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New method for identifying abnormal milling states of an otological drill.

Li Y, Li X, Feng G, Gao Z, Shen P - Med Devices (Auckl) (2015)

Bottom Line: Five surgeons were invited to perform experiments on calvarial bones.The average recognition rate for entanglement of the drill bit with a cotton swab was 92%, with only 2% of normal millings being identified as milling faults.The method presented here can be adapted to the needs of the individual surgeon and reliably identify milling faults.

View Article: PubMed Central - PubMed

Affiliation: School of Automation and Electrical Engineering, University of Science and Technology, Beijing, People's Republic of China.

ABSTRACT
Surgeons are continuing to strive toward achieving higher quality minimally invasive surgery. With the growth of modern technology, intelligent medical devices are being used to improve the safety of surgery. Milling beyond the bone tissue wall is a common abnormal milling state in ear surgery, as well as entanglement of the drill bit with the cotton swab, which will do harm to the patient's encephalic tissues. Various methods have been investigated by engineers and surgeons in an effort to avoid this type of abnormal milling state during surgery. This paper outlines a new method for identifying these two types of abnormal milling states. Five surgeons were invited to perform experiments on calvarial bones. The average recognition rate for otological drill milling through a bone tissue wall was 93%, with only 2% of normal millings being incorrectly identified as milling faults. The average recognition rate for entanglement of the drill bit with a cotton swab was 92%, with only 2% of normal millings being identified as milling faults. The method presented here can be adapted to the needs of the individual surgeon and reliably identify milling faults.

No MeSH data available.


Comparison of i, Fj and kt during normal milling.Notes: The data in this figure were collected in the process of normal milling. The dimension of kt is determined according to equation (10).
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f7-mder-8-207: Comparison of i, Fj and kt during normal milling.Notes: The data in this figure were collected in the process of normal milling. The dimension of kt is determined according to equation (10).

Mentions: The curve of kt during normal milling is shown in Figure 7. We can see easily that when Fj increases rapidly, kt will suddenly decrease, and when Fj decreases rapidly, kt will suddenly increase. As the increasing speed of Fj at the beginning of each milling is higher than its decreasing speed at the end, the amplification of kt at the beginning is larger than its damp at the end of each milling.


New method for identifying abnormal milling states of an otological drill.

Li Y, Li X, Feng G, Gao Z, Shen P - Med Devices (Auckl) (2015)

Comparison of i, Fj and kt during normal milling.Notes: The data in this figure were collected in the process of normal milling. The dimension of kt is determined according to equation (10).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4472131&req=5

f7-mder-8-207: Comparison of i, Fj and kt during normal milling.Notes: The data in this figure were collected in the process of normal milling. The dimension of kt is determined according to equation (10).
Mentions: The curve of kt during normal milling is shown in Figure 7. We can see easily that when Fj increases rapidly, kt will suddenly decrease, and when Fj decreases rapidly, kt will suddenly increase. As the increasing speed of Fj at the beginning of each milling is higher than its decreasing speed at the end, the amplification of kt at the beginning is larger than its damp at the end of each milling.

Bottom Line: Five surgeons were invited to perform experiments on calvarial bones.The average recognition rate for entanglement of the drill bit with a cotton swab was 92%, with only 2% of normal millings being identified as milling faults.The method presented here can be adapted to the needs of the individual surgeon and reliably identify milling faults.

View Article: PubMed Central - PubMed

Affiliation: School of Automation and Electrical Engineering, University of Science and Technology, Beijing, People's Republic of China.

ABSTRACT
Surgeons are continuing to strive toward achieving higher quality minimally invasive surgery. With the growth of modern technology, intelligent medical devices are being used to improve the safety of surgery. Milling beyond the bone tissue wall is a common abnormal milling state in ear surgery, as well as entanglement of the drill bit with the cotton swab, which will do harm to the patient's encephalic tissues. Various methods have been investigated by engineers and surgeons in an effort to avoid this type of abnormal milling state during surgery. This paper outlines a new method for identifying these two types of abnormal milling states. Five surgeons were invited to perform experiments on calvarial bones. The average recognition rate for otological drill milling through a bone tissue wall was 93%, with only 2% of normal millings being incorrectly identified as milling faults. The average recognition rate for entanglement of the drill bit with a cotton swab was 92%, with only 2% of normal millings being identified as milling faults. The method presented here can be adapted to the needs of the individual surgeon and reliably identify milling faults.

No MeSH data available.