Remote blood pressure measurement from near-infrared face images: A comparison of the accuracy by the use of first and second biological optical window

被引:0
作者
Takano, Masahito [1 ]
Nagumo, Kent [1 ]
Nanai, Yasushi [2 ]
Oiwa, Kosuke [3 ]
Nozawa, Akio [1 ]
机构
[1] Aoyama Gakuin Univ, 5-10-1 Fuchinobe,Chuo Ku, Sagamihara, Kanagawa 2525258, Japan
[2] Natl Def Acad, Yokosuka, Kanagawa 2398686, Japan
[3] Nagaoka Univ Technol, Nagaoka, Niigata 9402188, Japan
关键词
Remote blood pressure measurement; Biological optical window; Near-infrared face images; Near-infrared LED; PULSE-WAVE VELOCITY; SELECTION;
D O I
10.1016/j.bspc.2024.106570
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The near-infrared wavelength band, which is between the visible and infrared bands, is a wavelength range with high biological permeability called the "biological optical window". The depth of penetration to a living body changes depending on the wavelength of light, with the 700-1100 nm wavelength band, called the first biological optical window, and the 1000-1400 nm wavelength band, called the second biological optical window. In this study, we evaluated the effectiveness of the biological optical window for remote blood pressure measurements. Specifically, we constructed an estimation model for resting blood pressure using near-infrared face images taken at 760-1100 nm, corresponding to the first biological optical window, and at 1050-1650 nm, corresponding to the second biological optical window. Thereafter, we compared the accuracy of blood pressure estimation for each wavelength band. The results of cross-validation with 10 participants showed that the model constructed using the first biological optical window had a higher estimation accuracy than the model constructed using the second biological optical window. The root mean square error between the measured and estimated mean blood pressure values was 9.84 mmHg. These results indicate that the first biological optical window is a more effective wavelength band for remote blood pressure measurement than the second biological optical window, and can measure resting blood pressure remotely with an error of approximately 9 mmHg.
引用
收藏
页数:9
相关论文
共 36 条
[1]   Pulse Arrival Time Segmentation Into Cardiac and Vascular Intervals - Implications for Pulse Wave Velocity and Blood Pressure Estimation [J].
Beutel, Fabian ;
Van Hoof, Chris ;
Rottenberg, Xavier ;
Reesink, Koen ;
Hermeling, Evelien .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 68 (09) :2810-2820
[2]   Cuffless Estimation of Blood Pressure: Importance of Variability in Blood Pressure Dependence of Arterial Stiffness Across Individuals and Measurement Sites [J].
Butlin, Mark ;
Shirbani, Fatemeh ;
Barin, Edward ;
Tan, Isabella ;
Spronck, Bart ;
Avolio, Alberto P. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 65 (11) :2377-2383
[3]   Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera [J].
Djeldjli, Djamaleddine ;
Bousefsaf, Frederic ;
Maaoui, Choubeila ;
Bereksi-Reguig, Fethi ;
Pruski, Alain .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 64
[4]   The arterial anatomy of the eyelid: importance for reconstructive and aesthetic surgery [J].
Erdogmus, Senem ;
Govsa, Figen .
JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 2007, 60 (03) :241-245
[5]   Perfecting and extending the near-infrared imaging window [J].
Feng, Zhe ;
Tang, Tao ;
Wu, Tianxiang ;
Yu, Xiaoming ;
Zhang, Yuhuang ;
Wang, Meng ;
Zheng, Junyan ;
Ying, Yanyun ;
Chen, Siyi ;
Zhou, Jing ;
Fan, Xiaoxiao ;
Li, Shengliang ;
Zhang, Mingxi ;
Qian, Jun .
LIGHT-SCIENCE & APPLICATIONS, 2021, 10 (01)
[6]   Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time [J].
Ganti, Venu G. ;
Carek, Andrew M. ;
Nevius, Brandi N. ;
Heller, J. Alex ;
Etemadi, Mozziyar ;
Inan, Omer T. .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (06) :1926-1937
[7]   Photoacoustic imaging and photothermal therapy in the second near-infrared window [J].
Ge, Xiaoguang ;
Fu, Qinrui ;
Bai, Lin ;
Chen, Bin ;
Wang, Renjie ;
Gao, Shi ;
Song, Jibin .
NEW JOURNAL OF CHEMISTRY, 2019, 43 (23) :8835-8851
[8]   Bayesian lasso regression [J].
Hans, Chris .
BIOMETRIKA, 2009, 96 (04) :835-845
[9]   Estimation of resting blood pressure using facial thermal images by separating acute stress variations [J].
Iwashita, Yuki ;
Nagumo, Kent ;
Oiwa, Kosuke ;
Nozawa, Akio .
ARTIFICIAL LIFE AND ROBOTICS, 2021, 26 (04) :473-480
[10]   Independent component analysis for biomedical signals [J].
James, CJ ;
Hesse, CW .
PHYSIOLOGICAL MEASUREMENT, 2005, 26 (01) :R15-R39