Passive Self Resonant Skin Patch Sensor to Monitor Cardiac Intraventricular Stroke Volume Using Electromagnetic Properties of Blood

被引:13
作者
Alruwaili, Fayez [1 ]
Cluff, Kim [1 ]
Griffith, Jacob [1 ]
Farhoud, Hussam [2 ]
机构
[1] Wichita State Univ, Biomed Engn Dept, Wichita, KS 67260 USA
[2] Heartland Cardiol, Wichita, KS 67226 USA
基金
美国国家航空航天局;
关键词
RF resonant sensor; stroke volume; wearable sensor; point-of-care; 3-DIMENSIONAL ECHOCARDIOGRAPHY; INTENSIVE-CARE; HEALTH-CARE; ACCURACY;
D O I
10.1109/JTEHM.2018.2870589
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper focuses on the development of a passive, lightweight skin patch sensor that can measure fluid volume changes in the heart in a non-invasive, point-of-care setting. The wearable sensor is an electromagnetic, self-resonant sensor configured into a specific pattern to formulate its three passive elements (resistance, capacitance, and inductance). In an animal model, a bladder was inserted into the left ventricle (LV) of a bovine heart, and fluid was injected using a syringe to simulate stoke volume (SV). In a human study, to assess the dynamic fluid volume changes of the heart in real time, the sensor frequency response was obtained from a participant in a 30 degrees head-up tilt (HUT), 10 degrees HUT, supine, and 10 degrees head-down tilt positions over time. In the animal model, an 80-mL fluid volume change in the LV resulted in a downward frequency shift of 80.16 kHz. In the human study, there was a patterned frequency shift over time which correlated with ventricular volume changes in the heart during the cardiac cycle. Statistical analysis showed a linear correlation R-2 = 0.98 and 0.87 between the frequency shifts and fluid volume changes in the LV of the bovine heart and human participant, respectively. In addition, the patch sensor detected heart rate in a continuous manner with a 0.179% relative error compared to electrocardiography. These results provide promising data regarding the ability of the patch sensor to be a potential technology for SV monitoring in a non-invasive, continuous, and non-clinical setting.
引用
收藏
页数:9
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