Applied Neuroscience Lab The Hong Kong Polytechnic University Hung Hom, Hong Kong. http://www.biorehab.org E-mail: firstname.lastname@example.org
The Hong Kong Polytechnic University Hung Hom, Hong Kong. http://www.biorehab.org E-mail: email@example.com
Hung Hom, Hong Kong. http://www.biorehab.org E-mail: firstname.lastname@example.org
http://www.biorehab.org E-mail: email@example.com
Background: Science Fictions and Technological development influenced my early age to study science and engineering. After finishing my graduation in Applied Physics and Electronics I started my career in Electronics and Embedded Systems. However, i was Still not completely happy as I found myself a machine to develop modern and fancy electronic gadgets. Hence, I started to search suitable research work that has maximum impact on the society and people. Soon I found Modern Biomedical Engineering has opened a new horizon for the technologists to offer equal contributions with the physicians. I have been highly motivated to work in different research fields of Bioengineering and Biomedical Engineering, specially on neural prosthetics that gives me huge satisfaction that I am contributing something for the society and the people.
Personal Motto: Education and Medication should be affordable, accessible and effective for all.
Goal: I want to develop my career as a Neuroprosthetics Researcher to make this medical technology more functional, reliable and affordable by all the community around the world.
▪ Neuroprosthetics: Bionic Prosthesis (Artificial Limb, Myoelectric Hand, Hybrid bionics), Artificial Retina, Intracortical Neuroprosthesis.
▪ Rehabilitation Science and Engineering: Neurorehabilitation, Functional Electrical Stimulation (FES), Stroke rehabilitation, Gait rehabilitation.
▪ Brain Machine Interface (BMI): Bidirectional Neural Interface, Multiple Electrode Array (MEA), Electrophysiology, Single and Multiunit recording.
Reconnection of the broken spinal cord after injury remains elusive in terms of stem cell while the progress of direct neural recording and functional electrical stimulation (FES) had been successful in many studies. Hence we are developing a novel bridge in between the primary motor cortex (M1) and the descending part of the broken spinal cord through an electronic embedded system for bypassing the lesion. We aim that the subject would be able to voluntary control the locomotion by cortically triggering the electrical stimulation.
▪ Core Work :Electrophysiology, Neuroscience, Neural Interfacing, Embedded Systems, Neural Signal processing, Neuromodulation. ▪ Competency :Microprocessor and Microcontroller (8052, AVR, PIC32, MSP430), Digital Singal Processor and COntroller (dsPIC, C2000), Analogue and Digital circuits, Filters, PCB design, Mixed signal processing, ECG, EMG, ECoG, Biosignal Feature extraction and Pattern recognition, Neural decoding. ▪ SoftWare :Cadence OrCAD 9.2, Keil C uVision3, BASCOM-8051, HI-TECH C, MPLAB C18, C30, MPLAB IDE 7.31, AVR Studio 4, MATLAB 7.0, QT 4.5, Visual Studio 6.0, Proteus 7 Professional, MS Office. ▪ Computer Language :C, C++, MATLAB, ASSEMBLY language for 8085, 8086, 8051, AVR, PIC, dsPIC, MSP430. ▪ Interfacing :RS-232, RS-485, USB, Parallel Port, USART, SPI, I2C, I2S, COM, SPORT. ▪ Sensors :MEA (Multiple Electrode Array), ECG, sEMG, ECoG, Temperature, Pressure, IR, RF, Sensors.
▪ Awarded Research Post-graduate (RPg) studentship at the Hong Kong Polytechnic University from 2010 to 2013 to pursue PhD degree. ▪ Awarded Graduate student scholarship at the Universidad Miguel Hernandez in the year 2009 to pursue masters in Bioengineering. ▪ Awarded Rajshahi University merit scholarship in recognition for good undergraduation performance in the year 2004.
