高效心电监护仪pan - tompkins预处理算法的ASIC布局设计与空间探索

Jia Hui Lim, Y. Hau, H. T. Yew, Sreedharan Baskara Dass
{"title":"高效心电监护仪pan - tompkins预处理算法的ASIC布局设计与空间探索","authors":"Jia Hui Lim, Y. Hau, H. T. Yew, Sreedharan Baskara Dass","doi":"10.1109/IICAIET49801.2020.9257862","DOIUrl":null,"url":null,"abstract":"Cardiovascular diseases (CVDs) is the leading cause of the death globally. Ambulatory Electrocardiogram (ECG) and mobile monitoring is very important for early heart disease detection and prevention, but its measurement normally contains various types of noise which affect the analysis accuracy. Moreover, long hour ECG monitoring requires an efficient architecture to support real-time processing and low power consumption. This paper presents an application specific integrated circuit (ASIC) design of Pan-and-Tompkins ECG pre-processing algorithm which aims to remove several unwanted noise to increase analysis accuracy. The complete design flow covers high-level algorithm modelling in Matlab, followed by synthesizable design at Register Transfer Level (RTL) until logic synthesis, physical synthesis and static timing analysis to produce VLSI layout. Several power optimization techniques as well as different ASIC process technology libraries in terms of SilTerra's 180nm CMOS Logic Generic Library (CL180G) and Synopsys 32nm Generic Library (SAED32) are deployed for design-space exploration to study the design trade-off in terms of power consumption, timing performance, and the logic area usage. Results show that the clock gating technique is able to reduce 32.4% of dynamic power in design using CL180G generic library, whereas the integration of several power optimization techniques using SAED32 generic library is able to reduce 43.82% of dynamic power, 91.21% of leakage power and 91.25% of total power.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ASIC Layout Design-Space Exploration of Pan-and-Tompkins Pre-Processing Algorithm for High Efficiency Electrocardiogram Monitor\",\"authors\":\"Jia Hui Lim, Y. Hau, H. T. Yew, Sreedharan Baskara Dass\",\"doi\":\"10.1109/IICAIET49801.2020.9257862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cardiovascular diseases (CVDs) is the leading cause of the death globally. Ambulatory Electrocardiogram (ECG) and mobile monitoring is very important for early heart disease detection and prevention, but its measurement normally contains various types of noise which affect the analysis accuracy. Moreover, long hour ECG monitoring requires an efficient architecture to support real-time processing and low power consumption. This paper presents an application specific integrated circuit (ASIC) design of Pan-and-Tompkins ECG pre-processing algorithm which aims to remove several unwanted noise to increase analysis accuracy. The complete design flow covers high-level algorithm modelling in Matlab, followed by synthesizable design at Register Transfer Level (RTL) until logic synthesis, physical synthesis and static timing analysis to produce VLSI layout. Several power optimization techniques as well as different ASIC process technology libraries in terms of SilTerra's 180nm CMOS Logic Generic Library (CL180G) and Synopsys 32nm Generic Library (SAED32) are deployed for design-space exploration to study the design trade-off in terms of power consumption, timing performance, and the logic area usage. Results show that the clock gating technique is able to reduce 32.4% of dynamic power in design using CL180G generic library, whereas the integration of several power optimization techniques using SAED32 generic library is able to reduce 43.82% of dynamic power, 91.21% of leakage power and 91.25% of total power.\",\"PeriodicalId\":300885,\"journal\":{\"name\":\"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICAIET49801.2020.9257862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICAIET49801.2020.9257862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

心血管疾病是全球死亡的主要原因。动态心电图(ECG)和移动监护对于早期心脏病的检测和预防非常重要,但其测量通常包含各种类型的噪声,影响分析的准确性。此外,长时间心电监护需要高效的架构来支持实时处理和低功耗。本文提出了一种pan -汤普金斯心电预处理算法的专用集成电路设计,该算法旨在去除一些不需要的噪声以提高分析精度。完整的设计流程包括在Matlab中进行高级算法建模,然后在寄存器传输级(RTL)进行可合成设计,直到逻辑合成、物理合成和静态时序分析生成VLSI版图。针对SilTerra的180nm CMOS逻辑通用库(CL180G)和Synopsys的32nm通用库(SAED32),采用了多种功耗优化技术以及不同的ASIC工艺技术库,用于设计空间探索,以研究功耗、时序性能和逻辑面积使用方面的设计权衡。结果表明,采用CL180G通用库设计时,时钟门控技术可使动态功耗降低32.4%,而采用SAED32通用库集成多种功耗优化技术可使动态功耗降低43.82%,泄漏功耗降低91.21%,总功耗降低91.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASIC Layout Design-Space Exploration of Pan-and-Tompkins Pre-Processing Algorithm for High Efficiency Electrocardiogram Monitor
Cardiovascular diseases (CVDs) is the leading cause of the death globally. Ambulatory Electrocardiogram (ECG) and mobile monitoring is very important for early heart disease detection and prevention, but its measurement normally contains various types of noise which affect the analysis accuracy. Moreover, long hour ECG monitoring requires an efficient architecture to support real-time processing and low power consumption. This paper presents an application specific integrated circuit (ASIC) design of Pan-and-Tompkins ECG pre-processing algorithm which aims to remove several unwanted noise to increase analysis accuracy. The complete design flow covers high-level algorithm modelling in Matlab, followed by synthesizable design at Register Transfer Level (RTL) until logic synthesis, physical synthesis and static timing analysis to produce VLSI layout. Several power optimization techniques as well as different ASIC process technology libraries in terms of SilTerra's 180nm CMOS Logic Generic Library (CL180G) and Synopsys 32nm Generic Library (SAED32) are deployed for design-space exploration to study the design trade-off in terms of power consumption, timing performance, and the logic area usage. Results show that the clock gating technique is able to reduce 32.4% of dynamic power in design using CL180G generic library, whereas the integration of several power optimization techniques using SAED32 generic library is able to reduce 43.82% of dynamic power, 91.21% of leakage power and 91.25% of total power.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信