Review
Engineering, Electrical & Electronic
Hyun Woo Song, Wonbin Choi, Taesu Jeon, Joon Hak Oh
Summary: The development of the Internet of Things and artificial intelligence has sparked significant interest in using various sensing techniques to gather information. This review presents the research trends and prospects for sensing technologies based on organic materials, which collect information from the environment through the Internet of Things. Cutting-edge chemical, optical, and physical organic sensors show great potential in creating smart environmental systems with IoT network platforms.
ACS APPLIED ELECTRONIC MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Tanvir Alam, Fadoua Saidane, Abdullah Al Faisal, Ashaduzzaman Khan, Gaffar Hossain
Summary: With the development of wearable electronics, traditional textiles have been transformed into precise strain sensors with high accuracy and broad spectrum sensitivity, which has become a research focus in human motion monitoring. A low-cost conductive graphite-polyurethane nanocomposite paste was developed and applied to a modified textile to create a highly efficient strain sensor. This sensor has high mechanical stability and can accurately monitor the movement and angle of fingers, wrists, and elbows.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Chemistry, Analytical
Tallat Jabeen, Ishrat Jabeen, Humaira Ashraf, Ata Ullah, N. Z. Jhanjhi, Rania M. Ghoniem, Sayan Kumar Ray
Summary: Programmable Object Interfaces have sparked interest among researchers due to their wide range of applications, particularly in the medical field. In the context of a Wireless Body Area Network (WBAN), clinical nano sensors are used to monitor patients' health. However, exchanging sensitive data in such networks requires strong security measures. This paper proposes a novel DNA-based encryption technique that offers faster computational time and better security than existing schemes.
Article
Chemistry, Analytical
Joana M. Warnecke, Nagarajan Ganapathy, Eugen Koch, Andreas Dietzel, Maximilian Flormann, Roman Henze, Thomas M. Deserno
Summary: The study developed flexible and thin electrodes for long-term ECG monitoring during driving and evaluated their effectiveness. The publicly available recordings provide the opportunity for more sophisticated data analytics.
Review
Chemistry, Analytical
D. M. G. Preethichandra, T. G. Suntharavadivel, Pushpitha Kalutara, Lasitha Piyathilaka, Umer Izhar
Summary: Recent developments in networked and smart sensors have revolutionized the way Structural Health Monitoring (SHM) and asset management are conducted. The continuous real-time data provided by sensor networks enables a more accurate depiction of the actual structure status, facilitating maintenance and repair scheduling based on real requirements. This review aims to provide a comprehensive understanding of commonly used SHM sensors, AI-based digital twin systems, and proposes a new asset management framework.
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.
Article
Chemistry, Analytical
Thomas Rueck, Max Mueller, Simon Jobst, Stefan Weigl, Jonas Pangerl, Rudolf Bierl, Frank-Michael Matysik
Summary: The digitalization of industrial processes requires smart sensor systems. Photoacoustic spectroscopy is a suitable method for small-sized and low-cost trace gas analysis. However, it is susceptible to changes in measurement conditions and standard calibration routines often fail to correct for all changes. Therefore, we created a Digital Twin (DT) of a photoacoustic trace gas sensor, which significantly improved the accuracy after compensation, and can be adapted to monitor any analyte species.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Chemistry, Physical
Qiang Zheng, Yue Hou, Hailu Yang, Puchuan Tan, Hongyu Shi, Zijin Xu, Zhoujing Ye, Ning Chen, Xuecheng Qu, Xi Han, Yang Zou, Xi Cui, Hui Yao, Yihan Chen, Wenhan Yao, Jinxi Zhang, Yanyan Chen, Jia Liang, Xingyu Gu, Dawei Wang, Ya Wei, Jiangtao Xue, Baohong Jing, Zhu Zeng, Linbing Wang, Zhou Li, Zhong Lin Wang
Summary: In this study, a self-powered smart transportation infrastructure skin (SSTIS) is proposed for sustainable monitoring of traffic. The system includes self-powered flexible sensors and an intelligent analysis system based on AI, and has been shown to achieve high accuracy in vehicle classification. A mobile traffic signal information monitoring system is also developed for engineers to obtain vehicle data.
Article
Engineering, Electrical & Electronic
Flavio Di Nuzzo, Davide Brunelli, Tommaso Polonelli, Luca Benini
Summary: Civil infrastructure monitoring is crucial for tracking aging and damages to prevent severe failures. A low-cost wireless sensor node has been proposed to support long-term modal analysis with long-range connectivity and low power consumption. The design uses cost-effective MEMS accelerometers and NB-IoT protocol, achieving long-term wireless connectivity and accurate measurements.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chen Chen, Yuru Zhang, Mohammad R. Khosravi, Qingqi Pei, Shaohua Wan
Summary: Intelligent Transportation System (ITS) plays a crucial role in the sustainable development of urban transportation within smart cities, by integrating smart sensors with transportation infrastructure. Recent advancements suggest that the use of autonomous vehicles will improve traffic efficiency and reduce fuel consumption. Platooning technology, as a representative driving pattern of autonomous vehicles, has great potential to lower fuel consumption and increase traffic efficiency, as demonstrated by a systematic framework for vehicular platooning forming.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Cihan Asci, Atul Sharma, Ruben Del-Rio-Ruiz, Sameer Sonkusale
Summary: There is a strong correlation between pH levels in the gastrointestinal tract and GI diseases. Existing diagnostic methods for GI diseases rely on invasive and expensive techniques. This study reports an autonomous ingestible biosensing system in a pill format with integrated pH sensors. The system measures pH levels as it travels through the GI tract and the data is downloaded from the collected pills. The innovative sensor design allows for easy integration into the pill and the modular biosensing system can monitor other biomarkers.
