Residential College | false |
Status | 已發表Published |
A Multiprocessing Framework for Heterogeneous Biomedical Embedded Systems with the Proposal of a Finite State Machine-Based Architecture | |
Tian, Xiaohe; Vai, Mang I. | |
2022-08-10 | |
Conference Name | 3rd Conference on Modern Management Based on Big Data, MMBD 2022 |
Source Publication | Frontiers in Artificial Intelligence and Applications |
Volume | 352 |
Pages | 320-327 |
Conference Date | 15 August 2022through 18 August 2022 |
Conference Place | Seoul |
Abstract | The applications of heterogeneous embedded systems for biomedical engineering are promising, as quick response of biomedical systems is often required due to the life-saving nature of biomedical engineering, and multiple devices with completely different cores and designs can be involved in a single patient. In this paper, we propose a multiprocessing framework and then, with regard to the framework, we propose an architecture for heterogeneous embedded systems that uses finite state machines (FSMs). A multithreading method on an electrocardiogram (ECG) software is implemented as the verification of our framework. |
Keyword | Finite State Machine Heterogeneous Embedded Systems Multiprocessing Framework |
DOI | 10.3233/FAIA220113 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85138229085 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology |
Corresponding Author | Vai, Mang I. |
Affiliation | Faculty of Science, University of Macau, Macao |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Tian, Xiaohe,Vai, Mang I.. A Multiprocessing Framework for Heterogeneous Biomedical Embedded Systems with the Proposal of a Finite State Machine-Based Architecture[C], 2022, 320-327. |
APA | Tian, Xiaohe., & Vai, Mang I. (2022). A Multiprocessing Framework for Heterogeneous Biomedical Embedded Systems with the Proposal of a Finite State Machine-Based Architecture. Frontiers in Artificial Intelligence and Applications, 352, 320-327. |
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