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.com
Volume 11
Journal of Proteomics & Bioinformatics
ISSN: 0974-276X
Structural Biology 2018
September 24-26, 2018
September 24-26, 2018 | Berlin, Germany
14
th
International Conference on
Structural Biology
Quantification of used drug releasing thread by mechanical surgical sewing machine
Sang Jin Yoon
1
and
Jae Hoon Lee
2
1
Gil Hospital, South Korea
2
Heimbiotek, Inc, South Korea
T
here are so many patents concerning drug releasing thread. The main reason may be quantification of used thread is
very difficult. The amount of used thread should be quantified because the thread is actually the drug that should be
quantified. Measuring the amount of used thread is inconvenient and bothersome as for doctor performing surgery. If we use
mechanical digital sewing machine instead analogue human’s hand sewing, measuring the amount of used thread is very easy.
We performed animal study using surgical sewing machine. First machine is nearly the common industrial sewing machine
with little modification. Second machine is handpiece type surgical sewing machine. All 4 animals were alive after instinct
surgery. Though we don’t develop sensor which can detect the length or weight of the used thread, theoretically measuring
the stroke length of needle or measuring the weight of thread is so easy. Till now surgical sewing machine is not introduced in
surgical area. But some day digital surgical sewing machine may replace analogue humans’ hand sewing just as in industrial
area since industrial revolution area.
Biography
Sang Jin Yoon, male, urologist. professor of Gil hospital Gachon University and CEO of RIMSCIENCE (Ltd). He is working also for the government as a consultant
concerning drug and instruments. He presented seven new surgical techniques in AUA and WCE. One of them is single port laparoscopy presented in 2002 WCE
before single port surgery was introduced. Now he achieves 9 international patents and over 50 national patents., such as gesture recognition surgical robot,
surgical sewing machine, intelligent surgical needle system and intelligent drill and driver system.
Sang Jin Yoon et al., J Proteomics Bioinform 2018, Volume 11
DOI: 10.4172/0974-276X-C2-116