Biomedical Engineering and Bioengineering Commons^™

Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil

Publications and Research

Diffuse Optical Tomography (DOT) and Optical Spectroscopy using near-infrared (NIR) diffused light has demonstrated great potential for the initial diagnosis of tumors and in the assessment of tumor vasculature response to neoadjuvant chemotherapy. The aims of this project are 1) to test the different types of LEDs in the near-infrared range, and design the driving circuit, and test the modulation of LEDs at different frequencies; 2) to test the APDs as a detector, and build the receiver system and compare efficiency with pre-built systems. In this project, we are focusing on creating a low-cost infrared transmission system for tumor and …

Advanced Design And Fabrication Of Prosthetic And Medical Devices, Gaffar Gailani, Andy S. Zhang, Yu Wang, Sidi Berri

Publications and Research

The department of Mechanical Engineering and Industrial Design Technology (MEIDT) at City Tech is seeking to strengthening the skills of its students in manufacturing and design to respond to the urgent needs of the manufacturing industry in general and the prosthetic and medical devices (P&MD) industry in particular to high-skilled engineers and technicians and to provide a national model for advanced technology education. Medical Devices will include: (a) Surgical and Medical Instruments; (b) Surgical Appliances and Supplies; and (c) Dental Equipment and Supplies. The educational merit of the project is that it motivates students to do engineering rather than studying …

The Modeling, Design, Fabrication, And Application Of Biosensor Based On Electric Cell-Substrate Impedance Sensing (Ecis) Technique In Environmental Monitoring, Xudong Zhang, William Wang, Sunghoon Jang

Publications and Research

In this research, the modeling, design, fabrication, and application of ECIS sensors in environmental monitoringare studied. The ECIS sensors are able to qualify the water toxicity through measuring the cell impedance. A novel mathematical model is proposed to analyze the distribution of electric potential and current of ECIS. This mathematical model is validated by experimental data and can be used to optimize the dimension of ECIS electrodes in order to satisfy environmental monitors. The detection sensitivity of ECIS sensors is analyzed by the mathematical model and experimental data. The simulated and experimental results show that ECIS sensors with smaller radius …

The Application Of Electric Cell-Substrate Impedance Sensing (Ecis) Biosensors, Xudong Zhang, Sunghoon Jang

Publications and Research

Electric cell-substrate impedance sensing (ECIS) is a label-free and non-invasive technique for analyzing the activities and morphologies of cells. The ECIS sensors are able to measure the impedance spectroscopy of cells attaching on the sensor substrates. The cell activities and morphologies influence the measure impedance directly. Traditional toxicity analysis has complicated processes compared to biosensor-based analysis. In this study, the toxicity analysis was performed with biosensor based on ECIS technique. The experimental results show that the ECIS sensor is able to quickly distinguish the toxic and non-toxic substance.

Impoved Hardware Design Of Iot Prosthetic Device, Yu Wang, Warren Hunter, Xiaolin Chen, Housney Ahmed, Haneefah Safo

Publications and Research

Our previous IoT based prosthetic arm prototype used servo motors to control finger movement through an Arduino Mega, which is connected to the muscle, pulse, and temperature sensors. The Arduino Mega was also connected to a Raspberry Pi 3 model B to transfer data from/to an online web application. One major limitation encountered during testing this prosthetic device was the space occupied by these components, which makes the device bulky. In addition, these servo motors cannot control the movement of the prosthetic device precisely. In this paper, we propose to improve on the existing prosthetic limb prototype by transitioning the …

Review Of Emerging Approaches In Non- Or Minimally Invasive Glucose Monitoring And Their Application To Physiological Human Body Fluids, Sunghoon Jang, Chen Xu

Publications and Research

The frequent blood glucose monitoring by the diabetics and physicians is a very essential step in the management of the diabetes because this devastating disease can lead the patients to blindness, kidney disease, nervous & circulatory system disease, limb amputations, stroke and cardiovascular disease (CVD). There have been numerous attempts to develop viable painless non- or minimally invasive blood glucose monitoring techniques over the last five decades in order to replace all existing methods of home blood glucose monitoring require drawing a blood sample by piercing the skin. This review describes the principles of two main emerging general technologies such …

The Influence Of The Electrode Dimension On The Detection Sensitivity Of Electric Cell–Substrate Impedance Sensing (Ecis) And Its Mathematical Modeling, Xudong Zhang, William Wang, Anis Nurashikin Nordin, Fang Li, Sunghoon Jang, Ioana Voiculescu

Publications and Research

Detection sensitivity is a crucial criterion in the design and application of ECIS sensors. The influence of sensing electrode dimension on detection sensitivity is investigated in this paper. Eight types of ECIS sensors were fabricated, and their experimental results reveal that smaller-radius working electrodes generate more sensitive impedance shift to cell density change. Also, the smaller radius of working electrodes yield higher impedance values, which improves signal-to-noise ratio. In a range from 1.0 mm to 3.5 mm, the distance between the working and counter electrodes does not affect impedance measurements. However, the distance should be large enough to prevent the …

Utilizing Fast Spin Echo Mri To Reduce Image Artifacts And Improve Implant/Tissue Interface Detection In Refractory Parkinson’S Patients With Deep Brain Stimulators, Subhendra N. Sarkar, Pooja R. Sarkar, Efstathios Papavassiliou, Rafael Rojas

Publications and Research

Introduction. In medically refractory Parkinson’s disease (PD) deep-brain stimulation (DBS) is an effective therapeutic tool. Postimplantation MRI is important in assessing tissue damage and DBS lead placement accuracy. We wanted to identify which MRI sequence can detectDBS leads with smallest artifactual signal void, allowing better tissue/electrode edge conspicuity.

Methods. Using an IRB approved protocol 8 advanced PDpatientswere imagedwithinMRconditional safety guidelines at lowRF power (SAR ≤ 0.1 W/kg) in coronal plane at 1.5T by various sequences.The image slices were subjectively evaluated for diagnostic quality and the lead contact diameters were compared to identify a sequence least affected by metallic leads.

Results …