▪ Myoelectric (EMG) based Prosthetic Hand: This research project has been taken in hope of rehabilitation of disabled amputees. The main target is to detect the surface myo-electric (sEMG) signal from the forearm and send it to microcontroller after suitable filtering. Microcontroller classifies the signal, takes the decision and drive the motor to actuate the robotic arm. The first prototype named SecondHand having only 1 Degree of Freedom (DoF) has done and working successfully. I am currently working on sEMG signal processing and pattern recognition to improve DoF and Signal to noise Ratio (SnR). ▪ Low cost Computer based ECG Machine: The main objective is to build a low cost computer card which would replicate the ECG machine. Computer is very much available in third world countries in comparison with advance biomedical instruments like ECG machine. So we look forward to build computer based biomedical instruments to minimize the initial cost of the hospitals and thus facilitate to minimize the expenditure of poor patients. First one was a Parallel Port ECG Card build with instrumentation amplifiers, ADC and filters. An USB based ECG card and C++ stand alone software running in Windows platform is under progress. ▪ Functional Electrical Stimulation (FES) based Neuroprosthesis for Chronic Stroke patient: This is also a prosthetic project like the previous one except it is for rehabilitation of chronic stroke patients. The patients who have residual EMG signals are taken in the consideration of this kind of prosthesis. The intension of movement is primarily collect by surface myoelectric (sEMG) signals. Then the signal being processed by suitable algorithm and model and then feedback to the muscles by Nerve Stimulator. ▪ Non-invasive Electrophysiological Recording and Stimulations: The aim is to build a quite versatile non-invasive electrophysiological recorder and stimulator to support the investigation of several researches in the field of Prosthesis. There are many available commercial products, but requires good finance and special customizations. The aim is to build an open source freeware build in C++ using computer Serial (COM) interfaces. ▪ Prepaid Electric Energy Meter Project: It has replaced conventional electro-mechanical meters in advantages of more accuracy, reliability, security and safety. The billing system is totally prepaid instead of post-paid hence no need of any meter reader. The consumer him-self reloads money to the given prepaid smart-card from the vending station and punch it to the meter. The meter automatically updates the credit. The meter is build with 8052 microcontroller and energy metering IC with associated filters. The LCD panel and user keys provide reliable user interfaces. There is also available Computer serial interface (RS232). DS12887 Real Time Clock (RTC) gives time information to the machine. Latching relay has been used to permanently store the status of the meter. ▪ System Control and Data Acquisition Project: The online data acquisition system gives the facility to monitor the distributed electric energy data all over the country. There are lots of generation plants and switching stations which generate and distribute the electricity to the country. But there was no central monitoring system. All had to rely on the telephone. The project provides the facility to monitor all these real-time data through web. A data acquisition card had developed and putted in every panel or feeder. This card measures the real-time energy by AD7754 energy measuring IC and sends to local server by ATmega64 microcontroller with RS-485 protocol. The local server stores these data, sends to the central server through GPRS network which updates the data to web.
1. Monzurul Alam, Fazle Elahi Faisal "Self Adaptive Embedded System Design", National Conference on Electronics, Information and Telecommunication June 29-30, 2007.
2. Monzurul Alam, S. M. Lutful Kabir "Three Phase Digital Electric Energy Meter", National Conference on Electronics, Information and Telecommunication June 29-30, 2007.
3. S. M. Abdullah Saber, Monzurul Alam and Dr. Md. Nasim A Dewan "Internet based control of power lines", National Conference on Electronics, Information and Telecommunication June 29-30, 2007.
4. Fazle Elahi Faisal, Monzurul Alam "A New Relation on Number of Iterations for Approximation Algorithm of Weighted Matching Problem", National Conference on Electronics, Information and Telecommunication June 29-30, 2007.
5. Kin-fai Wu, Monzurul Alam, Yuan-ting Zhang "An Optimized E-textile Electrode Placement for Non-contact ECG Bed", 5th International Conference on Ubiquitous Healthcare October 29-31, 2008.
6. Monzurul Alam and Jufang He "Cortically Controlled Electrical Stimulation for Locomotion of the Spinal Cord Injured", J.L. Pons et al. (Eds.): Converging Clinical & Engi. Research on NR, BIOSYSROB 1, pp. 37-41. Springer-Verlag Berlin Heidelberg 2013.
7. Yan Li, Monzurul Alam, Shanshan Guo, K.H. Ting, and Jufang He "Electronic bypass of spinal lesions to activate lower motor neurons directly driven by cortical neural signals". (under review)
8. Monzurul Alam, Xi Chen and Jufang He "A low-cost multichannel wireless neural stimualtion system for freely behaving small animals". (under review)