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Development and Evaluation of ShasthoBondhu: mHealth App for Guiding Emergency Remote Healthcare with Wearable IoT and AI Fusion
Farhan Khan;Tanima Ahamed Tulon;Noor Masrur;Md. Jihanul Hasan;Tasnuba Badrul;Ashraful Islam
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Year: 2024 | Conference Paper |
With the increasing prevalence of chronic diseases among the elderly population in Bangladesh, there is a critical need for essential solutions to address remote healthcare challenges. This research explores the integration of mobile health (mHealth) technology with wearable Internet of Things (IoT) devices to enhance remote healthcare services. Through a systematic four-step approach encompassing...Show More
Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals
Mahmudul Islam;Sami Rashid;Lishan Rafid;Tasnuba Badrul;Ashraful Islam;Beenish Moalla Chaudhry
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Year: 2024 | Conference Paper |
Healthcare professionals (HCPs) in lower- and middle-income countries (LMICs) like Bangladesh often face high levels of workplace stress, which can negatively impact their mental well-being. However, this issue is frequently overlooked. Mobile health (mHealth) tools, integrated with wearable devices like smartwatches, have the potential to play a significant role in managing workplace stress among...Show More
Physiological Signal Data-Driven Workplace Stress Detection Among Healthcare Professionals Using BiLSTM-AM and Ensemble Stacking Models
Syed Tangim Pasha;Nabarun Halder;Tasnuba Badrul;Jahanggir Hossain Setu;Ashraful Islam;Md Zahangir Alam
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Year: 2024 | Conference Paper |
The multifaceted nature of workplace stress in the healthcare sector is compounded by the physiological variances inherent to each individual. The challenge is further augmented by the lack of precisely labeled data for accurate stress detection through biosignals. Timely identification of stress in these settings is crucial, as it enables healthcare professionals to adopt effective management str...Show More
Ensemble and Deep Learning Approaches for Automated Screening of Anxiety, Depression, and Burnout in Medical Student Populations
Sami Rashid;Tasnuba Badrul;Lishan Rafid;Jahanggir Hossain Setu;Nabarun Halder;Ashraful Islam
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Year: 2024 | Conference Paper |
Mental health issues are increasingly affecting peo-ple worldwide. Efforts are taken to address these issues, however, similar importance is not always taken for all demographics. Medical students are particularly susceptible to being impacted by anxiety, depression, and burnout due to the intense pressures of their educational and practical settings. These mental health problems become worse beca...Show More
Preliminary Design Validation of a mHealth Tool for Gestational Diabetes Mellitus Management and Education in Bangladeshi Women
Tunisha Yanoor Bristy;Mohammad Arshad Hossain Ratul;Noorjahan Sayeed;Tasnuba Badrul;Ashraful Islam
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Year: 2024 | Conference Paper |
This research presents the preliminary design of a mobile health (mHealth) application specifically tailored for Bangladeshi women with Gestational Diabetes Mellitus (GDM), a condition affecting roughly 10% of pregnant women globally and around 35% within Bangladesh, according to the World Health Organisation (WHO). Despite the high prevalence, there is a significant lack of awareness and educatio...Show More
IoT Based Smart Insulin Delivery System and Diabetes Management System
Sami Rashid;Asif Bin Saif;SM Aqib Hossain;Tasnuba Badrul;Asif Mahmood;Mahady Hasan;Mohammad Rejwan Uddin
2023 26th International Conference on Computer and Information Technology (ICCIT)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper proposes an IoT-based system that employs a Non-Invasive low-cost innovative method to measure glucose level, additionally employing an intelligent Smart Diabetes Management System as a copilot for a diabetic patient in daily life. The system additionally incorporated a separate Insulin Delivery System, connected via IoT to measure and deliver accurate levels of insulin dosage based on ...Show More
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