Md. Reazul Islam Md. Reazul Islam
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Md. Reazul Islam
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124

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

  • Developed Fund Self
  • APC AMIR LAB
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https://www.mdpi.com/1424-8220/23/11/5204

Abstract

With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather and analyze a wide range of physiological data, including blood oxygen levels, heart rates, body temperatures, and ECG signals, and then provide real-time feedback to medical professionals so they may take appropriate action. This paper proposes an IoT-based system for remote monitoring and early detection of health problems in home clinical settings. The system comprises three sensor types: MAX30100 for measuring blood oxygen level and heart rate; AD8232 ECG sensor module for ECG signal data; and MLX90614 non-contact infrared sensor for body temperature. The collected data is transmitted to a server using the MQTT protocol. A pre-trained deep learning model based on a convolutional neural network with an attention layer is used on the server to classify potential diseases. The system can detect five different categories of heartbeats: Normal Beat, Supraventricular premature beat, Premature ventricular contraction, Fusion of ventricular, and Unclassifiable beat from ECG sensor data and fever or non-fever from body temperature. Furthermore, the system provides a report on the patient’s heart rate and oxygen level, indicating whether they are within normal ranges or not. The system automatically connects the user to the nearest doctor for further diagnosis if any critical abnormalities are detected.
Keywords: 

convolutional neural network; Internet of Things; deep learning; medical IoT; sensor

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131

Tech Expert and judge at selection round of districts wise Digital Bangladesh innovation award 2022

Tech Expert and judge at selection round of districts wise Digital Bangladesh innovation award 2022

  • Selection round of districts wise Digital Bangladesh innovation award 2022 Tech expert and judge
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Successfully completed preliminary selection round of districts wise Digital Bangladesh innovation award 2022. In where was present honorable DC sir, ADC, DD, ADD, AC, Dio, Civil surgeon, DEO sir and also presented honorable judge Md. Nashir Uddin sir head of ICT dept RGC. I have worked there as a Tech Expert and judge. I Feel proud to work with them.

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132

Workshop on IoT organized by BUBT

Workshop on IoT organized by BUBT

  • Workshop on IoT organized by BUBT Presented by : Myself
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The Bangladesh University of Business and Technology recently conducted a dynamic and hands-on workshop focused on the practical application of IoT (Internet of Things). I had the honor of being invited as both a keynote speaker and a facilitator for the event. The workshop witnessed a participation of over 100 enthusiastic students, who were organized into 20 groups, each comprising 5 members.

During the workshop, I conducted a comprehensive session structured in three phases. In the initial phase, I dedicated my efforts to enhancing the students’ skills in Arduino, providing them with a solid foundation for IoT development. Moving into the second phase, we delved into the implementation of three fundamental projects that formed the core of IoT applications. This hands-on experience allowed the students to gain practical insights into real-life IoT scenarios.

The third and final phase of the workshop was particularly exciting as it involved the students applying their newfound knowledge and skills to implement 20 mini projects. This segment aimed to encourage creativity and problem-solving, allowing each group to explore and execute unique IoT solutions. The diversity of these mini projects not only showcased the versatility of IoT applications but also empowered the students to innovate and collaborate effectively.

The workshop as a whole not only equipped the participants with theoretical knowledge but also provided them with valuable practical experience. It was a rewarding experience to witness the enthusiasm and engagement of the students as they actively participated in each phase, contributing to the overall success of the IoT workshop.

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118

IoT Based Smart Locker System

IoT Based Smart Locker System

  • IoT Based Smart Locker System Team: Oliullah Supervised by me
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IoT (Internet of Things) based smart lockers incorporate various features to enhance security, convenience, and efficiency. Here are features found in developed IoT-based smart lockers:

1. Remote Access and Control:
– Users can remotely access and control the lockers through a mobile app or a web interface.
– Lock and unlock functionality from anywhere, providing flexibility and convenience.

2. Biometric Authentication:
– Integration of biometric authentication methods such as fingerprint or facial recognition for enhanced security.

3. RFID/NFC Technology:
– Use of RFID (Radio-Frequency Identification) or NFC (Near Field Communication) technology for contactless access and identification.

4. Mobile App Integration:
– A dedicated mobile app for users to manage and monitor locker status, receive notifications, and control access permissions.

5. Real-time Monitoring and Notifications:
– Sensors and cameras for real-time monitoring of locker status and sending notifications to users about locker activity.

6. Cloud Connectivity:
– Integration with cloud services for data storage, analysis, and remote management of lockers.

7. Automated Locking and Unlocking:
– Automated scheduling or triggered events for locking and unlocking the lockers based on predetermined criteria.

8. User Access Management:
– Administrators can easily manage and grant/revoke access permissions for users.

9. Integration with Smart Home Systems:
– Compatibility with smart home ecosystems for a more comprehensive home automation experience.

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137

Research project fund event with Aspire to Innovate (a2i) Bangladesh government!

Research project fund event with Aspire to Innovate (a2i) Bangladesh government!

