Venipuncture Site Locator Ensc 340 Project © 2004 – Teb Medical Inc.

Dec. 15, 2004 Team Organization Ameneh Atai Balraj Mattu Ida Khodami Amir Goldan

Dec. 15, 2004 Overview Introduction Market Study Design Prior Art Questions? Demo

Dec. 15, 2004 Marketing Obesity people Unconscious people … Who else? (Raj, search for other people whose vein is hard to detect)  ID= &full=1 ID= &full=1  Use statistics in the above link

Dec. 15, 2004 System Design Hardware  Transmitter  Receiver Software  Processor

Dec. 15, 2004 System Block Diagram 1. Signal Transmission Stage 2. Signal Retrieval Stage 3. Signal Processing Stage Photosensor Filtering & Amplification Demodulator Microcontroller Output Timer Infrared LED

Dec. 15, 2004 Signal Transmission Stage Pulsating infrared beam OPB745W Reflective Object Sensor  LED laser  silicon photodetector  Eliminates detection of arteries

Dec. 15, 2004 Signal Retrieval Stage Photo-detection Demodulation

Dec. 15, 2004 Ingenious Of Our Design In processing Important fact :  Blood vessels tend to reflect 40% of near- infrared wavelengths, whereas soft tissues, exclusive of blood, reflect 65%. Use Two Adjacent sensor and detector

Dec. 15, 2004 Signal Processing Stage Microprocessor OOPIC  Built in A/D conversion  Compare two signal Find if a vein is present Choose the best vein in the scanning area

Dec. 15, 2004 Signal Processing Stage Start Digitize Data from Channel 1 (A) Digitize Data from Channel 2 (B) Is |A-B| > Threshold? NO Turn on LED Is device still on? END NO YES Turn off LED

Dec. 15, 2004 Prior Art Originality of our idea  No existing product Advanced market search  Conenhill Biomedics  Veinomed Limited Inc.

Dec. 15, 2004 Prior Arts Conenhill Biomedics uses a liquid crystal approach to locating veins and have FDA approval.

Dec. 15, 2004 Prior Art Veinomed Limited Inc.

Dec. 15, 2004 Questions?

Dec. 15, 2004 Prototype Demonstration