TY - GEN
T1 - Automatic identification for surgical instruments using UHF band passive RFID
AU - Hosaka, Ryosuke
AU - Noji, R.
N1 - Funding Information:
Author acknowledges to S. OGAWA(Kobayashi Create Co. Ltd.). This work was supported by JSPS KAKENHI Grant-in-Aid for Scientific Research (C), Grant Number 23590623 and 26460871.
Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018.
PY - 2017
Y1 - 2017
N2 - Post-operation vestigial remnant of surgical instruments is a very serious problem in the operating room. The current two-dimensional symbol system is being used to help manage this problem. However, the two-dimensional symbols of this system have to be identified one at a time, since the symbols are a sort of printed matter. An HF band passive RFID system was also proposed to help manage surgical instruments. This system also had problems in identifying the signals of a large number of surgical instruments in bulk, since the scope of its identification area as a detection area was relatively small. To improve the deficiencies of this system, a UHF band passive RFID system was developed to identify the signals of all the surgical instruments, since its identification efficiency was far better than that of the HF band RFID system. From the results of our experiment using 100 surgical instruments, all the instruments were identified in approx. 15 seconds with this new RFID system. The electrical field intensity was also kept at a low, safe level, maintaining the working integrity of any electronic device within the operating room. These results are very promising and indicate that the proposed RFID system will be an improvement to the surgical instrument management systems currently being used. This new system will also undoubtedly reduce the workload of surgical nurses, while reducing human error in the operating room.
AB - Post-operation vestigial remnant of surgical instruments is a very serious problem in the operating room. The current two-dimensional symbol system is being used to help manage this problem. However, the two-dimensional symbols of this system have to be identified one at a time, since the symbols are a sort of printed matter. An HF band passive RFID system was also proposed to help manage surgical instruments. This system also had problems in identifying the signals of a large number of surgical instruments in bulk, since the scope of its identification area as a detection area was relatively small. To improve the deficiencies of this system, a UHF band passive RFID system was developed to identify the signals of all the surgical instruments, since its identification efficiency was far better than that of the HF band RFID system. From the results of our experiment using 100 surgical instruments, all the instruments were identified in approx. 15 seconds with this new RFID system. The electrical field intensity was also kept at a low, safe level, maintaining the working integrity of any electronic device within the operating room. These results are very promising and indicate that the proposed RFID system will be an improvement to the surgical instrument management systems currently being used. This new system will also undoubtedly reduce the workload of surgical nurses, while reducing human error in the operating room.
KW - Automatic identification
KW - RFID
KW - Surgical instruments
KW - UHF band
KW - Vestigial remnant
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U2 - 10.1007/978-981-10-5122-7_265
DO - 10.1007/978-981-10-5122-7_265
M3 - Conference contribution
AN - SCOPUS:85021745618
SN - 9789811051210
T3 - IFMBE Proceedings
SP - 1061
EP - 1064
BT - EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
A2 - Eskola, Hannu
A2 - Vaisanen, Outi
A2 - Viik, Jari
A2 - Hyttinen, Jari
PB - Springer Verlag
T2 - Joint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107
Y2 - 11 June 2017 through 15 June 2017
ER -