  • Research projects fund event a2i
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Completed research project entitles are.
1. A Novel ML-Supported IoT Device for Women’s Self-Security System to reduce sexual harassment.
2. An Efficient IoT Enabled Smart Ambulance with provision of Emergency Medicine.
3. Design and development of IoT based Automatic Pet Monitoring and Feeding System.
 
Supported by Most honorable Vice Chancellor Prof. Dr. Md. Fayyaz Khan, Pro Vice Chancellor Prof. Dr. Md. Ali Noor, Chairman Dept of CSE Md. Saifur Rahman and Service Innovation fund Expert, a2i Nayeem Ashrafi for visiting and evaluating our research projects.
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107

IoT-based Research projects showcase 2022

IoT-based Research projects showcase 2022

  • IoT-based Research projects showcase 2022 Organized by: BUBT Supervised by: ME
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I organized the IoT-based Research Project Showcase 2022 at BUBT, featuring over 20 projects that I developed and supervised. Among the showcased projects were innovative solutions such as an Automatic Water Pump Controller, Smart Sitting Posture Monitoring System, Soil Nutrient Monitoring and Crop Recommendation, Remote Health Monitoring System, and Smart Bioflock.

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105

Collaboration event between a2i and BUBT on ‘Smart Bangladesh 2041’ campaign

Collaboration event between a2i and BUBT on ‘Smart Bangladesh 2041’ campaign

  • 'Smart Bangladesh 2041' campaign. Supervision by me
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Empower Bangladesh through the seamless integration of IoT and AI technologies to create a Smart Bangladesh by 2041. a2i mission is to foster sustainable development, enhance quality of life, and ensure inclusivity, by leveraging innovative solutions that harness the power of the Internet of Things (IoT) and Artificial Intelligence (AI).


We envision a future where Bangladesh stands as a beacon of technological advancement, driven by a Smart Bangladesh Campaign 2041. BD govt vision is to build a connected nation where IoT and AI converge to optimize resource utilization, promote environmental sustainability, and elevate the standard of living for every citizen. Through this transformative journey, we aim to position Bangladesh as a global leader in smart, efficient, and inclusive governance and development.

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135

Smart Bangladesh summit 2041

Smart Bangladesh summit 2041

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I have talked about developing and migrating innovation ideas to prototypes and IoT-based products in Bangladesh, like in any other region, presents a unique set of challenges. Here is a list of problem factors that one might encounter during this process in the Bangladeshi context:

1. Limited Research and Development Infrastructure:
Challenge: Inadequate research and development infrastructure, including laboratories and testing facilities, may hinder the efficient development and testing of innovative ideas.
Impact: Slows down the prototyping process and can result in suboptimal product quality.

2. Resource Constraints:
Challenge: Limited access to funds, skilled personnel, and advanced technologies can be significant barriers to the development of sophisticated IoT-based prototypes.
Impact: Delays in the development timeline, reduced innovation potential, and increased risk of project abandonment.

3. Lack of Interdisciplinary Collaboration:
Challenge: Limited collaboration between different disciplines (engineering, data science, design) may lead to siloed development, hindering the creation of holistic and integrated IoT solutions.
Impact: Reduced efficiency missed opportunities for innovation, and a less comprehensive product.

 4. Power and Connectivity Issues:
Challenge: Irregular power supply and limited internet connectivity in certain regions can pose challenges, especially for IoT products that rely on continuous connectivity.
Impact:  Decreased reliability, increased maintenance requirements, and limited scalability of IoT solutions.

5. Regulatory and Compliance Barriers:
Challenge: Complex and evolving regulatory frameworks may pose hurdles in obtaining necessary approvals for deploying IoT solutions.
Impact: Delays in product launch, increased costs, and potential legal issues.

6. Limited Market Awareness and Acceptance:
Challenge: Limited awareness among potential users and stakeholders about the benefits and applications of IoT-based products.
Impact: Difficulty in market adoption, slow product uptake, and challenges in demonstrating the value proposition.

7. Challenges in Data Security and Privacy:
Challenge: Ensuring robust data security and privacy measures can be challenging due to the lack of standardized practices and awareness.
Impact: Potential breaches may lead to loss of trust, legal implications, and resistance to adopting IoT solutions.

8. Educational Gaps and Skill Shortages:
Challenge:  Insufficient educational programs and training opportunities for relevant skills (IoT development, machine learning) may limit the pool of qualified professionals.
Impact: Difficulty in finding skilled workforce, increased costs in hiring, and slower development timelines.

 9. Environmental Factors:
Challenge: Harsh environmental conditions, such as extreme temperatures and humidity, may pose challenges in ensuring the durability and longevity of IoT devices.
Impact:  Increased maintenance requirements, higher product failure rates, and potential safety concerns.

10. Limited Access to Global Networks:
Challenge:  Limited connectivity to global innovation networks may hinder access to international collaboration, funding, and knowledge sharing.
Impact: Reduced exposure to global best practices, slower technology adoption, and missed opportunities for collaboration.

Addressing these challenges requires a collaborative effort from various stakeholders, including government bodies, educational institutions, industry players, and research organizations. Overcoming these hurdles can contribute to the successful development and migration of innovative ideas to prototypes and IoT-based products in Bangladesh.

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