A low cost portable ECG machine has been developed by the department of Biomedical Physics and Technology university of Dhaka. The android app has been developed that is capable of displaying combined ECG traces of 12 leads. The app allows near real time data transfer to and from the patient facilitating the use of ECG for telemedicine application.
This was an extension to the previous work done by the Department of Biomedical Physics and Technology, University of Dhaka. (i,e) The Distribution of F latency as a new method in nerver conduction. In the context of extending the functionality of the already existing software, further work has been done that would take the EMG responses in order to automatically plot and represent the distribution of F latency to test the effectiveness of DFL as a diagnostic tool.
A learning algorithm was used for automatic detection and delineation of the QRS complexes of ECG. Using continuous wavelet transform the baseline wander of the signal has been removed. We use the property of R peak having the maximum amplitude, and used KNN classifier to detect the QRS interval. Once QRS complexes has been detected the regularity is checked in order to ensure that an acceptable ecg trace has been obtained.
We proposed a method that can be used to control any 220V device using a predefined account from a social network ( method was tested using twitter api). This allowed remote switching of any 220V device from any part of the world as well as remote voltage regulation. The project was showcased later in one of the largest techfest 'Esonance' in Bangladesh.
This was done as a course project for Medical Electronics. A modified version of an analog stethoscope has been developed that gives visual feedback via LED blink for the measurement of systolic diastolic pressures. This provides an additional information along with the pulse beat, thereby reducing the human error associated with the accurate determination of the readings
Being a quadcopter hobbyist this was something I did beyond my course or research work. A proper balance of cost and performance was the main priority of this project. Using local material as far as possible a low cost, rf controlled quadcopter was designed that would provide real time feed to a remote computer.
Worked with a research team in order to develop an android application that would give an estimate oft the amound of oxygen present in the blood the amound of oxygenated haemoglobin in the blood was determined using the Spo2 sensor linked with the app. The app enables the user to track their results where each of the measurement will be saved into the personal history. The app allows rapid analysis of oxygen data.