Article
Computer Science, Information Systems
Healin Im, Ashwini Kumar Arya, Sunju Kang, Donghoon Kim, Jongheon Lee, Mingoo Lee, Sungho Lee, Han-Seung Lee, Sanghoek Kim, Sunkook Kim
Summary: A smart structural-durability health-monitoring system has been designed and demonstrated in this study, which can monitor corrosion levels in building structures in real time and provide depth profiles, suitable for smart city infrastructure.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Nanoscience & Nanotechnology
Jianye Li, Qiongling Ding, Hao Wang, Zixuan Wu, Xuchun Gui, Chunwei Li, Ning Hu, Kai Tao, Jin Wu
Summary: Growing health awareness has led to a demand for timely and comprehensive health monitoring without frequent visits to the hospital. Wearable technology provides a continuous measurement method for health monitoring by tracking physiological data. Flexible and stretchable sensors with reliable performance are crucial for wearable technology.
NANO-MICRO LETTERS
(2023)
Article
Cardiac & Cardiovascular Systems
Lili Wang, Hong Xian, Jiajun Guo, Weihao Li, Jiaqi Wang, Qing Chen, Xiaoyu Fu, Hongbao Li, Qin Chen, Wei Zhang, Yucheng Chen
Summary: This study validates the accuracy of the HUAWEI WATCH in blood pressure monitoring and finds that it shows excellent consistency with reference blood pressures, making it a promising wearable device for BP self-monitoring.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Review
Pharmacology & Pharmacy
Luis Garcia-Gancedo, Andrew Bate
Summary: Post-licensure safety data play a crucial role in safety surveillance, but limitations exist due to subjectivity in reporting, data collection purpose, and heterogeneity. Capturing richer data routinely can help mitigate these limitations and provide earlier and more reliable safety insights. Digital health tools that acquire health-related information remotely are widely used, but their potential for pharmacovigilance purposes is not fully utilized. This review examines different cases that demonstrate the opportunities and challenges of using these technologies to enhance safety assessment in routine healthcare delivery, with the belief that such approaches will advance our understanding of drug and vaccine safety in the future.
DRUG DISCOVERY TODAY
(2022)
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
Chemistry, Analytical
Nagarajan Ganapathy, Diana Baumgaertel, Thomas M. Deserno
Summary: The study proposes a new dynamic symbolic assignment (DSA) method to differentiate normal sinus rhythm and paroxysmal atrial fibrillation from ECG signals, demonstrating its good accuracy on short signals and support for cross-data analysis.
Review
Chemistry, Analytical
Vinothini Selvaraju, Nicolai Spicher, Ju Wang, Nagarajan Ganapathy, Joana M. Warnecke, Steffen Leonhardt, Ramakrishnan Swaminathan, Thomas M. Deserno
Summary: In recent years, there has been a growing interest in noncontact measurements of vital signs using cameras. However, there are still unanswered questions regarding the specific vital signs monitored, the performance and influencing factors, and the health issues addressed by camera-based techniques. This systematic review analyzed articles published between January 2018 and April 2021, focusing on continuous camera-based monitoring of five vital signs: heart rate, respiratory rate, blood pressure, body skin temperature, and oxygen saturation. The review found that heart rate and respiratory rate can be measured using different types of cameras, whereas blood pressure and oxygen saturation are mainly monitored using RGB cameras. Camera-based techniques are commonly used in intensive care, post-anaesthesia care, and sleep monitoring, and also investigate specific diseases such as heart failure. The monitored subjects range from newborn and pediatric patients to geriatric patients, athletes, and vehicle drivers. The accuracy of camera-based monitoring varies for different vital signs, with heart rate, respiratory rate, and body skin temperature being more reliably measured under static conditions compared to blood pressure and oxygen saturation.
Article
Chemistry, Analytical
Joana M. Warnecke, Nagarajan Ganapathy, Eugen Koch, Andreas Dietzel, Maximilian Flormann, Roman Henze, Thomas M. Deserno
Summary: The study developed flexible and thin electrodes for long-term ECG monitoring during driving and evaluated their effectiveness. The publicly available recordings provide the opportunity for more sophisticated data analytics.
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
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)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Sharareh Rostam Niakan Kalhori, Thomas M. Deserno, Jamal Soleiman, Shayan Kasiri Habibabadi
Summary: This study provides a design for a data-sharing platform based on MIMIC IV and Emergency MIMIC-ED, which can provide useful support for studies such as patient trajectory analysis and medical outcome prediction.
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023
(2023)
Article
Energy & Fuels
Naveen Shirur, Christian Birkner, Roman Henze, Thomas M. Deserno
Summary: The development of novel single and matrix capacitive tactile sensors to measure occupant's contact data for airbags is described. Testing under a low-velocity pendulum impact and benchmarking with high-speed test videos show promising results, with the single sensor successfully measuring contact time and estimating area, and the matrix sensor identifying contact position in addition.
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.
