Abstract
We have created a bioimpedance probe designed to detect subtle changes in human cervical tissue composition in vivo, and thereby detect the onset of cervical remodeling in a non-invasive manner sooner than existing clinical methods allow. Our cervical bioimpedance measurement device, which can be used during a routine pelvic examination, is composed of a contoured probe with disposable tip and, within the probe's handle, a bioimpedance sensor equipped with an integrated chip capable of generating sinusoidal voltage of varying frequencies. A constant force spring assures consistent measurements through a range of contact forces applied. An activation switch allows the operator to control the application of current. The sensor can be synchronized with a computer data storage and analysis system, which interfaces with the device. With the probe placed in contact with a collagen gels of varying concentration, the relationship between measured bioimpedance and collagen concentration is verified to be positive exponential (R 2 = 0.94) and repeatability in saline solution showed that measurements varied by less than ±10% over 20 trials. Finally, a variety of user-applied forces showed that impedance values plateau when forces exceed 1N.
Original language | English (US) |
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Pages (from-to) | 2368-2372 |
Number of pages | 5 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 26 IV |
State | Published - Dec 1 2004 |
Externally published | Yes |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Keywords
- Bioimpedance
- Cervical ripeness
- Cervical tissue composition
- Human uterine cervix
- Impedance measurement
- Linear tetrapolar electrodes
- Non-invasive tissue analysis
- Pregnancy
- Preterm labor
- Probe
- Tetrapolar
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics