Article
Computer Science, Information Systems
Muhammad Awais, Mohsin Raza, Nishant Singh, Kiran Bashir, Umar Manzoor, Saif Ul Islam, Joel J. P. C. Rodrigues
Summary: The study proposes an integrated IoT framework for real-time communication and emotion recognition, suitable for health monitoring and distance learning support during pandemics. The proposed IoT protocols achieve ultralow latency and improved reliability, while the deep learning scheme shows high performance.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Chemistry, Multidisciplinary
Wu-Di Li, Kai Ke, Jin Jia, Jun-Hong Pu, Xing Zhao, Rui-Ying Bao, Zheng-Ying Liu, Lu Bai, Kai Zhang, Ming-Bo Yang, Wei Yang
Summary: Multiresponsive flexible sensors, which can serve as electronic skin, show great application potential in flexible electronics, AI, and IoT. These sensors with multiple sensing abilities are crucial for detecting human body motions, physiological signals, and environmental stimuli, contributing to real-time and comprehensive health monitoring and management.
Review
Computer Science, Information Systems
Euclides Carlos Pinto Neto, Sajjad Dadkhah, Somayeh Sadeghi, Heather Molyneaux, Ali A. Ghorbani
Summary: The Internet of Things (IoT) has the potential to revolutionize medical treatment in healthcare, but it also faces security threats. Advanced analytics can enhance IoT security, but generating realistic datasets is complex. This research conducts a review of Machine Learning (ML) solutions for IoT security in healthcare, focusing on existing datasets, resources, applications, and challenges, to highlight the current landscape and future requirements.
COMPUTER COMMUNICATIONS
(2024)
Article
Automation & Control Systems
Muhammad Zada, Usman Rizqi Iman, Abdul Basir, Hyoungsuk Yoo
Summary: This article introduces a battery-free smart-textile-based energy harvester for IoT-enabled wearable sensors in e-healthcare applications. The energy harvester, which can be easily integrated into textile products using digital embroidery, is designed to harvest energy from multiple directions and convert it into electricity to power wearable sensors. Simulations and experiments were conducted to evaluate its performance, and the feasibility of integrating it into commercially available IoT sensor nodes was demonstrated by wirelessly powering a wearable device.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Sherali Zeadally, Oladayo Bello
Summary: Connectivity and interoperability are crucial in ICT infrastructure, particularly in healthcare systems where IoT technologies are integrated for efficient and cost-effective services. The complex ecosystem of healthcare information systems can benefit from IoT-based solutions to improve quality and delivery of healthcare services. Future opportunities in healthcare solutions can be explored through IoT connectivity.
INTERNET OF THINGS
(2021)
Review
Computer Science, Information Systems
Ali Hassan Sodhro, Ali Ismail Awad, Jaap van de Beek, George Nikolakopoulos
Summary: The poor time efficiency and high computational complexity of conventional cryptographic methods make it easy to compromise the authentication of lightweight wearable and healthcare devices. Therefore, intelligent authentication, relying on AI and sufficient network resources, is crucial for securing healthcare devices connected to IoT-5G.
INTERNET OF THINGS
(2022)
Review
Engineering, Biomedical
Quanxia Lyu, Shu Gong, Jialiang Yin, Jennifer M. Dyson, Wenlong Cheng
Summary: This review summarizes recent advances in soft wearable materials and devices, highlighting the need for novel materials in future healthcare devices and current monitoring and therapy systems.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Chemistry, Analytical
Vishal Varun Tipparaju, Kyle R. Mallires, Di Wang, Francis Tsow, Xiaojun Xian
Summary: Bluetooth Low Energy (BLE) is crucial in wireless data transmission for wearable technologies, but systematic evaluation and mitigation of data packet loss are essential. This study proposed strategies like reducing transmission frequency, data bundling, and a queue-based packet transmission protocol to reduce BLE data packet loss. These methods effectively reduced packet losses and can be widely applied in various BLE-based wearable applications.
Article
Computer Science, Information Systems
Tariq Ahamed Ahanger, Munish Bhatia, Abdullah Aljumah
Summary: This article analyzes the quality of healthcare services provided by hospitals and healthcare centers using Internet of Things (IoT) technology. It quantifies healthcare service using the Probability of Health Grade (PoHG) and performs numerical analysis of healthcare service quality using the health quality index (HQI). It also uses a 2-player game theory-inspired decision modeling to analyze healthcare quality in a time-sensitive manner. The evaluation of the proposed framework in a simulated environment shows enhanced performance measures in terms of classification efficacy, decision-making efficiency, temporal delay, and reliability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Lida Xu
Summary: Multimodal wearable intelligence technique is transforming elderly care in Healthcare 4.0, especially for those with dementia. However, challenges such as lack of cost-effective sensors, device heterogeneity, and high demand for interoperability need to be addressed for the utility of this technology.
