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School of Electrical & Electronic Engineering » Working With Industry » R&D Centres » Centre for Digital Signal Processing & Biomedical Applications

Centre for Digital Signal Processing and Biomedical Applications

About the Centre

The centre aims to provide a suitable environment and infrastructure for staff and students to be involved in applied research and development work in the area of digital signal processing and biomedical applications. The areas of research include:

  • Image and video analysis and processing
  • Speech and audio signal processing
  • Biomedical signal and image processing
  • Medical imaging and instrumentation

Capabilities and Technical Services

The centre specialises in digital signal processing applications in the areas of video surveillance, traffic monitoring, medical diagnosis, and also in the development of medical devices for health monitoring.

The centre conducts research and development projects, provides consultancy and conducts training for digital signal processing and biomedical applications.

Project Showcase

Brain Computer Interface Based Communicator

A low cost, reliable and user-friendly Brain Computer Interface (BCI) based communicator product prototype for locked-in patients, so that they can express their needs and can communicate with other people. A number of specific implementation techniques are used to achieve good performance in terms of accuracy, speed and reliability.
Funding Agency: MOE-TIF
Collaborator: I2R, All Saints Home


Noise free HDR image processing tool

High dynamic range imaging, typically known as HDR, improves quality of each pixel in an image so that a greater dynamic range of luminance between the lightest and darkest areas of an image can be shown. The picture quality obtained with this technique enhances the standard digital imaging techniques. However, HDR processing has its limitations and flaws especially when there are moving objects in the images.  In this collaborative research, we aim to develop a noise free HDR imaging app for mobile platforms.

Funding Agency: MOE-TIF 

Collaborator: I2R



Remote Vehicular Pollution Monitoring System (Phase I)

A setup to remotely detect smoke exhaust on fast moving vehicles.

Funding Agency: NEA IPF

Collaborator: NEA and Lighthaus Photonics


C3I System for Bus Lane Management

Vision based enforcement system for bus lane management.

Funding Agency: NRF TRD

Collaborator: LTA


Interactive, Portable & Self-activated Elbow Brace for Stroke Patients

An interactive and portable elbow brace that initiates the elbow/wrist movements using surface Electromyogram (sEMG) obtained from stroke patients, for their faster functional recovery and to increase their range of motion.
Funding Agency: TB-SIR

Collaborator: St. Andrew Community Hospital - Singapore



Self-Bilateral Manipulator to Retain and Improve Upper Limb Functional Capability

An upper limb robotized structure incorporated with 3D interactive game, to assist the elderly and the patients during their therapy session, with higher motivation level and with minimum supervision from therapist or caregiver.

Funding Agency: TB-SIR

Collaborator: KTPH and NUH - Singapore



Intellisense bed

Intelli-Sense Bed reduces occurrence of bed sores forming on elderly and bedridden patients while reducing nurses’ workload. This system is capable of monitoring the position of the patient on the bed as well as the temperature of the bed. The system is able to tell if the patient has stayed in a same position for a set amount of time and hence can alarm the nurses. Also if the system detects the increase of temperature in a particular area, it can activate a compressor which introduces air flow through a series of pipes embedded in the bed and out of the surface to help decrease the bed’s surface temperature


System For Automated Assessment Of Rehabilitative Reach And Grasp 

This is an objective assessment system for upper limb rehabilitation and provides real-time feedback for therapists and patients. The project focusses on one of the Action Research Arm test (ARAT) sub-tests, which looks at the reach and grasping ability of a patient. It involves the grasping and moving a cube, which can detect tremors, force exerted in grasping and acceleration.

Funding Agency: MOE-TIF

Collaborator: Nanyang Technological University, National University Hospital, BioFIT Technology and Services


An Augmented Reality-based Remote Rehabilitation System to Motivate and Assess Patients

This is a rehabilitation system to motivate and assess patients in the context of stroke rehabilitation.

Funding Agency: Tote Board SIR

Collaborators: St Andrew Community Hospital, Asian Women’s Welfare Association




The centre has worked with the following partners:

  • Singapore Police Force
  • ICA - Immigration & Checkpoints Authority of Singapore
  • Institute for Infocomm Research, Agency for Science, Technology, and Research, Singapore
  • Massey University, New Zealand
  • Nanyang Technological University
  • Ministry of Education
  • Land Transport Authority
  • Alexandra Hospital
  • Singapore National Eye Centre
  • Tan Tock Seng Hospital
  • Panasonic (Singapore) Laboratories Pte Ltd


Courses and Seminars

The centre conducts courses and seminars in the following areas:

  • Digital Signal Processing
  • Applied Video & Image Processing
  • Video Surveillance & Content Analysis
  • Exploring Image Processing Using MATLAB

Contact Information

Dr Arun Kumar
Senior Lecturer, School of Electrical and Electronic Engineering
Email: [email protected]
Phone: 6870 4892
Fax: 6772 1974

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