The mHealth Research group aims at developing biomedical signal processing and machine learning algorithms for remote health monitoring, and prototyping innovative mHealth devices for improving people’s health, overall well-being and quality of life.

OUR TEAM:

Md. Kawser Ahmed

Lecturer, BME, BUET.

M.Sc. Research Student

mHealth Research Group

Shoyad Nuhash

Lecturer, BME, BUET

M.Sc. Research Student

mHealth Research Group

Dr. Nawsabah Noor

[MBBS, MRCP(UK), ECFMG cert.]

Clinical Researcher

mHealth Research Group

Shams Nafisa Ali

Lecturer, BME, BUET

M.Sc. Research Student

mHealth Research Group

Samiul Based Shuvo

Lecturer, BME, BUET

M.Sc. Research Student

mHealth Research Group

Md. Tazuddin Ahmed

Lecturer, BME, BUET

M.Sc. Research Student

mHealth Research Group

Mohammad Zunaed Rafi

Research Assistant

mHealth Research Group

Kaisar Alman

Research Assistant

mHealth Research Group

Awsaf Rahman

Research Assistant

mHealth Research Group

Joydip Paul

Research Assistant

mHealth Research Group

Tonmoy Chandro Saha

Undergraduate Research Student

mHealth Research Group

Adhora Madhuri

Undergraduate Research Student

mHealth Research Group

Mahian Kabir Joarder

Undergraduate Research Student

mHealth Research Group

Tasmia Rahman Aanika

Undergraduate Research Student

mHealth Research Group

Asfina Hassan Juicy

Undergraduate Research Student

mHealth Research Group

Raiyun Kabir

Undergraduate Research Student

mHealth Research Group

Mahmud Wasif Nafee

Undergraduate Research Student

mHealth Research Group

Tasnia Binte Mamun

Undergraduate Research Student

mHealth Research Group

Nusaiba Sobir

Undergraduate Research Student

mHealth Research Group

S.M. Sakeef Sani

Undergraduate Research Student

mHealth Research Group

ADVISORS:

PROJECTS:

PUBLICATIONS:

 

 

 

 

Low-cost, Wearable ECG System with Cloud-Based Arrhythmia Detection

Low-cost, Wearable ECG System with Cloud-Based Arrhythmia Detection

Continuous ECG monitoring is an essential tool for Cardiovascular Disease patients but in low resource countries, continuous monitoring of ECG become a challenge due to limited availability of ECG system, high prices and lack of skilled physicians. We present a low-cost, low-power and wireless Flexible fabric-based design of ECG monitoring system with cloud-based automatic arrhythmia detection using Convolutional Neural Network.

Cardiovascular Screening with Heart Sounds

Cardiovascular Screening with Heart Sounds

Cardiovascular diseases cause 31% of global deaths. Machine learning enabled stethoscopes can help in early diagnosis by detecting abnormal heart sounds. Proposed end-to-end Deep Learning framework consists of a Littmann stethoscope that connects to the server via an Android smartphone for real-time diagnosis.

Wearable Smart Neckband for Diet Monitoring

Wearable Smart Neckband for Diet Monitoring

Diet monitoring is crucial for diseases such as: diabetes, obesity, eating disorders, hypertension. Automatic monitoring is more effective and accurate than manual count of intake. Developed a fabric-based low-cost ($5) wearable neckband that monitors user’s eating and drinking activities.

RadAssist: An AI-Assisted Tele-Radiology Platform

RadAssist: An AI-Assisted Tele-Radiology Platform

Radiological imaging diagnosis plays an important role in clinical patient management. We aim to develop advanced deep learning models that can detect clinically important abnormalities from chest X-ray images. Developed system can be integrated within a tele-radiology framework for assisting a radiologist in making more efficient and effective diagnosis.

DengueDrops: A Smart IV Fluid Calculator for Hospitalized Dengue Patients

DengueDrops: A Smart IV Fluid Calculator

Dengue has been endemic in the country since 2000. The national guidelines provide methods for IV fluid administration based on patient parameters but the calculation being complex and time-consuming, pose challenges to healthcare professionals during peak dengue seasons when hospitals become overburdened with dengue patients. To address this issue, we propose DengueDrops, a web-based calculator for the calculation of the required fluid amounts and IV flow rates for non-shock (group-B) dengue patients.

OxyJet: A Jet Mixing Principle Based Low-Cost CPAP

OxyJet: A Jet Mixing Principle Based Low-Cost CPAP

The COVID-19 pandemic has affected more than 20 million people worldwide with a death toll of over 700 thousand. Although HFNO and NIPPV are effective in treating severe COVID-19 patients, high-cost of these devices make it impossible to procure sufficient amounts of such ventilation devices in low and middle income countries. We propose OxyJet CPAP, a low-cost NIPPV system that is easy to use, manufacture, and implement within an LMIC healthcare infrastructure.

Low-cost, Wearable ECG System with Cloud-Based Arrhythmia Detection

Low-cost, Wearable ECG System with Cloud-Based Arrhythmia Detection

Continuous ECG monitoring is an essential tool for Cardiovascular Disease patients but in low resource countries, continuous monitoring of ECG become a challenge due to limited availability of ECG system, high prices and lack of skilled physicians. We present a low-cost, low-power and wireless Flexible fabric-based design of ECG monitoring system with cloud-based automatic arrhythmia detection using Convolutional Neural Network.

NEWS:

May 2020: mHealth Lab spin-off project RadAssist wins the 1st Runner-up prize in the “Act COVID-19 National Call” challenge organized by the ICT Ministry, Government of Bangladesh!

 

April 2020: mHealth Lab team wins the 2nd Runner-up prize in the “Design For Life | Ventilators for ALL” competition organized by Edge, The Foundation!

 

Dec 2019: mHealth Lab team as an R&D partner of Sonavi Labs (Baltimore, USA) wins the MIT Solve - Tiger Challenge 2019!

 

Oct 2019: Dr. Taufiq Hasan is invited to Technology Innovation Center, Johns Hopkins School of Medicine as a visiting scholar.

 

Sep 2019: Dr. Taufiq Hasan is invited to serve as a mentor in the 2019 African Biomedical Engineering Consortium (ABEC) design school to be held in Kampala, Uganda.

 

Aug 2019: Former Research Assistant Ahmed Imtiaz is starting his PhD at RICE University.

 

May 2019: Dr. Taufiq Hasan is appointed as a chair of the Biomedical Signal Processing Informatics session at IEEE BHI 2019.

 

May 2019: Dr. Paul Nagy, Deputy Director of Johns Hopkins Medicine Technology Innovation Center and Associate Professor of Radiology and Radiological Science, joins mHealth Research Group as an Advisor.

 

April 2019: Congratulations to Anirban Chakraborty and Nusrat Binta Nizam on their success at the Johns Hopkins Design Competition 2019!

 

April 2019: Paper on Heart Sound Classification and X-Ray Image Compression accepted at IEEE BHI.

 

October 2018: Dr. Alain Bernard Larbrique, Associate Professor, Johns Hopkins Bloomberg School of Public Health, joined mHealth Research Group as an Advisor.

 

September 2018: Congratulations to Ahmed Imtiaz Humayun for receiving ISCA Student and Young Scientist Travel grant for attending INTERSPEECH 2018 in Hyderabad, India.

 

 

 

CONTACT US:

Submitting Form...

The server encountered an error.

Form received.

Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1000

 

© mHealth Lab, BME, BUET, 2019