Estimation of Systolic and Diastolic Blood Pressure in a Non-Contact Method Using Microwaves

Miyu Matsuda, Jiang Liu, Taka Aki Nakada, Shigeru Shimamoto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

According to the World Health Organization, an estimated 1.28 billion adults aged 30-79 years worldwide have hypertension. 46% of adults with hypertension are unaware that they have the condition. The only way to know is to get your blood pressure checked. Typically, we use a blood pressure monitor (cuff) at home. However, this method can be uncomfortable and stressful. This paper proposes a non-contact method for estimating blood pressure using 2.4GHz microwave signals. We conduct experiments aimed at capturing the pulse waveform through the reflection of microwave signals. In our previous paper, we only estimated the SBP and focused on increasing the number of features value. In this paper, we estimate both SBP and DBP, and clarify which feature values are important to estimate blood pressure. Also, we attempt the real-time detection of blood pressure. Our studies show that both SBP and DBP can be estimated at a chest. This paper is to achieve predicted blood pressure values that meet the accuracy standards defined by the Japanese Industrial Standards (JIS).

本文言語English
ホスト出版物のタイトル2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
出版社Institute of Electrical and Electronics Engineers Inc.
ページ638-639
ページ数2
ISBN(電子版)9798350304572
DOI
出版ステータスPublished - 2024
イベント21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States
継続期間: 2024 1月 62024 1月 9

出版物シリーズ

名前Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN(印刷版)2331-9860

Conference

Conference21st IEEE Consumer Communications and Networking Conference, CCNC 2024
国/地域United States
CityLas Vegas
Period24/1/624/1/9

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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