INFORMATION SYSTEMS FRONTIERS
(2021)
Article
Information Science & Library Science
Mona Bokharaei Nia, Mohammadali Afshar Kazemi, Changiz Valmohammadi, Ghanbar Abbaspour
Summary: This research proposes a recommender system framework using machine learning algorithms and social media sentiment analysis to recommend the best wearable IoT device for patients. It provides great value for patients, doctors, medical centers, and hospitals in allocating the device for the treatment process.
Article
Multidisciplinary Sciences
Yasir Ali, Habib Ullah Khan
Summary: The supply chain management of COVID-19 vaccine is a complex task, and IoT technology is a suitable solution. This study proposes a decision making model to select the right IoT platform for the logistics and transportation process of COVID-19 vaccine. The model is validated and tested through surveys and shows high accuracy and reliability.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Hongru Li, Guiling Sun, Yue Li, Runzhuo Yang
Summary: The purpose of wearable technology is to integrate specific technology into user clothes or accessories using multimedia, sensors, and wireless communication. This technology has been widely used in patient monitoring and health management due to its low-load, mobile, and easy-to-use characteristics. In this paper, a Wi-Fi-based physiological monitoring system was established to accurately measure heart rate, body surface temperature, and motion data, as well as quickly detect and alert users of abnormal heart rates.
Article
Computer Science, Information Systems
Ashish Kumar Sultania, Jeroen Famaey
Summary: This article demonstrates the feasibility of a batteryless NB-IoT UE to enable a long-term sustainable maintenance-free IoT network. A prototype is developed using a small photovoltaic solar panel, which harvests energy from sunlight or an artificial light source to power the NB-IoT UE. Experimental results show that the batteryless NB-IoT UE can support a transmission interval of 60 s when harvesting 6 mW or more, achievable by placing a 6 W artificial light bulb at a distance of 60 cm or less.
Review
Computer Science, Hardware & Architecture
Mostafa Haghi Kashani, Mona Madanipour, Mohammad Nikravan, Parvaneh Asghari, Ebrahim Mahdipour
Summary: Internet of Things (IoT) is an expanding ecosystem integrating software, hardware, physical objects, and computing devices for communication, data collection, and exchange. In healthcare systems, IoT shows potential in reducing strain and providing tailored health services. A systematic review of 146 articles classified existing Healthcare IoT (HIoT) systems, discussed their benefits and limitations, and highlighted future trends and challenges in the field.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Review
Chemistry, Analytical
Ju Wang, Nicolai Spicher, Joana M. Warnecke, Mostafa Haghi, Jonas Schwartze, Thomas M. Deserno
Summary: This research provides a guide to current sensor technology for unobtrusive in-home monitoring through a literature review, addressing questions related to sensor types, placement, monitored data, and monitoring functions. The study identified 25 types of sensors that can be used for various monitoring purposes, but clear evidence of their impact on clinical outcomes is still lacking.
Review
Chemistry, Analytical
Mostafa Haghi, Saeed Danyali, Sina Ayasseh, Ju Wang, Rahmat Aazami, Thomas M. Deserno
Summary: This study analyzes wearable devices in healthcare from an innovative perspective, categorizing them according to the environmental, behavioral, physiological, and psychological domains. The research indicates a shift towards disease management and specific applications for wearables, highlighting their significant role in proactive healthcare.
Article
Engineering, Electrical & Electronic
Saeed Danyali, Amin Moradkhani, Rahmat Aazami, Mostafa Haghi
Summary: This article introduces a new dual-input nonisolated ZVS DC-DC boost converter which combines two bidirectional and unidirectional boost converters, utilizing three power switches, one power diode, two inductors, and an output filtering capacitor. The converter achieves ZVS and ZCS without auxiliary circuits, with soft-switching performance designed for all power ranges. It features a simple and compact structure, minimal components, and high efficiency, able to regulate output voltage and control power extraction through a simple control system.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Chemistry, Analytical
Mohammed Faeik Ruzaij Al-Okby, Sebastian Neubert, Thomas Roddelkopf, Kerstin Thurow
Summary: This study investigates mobile detection and alarming systems for toxic, hazardous gases and volatile chemicals in laboratory environments. By screening papers, 42 eligible papers were found. The focus is on discussing available mobile hazardous gas detection and alarming systems based on various technical details such as gas detection technology, sensor manufacturing technology, sensor specifications, processor type, and communication technology.
Article
Chemistry, Analytical
Mohammed Faeik Ruzaij Al-Okby, Sebastian Neubert, Thomas Roddelkopf, Heidi Fleischer, Kerstin Thurow
Summary: The measurement of air quality parameters for indoor environments is increasingly important for ensuring worker safety. This paper investigates the applications of indoor air quality index (IAQ-index) and total volatile organic compounds (TVOC) in hazardous/toxic gases detection and alarming systems. Through testing 12 different organic solvents, the best and most flexible solution for air quality threshold selection is identified, and data acquisition and processing are conducted using IoT technology.
