Research Areas for BERC
Biomedical Engineering Research Complex (BERC) research is focused on development of biomedical signal processing algorithms, instruments, and devices that use novel and innovative methods and technologies for advancing health care system and improving the well-beings of humans. The forte of BERC is biological signal and image processing but we collaborate with other labs within Electrical Engineering department, other departments across UND and also collaborate internationally with labs and companies outside UND.
Brain Computer Interface
Brain-computer interface (BCI) systems enable the human brain to communicate with an external device bypassing the explicit pathways formed by natural nervous system. BCI decodes EEG signals recorded from the brain to extract important signatures related to subject’s intention. There are different EEG-based BCI systems such as P300 or steady-state visual evoked potential (SSVEP) are commonly used.
To utilize the advantages of different types of BCls, several such BCls are carefully combined to form a hybrid BCI. This project will focus mainly on developing signal processing and classification technique for hybrid BCI speller. Hybrid BCI speller achieves significantly higher accuracy and information transfer rate (ITR) as features from two or more different signals are combined.
Seizure Detection and Prediction
Seizure prediction and seizure detection devices have a wide range of potential clinical applications including patient monitoring in venues such as epilepsy monitoring units, intensive care units, and emergency departments. They also may be incorporated into closed loop seizure control devices.
Over 35% of pre-hospital deaths are due to hemorrhage caused by traumatic injuries. The early application of life saving interventions, before the development of circulatory shock, is a priority in dealing with hemorrhage.
The focus of our work on cardio-postural analysis is to establish a cause and effect relationship between cardiovascular and postural variables. Previous research indicates that cardiovascular and postural system interacts with each other to maintain equilibrium, however, cause and effect relationship between such systems is yet to be established.
Low Frequency Cardiac Vibration Signals
Low frequency vibration signals are those vibrations that have their main component in infrasonic range (less than 20 Hz) or slightly higher and up to 30 Hz. These signals are displacement, velocity, or acceleration of the body in response to the heart beating and recorded from different parts of the body or the platforms on which the body rests. These signals can provide information regarding the mechanical functioning of the heart as a pump, by quantifying the pulses appearing on the body with every heartbeat. Ballistocardiogram and Seismocardiogram have had a lot of attention during the past decade and are of special interest to BERC.
Locating the fiducial points of SCG such as aortic valve opening and closure crucial and not trivial. Systolic time intervals can be derived from such annotations.
Blood Pressure Estimation
In this research we are exploring a Seismocardiogram (SCG) and Photoplethysmorhram (PPG) signal as a marker of proximal pulse and distal pulse respectively for computing pulse transit time (PTT).
Hand Arthritis is one of the most common health problems affecting people throughout the world and primarily affects the articulating joints of the hand and can cause pain, deformity and moderate to severe disability. Hand arthritis is actually grouped into two main types; osteoarthritis (OA) and inflammatory arthritis (IA) that includes rheumatoid arthritis (RA).
Acne is chronic disorder of the pilosebaceous units with excess sebum production, follicular epidermal hyper proliferation, and inflammation and P acnes activity. It affects 85% of adolescents at some time during their lives . Methods which are used by dermatologists are manual methods such as direct visual assessment and ordinary flash photography to evaluate the acne.