Precision of EM Simulation Based Wireless Location Estimation in Multi-Sensor Capsule Endoscopy
| Autor: | Pranay Swar, Ain-Ul Aisha, Umair Khan, Yunxing Ye, Kaveh Pahlavan |
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| Rok vydání: | 2018 |
| Předmět: |
lcsh:Medical technology
Computer science Biomedical Engineering 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics computer.software_genre 01 natural sciences Article Time of arrival Sensor array 0202 electrical engineering electronic engineering information engineering TOA location limits bounds two-way location 010401 analytical chemistry 020206 networking & telecommunications General Medicine Transmitter power output 0104 chemical sciences Simulation software lcsh:R855-855.5 Transmission (telecommunications) lcsh:R858-859.7 Probability distribution Endoscopy pill signal probability Antenna (radio) computer Algorithm Wireless sensor network 3D |
| Zdroj: | IEEE Journal of Translational Engineering in Health and Medicine IEEE Journal of Translational Engineering in Health and Medicine, Vol 6, Pp 1-11 (2018) |
| ISSN: | 2168-2372 |
| DOI: | 10.1109/jtehm.2018.2818177 |
| Popis: | In this paper, we compute and examine two-way localization limits for an RF endoscopy pill as it passes through an individuals gastrointestinal (GI) tract. We obtain finite-difference time-domain and finite element method-based simulation results position assessment employing time of arrival (TOA). By means of a 3-D human body representation from a full-wave simulation software and lognormal models for TOA propagation from implant organs to body surface, we calculate bounds on location estimators in three digestive organs: stomach, small intestine, and large intestine. We present an investigation of the causes influencing localization precision, consisting of a range of organ properties; peripheral sensor array arrangements, number of pills in cooperation, and the random variations in transmit power of sensor nodes. We also perform a localization precision investigation for the situation where the transmission signal of the antenna is arbitrary with a known probability distribution. The computational solver outcome shows that the number of receiver antennas on the exterior of the body has higher impact on the precision of the location than the amount of capsules in collaboration within the GI region. The large intestine is influenced the most by the transmitter power probability distribution. With its accuracy approaching the same range as traditional endoscopy, wireless endoscopy can be used as a viable, more comfortable alternative in the not too distant future. We reveal new, accurate localization techniques for wireless capsule endoscopy. |
| Databáze: | OpenAIRE |
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