and the risk of arrhythmia raised. Thus, we attached our activity sensor and environmental sensor attached to commercial tonometry system Daeyomedi lifeplus. Tonometry system is one of the most accurate cardiovascular diseases detection system but it is very hard to make it portable. Photoplethysmogram sensors are less accurate than tonometry system but they are very small and can fit into the watch size. Environmental sensors are collecting additional data, temperature, humidity, carbon dioxide level, micro dust and Volatile Organic Compounds. Our IoT sever system collects all data from DMP lifeplus, activity sensor and environmental sensor. Processing data with implemented algorithms for service was developed as well. We successfully attached DMP lifeplus to our activity and environmental sensor. This work shows that our activity and environmental sensors can be attached to other medical system and enlarge the medical service area. © 2022 IEEE.
Palavras-chave

Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 Ano de publicação: 2022 Tipo de documento: Artigo

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 Ano de publicação: 2022 Tipo de documento: Artigo