Editorial Material
Chemistry, Multidisciplinary
Kerstin Thurow
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Mohammed Faeik Ruzaij Al-Okby, Thomas Roddelkopf, Heidi Fleischer, Kerstin Thurow
Summary: Air pollution and leakages of hazardous and toxic gases and chemicals frequently occur in automated chemical and life science laboratories. The commercial MOX gas sensor, SGP41, was used for detecting nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index) in this study, showing capability in detecting small NO2 gas leakage from 0.3% volume and all tested VOC solvents >= 100 mu L.
Article
Chemistry, Analytical
Mostafa Haghi, Arman Ershadi, Thomas M. Deserno
Summary: The World Health Organization recognizes the impact of physical activity on quality of life. This study focuses on monitoring and classifying physical activity using a flexible wearable device for 3D spine pose measurement. By developing a comprehensive protocol and implementing three neural networks, the study achieves high accuracy in activity recognition. The results demonstrate the potential of the wearable device for activity monitoring and exercise supervision, while further improvement is needed for fall detection.
Article
Chemistry, Analytical
Mostafa Haghi, Akhmadbek Asadov, Andrei Boiko, Juan Antonio Ortega, Natividad Martinez Madrid, Ralf Seepold
Summary: Sleep disorders can impact daily life, affecting physical, emotional, and cognitive well-being. We developed a low-cost Out of Center Sleep Testing (OCST) system with low complexity to measure cardiorespiratory parameters using force-sensitive resistor strip sensors under the bed mattress. The system showed promising results with minor dependency on sleeping positions and identified the sensor under the thoracic region as the optimal configuration for cardiorespiratory measurement.
Article
Chemistry, Multidisciplinary
Chao Duan, Steffen Junginger, Kerstin Thurow, Hui Liu
Summary: We propose a novel stereo visual odometry model that combines optical flow and depth information to estimate ego-motion and achieve camera pose estimation. Our experiments demonstrate that our approach outperforms existing learning-based and monocular geometry-based methods on the KITTI odometry dataset, and we achieve real-time performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Medical Informatics
Arriel Benis, Mostafa Haghi, Thomas M. Deserno, Oscar Tamburis
Summary: Smart cities and digital public health are closely related and pose challenges in managing digital transformation in urbanization and living spaces. Prioritizing the health and well-being of humans and their animals is critical in the dynamic and ever-changing environment they share. The use of sensors in smart cities and accident and emergency informatics offer tools to monitor and manage hazards and events. One Digital Health (ODH) framework, combined with accident and emergency informatics, aims to transform health ecosystems by managing data and supporting health-oriented policies. By developing the concept of ODH intervention, the framework can support comprehensive monitoring and analysis of daily life events in smart environments. The ODH intervention case study demonstrated how data collection and analysis can be used to improve health, welfare, and risk prevention at individual and population levels.
JMIR MEDICAL INFORMATICS
(2023)
Review
Robotics
Jiahao Huang, Steffen Junginger, Hui Liu, Kerstin Thurow
Summary: This paper screened 147 papers from 2019 to 2021 in the field of indoor positioning of mobile robots and introduced and compared 12 mainstream indoor positioning methods and related technologies. Then, the selected papers were summarized, discovering common attributes and laws, and obtaining the development trend of indoor positioning of mobile robots.
Article
Chemistry, Analytical
Sebastian Neubert, Thomas Roddelkopf, Mohammed Faeik Ruzaij Al-Okby, Steffen Junginger, Kerstin Thurow
Summary: In recent years, the automation level in life science laboratories has increased significantly with the introduction of stationary and mobile robots. To enhance safety for personnel, a modular IoT-sensor node was developed for early detection of volatile organic compound vapors. The investigation results demonstrate the effectiveness of these sensors for early detection of solvent vapors in life science laboratories.
Article
Health Care Sciences & Services
Mostafa Haghi, Ramon Barakat, Nicolai Spicher, Christian Heinrich, Justin Jageniak, Gamze Soylev Oktem, Maike Krips, Ju Wang, Siegfried Hackel, Thomas M. Deserno
Summary: This paper introduces an ISAN-based communication platform aiming to facilitate data exchange between isolated systems, prevent data misinterpretation, and integrate additional data sources in emergency response scenarios. The platform includes alerting, responding, and curing system managers, as well as workflow and communication managers to improve communication efficiency and security in emergency situations.
Article
Engineering, Electrical & Electronic
Saeed Danyali, Rahmat Aazami, Amin Moradkhani, Mostafa Haghi
Summary: The proposed converter has a simple and compact structure, minimum number of power switches and magnetic elements, high voltage gain, and acceptable power efficiency.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)