2020台灣生技月 Bio Taiwan 生物科技大展

2020 台灣生技月 南港展覽館

講師

NCU-Diagnostics and Biomedical Measurement Laboratory

Biomedical EcoSystem development office in Taiwan, BEST

July 24th (Fri) 21:10 - 22:40 Entrepreneur Pitch 4

NCU-Diagnostics and Biomedical Measurement Laboratory

Company Info

Name /NCUDiagnostics and Biomedical Measurement Laboratory

Address /Machinery Hall E4-454, No. 300, Zhongda Road, Zhongli District, Taoyuan City

Website /www.me.ncu.edu.tw/DAD_LAB/DASD_serve/first.htm

Presenter

Name /Min-Chun Pan

Title /Professor

Email /pan.minc@g.ncu.edu.tw

Telephone /(Work) 03-4267312

Fax /03-4254501

Mobile /0952-835936

Company Type

Others

About the Company

The Diagnostics and Biomedical Measurement (D-BioM Lab) was founded in Feb 1999 at the National Central University. Its research theme covers sensing technology, signal processing and their integration related topics. Since the early stage till now we have been investigating two-dimensional analysis of dynamic signals including transient/nonstationary signal analysis and order tracking for rotary machinery), design and modification of mechanical systems and components for enhancing their characteristics of operation, machine condition monitoring and fault diagnostics, etc. Recently the study more focuses on the fields of medical devices design and implementation, and intelligent machine / manufacturing monitoring (Industry 4.0).

Brief Description of main products or services

Regarding medical devices design and implementation at our lab, three main devices include (i) implant osseointegration stability assessment devices, (ii) near infrared diffuse optical imaging bench, (iii) IMU-based wearable devices for rehab engineering and intelligent life.

The breaking-through technique and device demonstrated here aims to develop individual digital twin models for the assessed structures such as implants. Through the developed internet of inspection and assessment device the digital twin model of specific implant structure can be constructed by using daily collected data besides assessing the osseointegration status of varied stages. The built model may trace the subject’s osseointegration changing. Additionally, the IoT-embedded device can also be applied in a production line for the health inspection of taps and drills. With this device, we expect to provide more information about the implant stability clinically to assist surgeons in effectively evaluating the stability of the implant after surgery, and to establish the digital twin model for patients at following stages after implantation. The above procedure also applies to the structure inspection for cutting tools like taps and drills on an industrial production line.

Contact Person

Name /Tsung-Hsuan SU

Email /qoo97531@gmail.com

Phone /0971-301434