TY - GEN
T1 - Estimation of Systolic and Diastolic Blood Pressure in a Non-Contact Method Using Microwaves
AU - Matsuda, Miyu
AU - Liu, Jiang
AU - Nakada, Taka Aki
AU - Shimamoto, Shigeru
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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).
AB - 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).
KW - Diastolic blood pressure
KW - Systolic blood pressure
KW - machine learning
KW - microwave
KW - non-contact
KW - pulse wave
KW - real-time detection
UR - http://www.scopus.com/inward/record.url?scp=85189206698&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85189206698&partnerID=8YFLogxK
U2 - 10.1109/CCNC51664.2024.10454806
DO - 10.1109/CCNC51664.2024.10454806
M3 - Conference contribution
AN - SCOPUS:85189206698
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
SP - 638
EP - 639
BT - 2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE Consumer Communications and Networking Conference, CCNC 2024
Y2 - 6 January 2024 through 9 January 2024
ER -