An In-vivo Electrical Property Based Health Monitoring Sensor
被引:0
作者:
Salman, Safa
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, Electrosci Lab, Columbus, OH 43212 USAOhio State Univ, Electrosci Lab, Columbus, OH 43212 USA
Salman, Safa
[1
]
Volakis, John L.
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, Electrosci Lab, Columbus, OH 43212 USAOhio State Univ, Electrosci Lab, Columbus, OH 43212 USA
Volakis, John L.
[1
]
机构:
[1] Ohio State Univ, Electrosci Lab, Columbus, OH 43212 USA
来源:
2013 7TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)
|
2013年
关键词:
biomedical sensor;
tissue dielectric properties;
human health monitoring;
wearable electronics;
signal to noise ratio (SNR);
DIELECTRIC-PROPERTIES;
TISSUES;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This paper introduces a new in-vivo method for continuous monitoring of deep human tissues. Specifically, a technique and an associated sensor is introduced to detect changes in the electrical properties of tissues deep into the human torso as an indicator to detect body irregularities such as lung fluid content. The method uses a set of electrodes that surround the torso. Data is collected from these electrodes at a single low frequency. An expression is also proposed that relates the collected raw signals (port scattering parameters) to the electrical properties of deep biological tissues. Of importance is that the developed relation includes constants that can be adjusted to remove interference from the skin, fat and muscle layers. Further, the constants can be calibrated to account for individual patient outer tissue layers. As such, the proposed lung monitoring sensor provides accurate dielectric constant data to assess the lung's fluid content in a continuous manner.