Article
Engineering, Biomedical
Huanghe Zhang, Ton T. H. Duong, Ashwini K. Rao, Pietro Mazzoni, Sunil K. Agrawal, Yi Guo, Damiano Zanotto
Summary: This paper introduces new transductive-learning inference models that reduce measurement errors and improve the accuracy of instrumented footwear for gait analysis. The proposed models use subject-optimized input features and hyperparameters to adjust the spatiotemporal gait metrics obtained with conventional techniques, resulting in computationally simpler models compared to end-to-end machine learning approaches.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Review
Pharmacology & Pharmacy
M-A Choukou, A. Polyvyana, Y. Sakamoto, A. Osterreicher
Summary: The study reveals that the research on Ambient Assisted Living Technologies (AALTs) is mainly concentrated in few countries, with a focus on asymptomatic older adults living at home. The paper aims to help researchers have a better understanding of the current research types in AALTs and address potential challenges in the field.
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
(2021)
Review
Health Care Sciences & Services
Milla Rosenlund, Ulla -Mari Kinnunen, Kaija Saranto
Summary: The development of digital health services reflects a change in attitude and thinking and has become a cornerstone for engaging patients and citizens in health management while living at home. These services aim to enhance efficiency and quality, but global challenges still prevail.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Review
Engineering, Biomedical
Amaranta Soledad Orejel Bustos, Marco Tramontano, Giovanni Morone, Irene Ciancarelli, Giuseppe Panza, Andrea Minnetti, Alessandro Picelli, Nicola Smania, Marco Iosa, Giuseppe Vannozzi
Summary: Monitoring systems at home are critical for fall detection and can range from standalone devices to activity recognition devices. This review analyzes the current literature on different devices for home fall detection. The studies highlight the importance of fall detection at home and the potential of machine learning algorithms in predicting falls.
EXPERT REVIEW OF MEDICAL DEVICES
(2023)
Review
Medicine, General & Internal
Lillian Hung, Hannah Levine, Paavan Randhawa, Juyoung Park
Summary: This scoping review aims to explore the use of technology-based group exercise for people with dementia or mild cognitive impairment. It will identify existing interventions and evaluate the outcome and impacts of technology-based group exercise. The review will include a three-step search strategy and focus on literature published between June and December 2021.
Article
Biophysics
John J. Davis, Marcin Straczkiewicz, Jaroslaw Harezlak, Allison H. Gruber
Summary: The study developed an algorithm to identify running bouts in accelerometer data with high accuracy, ranging from 98.4% to 99.4%. The CARL classifier can accurately detect running bouts as short as three seconds in free-living accelerometry data.
PHYSIOLOGICAL MEASUREMENT
(2021)
Review
Health Care Sciences & Services
Tamara Mujirishvili, Caterina Maidhof, Francisco Florez-Revuelta, Martina Ziefle, Miguel Richart-Martinez, Julio Cabrero-Garcia
Summary: This article provides a scoping review of studies examining the viewpoints of older adults and/or their caregivers on the acceptance and privacy perceptions of video-based active and assisted living (AAL) technology. The findings suggest that acceptance attitudes towards video-based AAL technologies are conditional and influenced by privacy concerns. Security and medical safety were identified as the major benefits of these technologies.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Review
Health Care Sciences & Services
Jeeyae Choi, Seoyoon Woo, Anastasiya Ferrell
Summary: Due to the COVID-19 pandemic, telehealth has become an important healthcare delivery method, and researchers believe that AI can enhance its quality. This scoping review focuses on users' satisfaction, AI algorithms' performance, and the types of AI technology used in telehealth interventions.
JOURNAL OF TELEMEDICINE AND TELECARE
(2023)
Review
Medicine, General & Internal
Claire Sethuram, Mary Helmer-Smith, Sathya Karunananthan, Erin Keely, Jatinderpreet Singh, Clare Liddy
Summary: This scoping review examined the use and evidence of eConsult in correctional facilities worldwide. The study revealed that eConsult is beneficial in these facilities, as it avoids unnecessary transportation of offenders and is feasible, cost-effective, improves access to care, has an impact on clinical care, and is well-received by providers. However, there are still gaps in the literature, and further research is needed to explore patient satisfaction, implementation enablers and barriers, and specific populations within correctional facilities. Despite these gaps, eConsult is evidently an important tool for providing timely, high-quality care to offenders.
Article
Geriatrics & Gerontology
Hari Sharma
Summary: This study investigates the frequency and types of citations in large ALFs in Florida from 2012 to 2018. It found that repeat citations are common, indicating that ALFs do not consistently improve quality after receiving citations. For-profit facilities, larger facilities, and those with limited mental health licenses tend to receive more citations, suggesting potential areas for improvement in the regulation and oversight of ALFs.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2022)
Review
Chemistry, Analytical
Grazia Cicirelli, Roberto Marani, Antonio Petitti, Annalisa Milella, Tiziana D'Orazio
Summary: In recent years, there has been a growing interest in the development of Active and Assisted Living (AAL) systems to address the challenges brought by the aging population from both economic and societal perspectives. AAL systems offer a range of solutions to improve quality of life and support independent living, requiring further research and investigation to understand its development trends and key issues.
Article
Health Care Sciences & Services
Estee Hong, Alexa N. Jakacic, Arpan Sahoo, Erica Breyman, Gabriel Ukegbu, Laura Tabacof, David Sachs, John Migliaccio, Colette Phipps, Jennifer Schwartz, Marikay Capasso, Mae Carpenter, David Putrino
Summary: The offering of Fitbit technology did not lead to significant changes in cardiovascular health metrics in older adults, but participation in the TIPS initiative may have a positive effect on systolic blood pressure.
TELEMEDICINE AND E-HEALTH
(2021)
Article
Chemistry, Analytical
Carla Silva-Batista, Graham Harker, Rodrigo Vitorio, Fay B. Horak, Patricia Carlson-Kuhta, Sean Pearson, Jess VanDerwalker, Mahmoud El-Gohary, Martina Mancini
Summary: This study tested the feasibility of using a physical therapist assisted system (Mobility Rehab) with wearable sensors for one session of treadmill training in 10 people with Parkinson's disease (PD). The training significantly improved foot-strike angle, trunk coronal range-of-motion (RoM), and arm swing RoM during overground walking. Participants perceived moderate to excellent effects on their gait. One session of treadmill training with Mobility Rehab is feasible for people with mild-to-moderate PD.
Article
Biology
H. J. Williams, J. Ryan Shipley, C. Rutz, M. Wikelski, M. Wilkes, L. A. Hawkes
Summary: Ecophysiology research has been mainly conducted in controlled laboratory settings due to technological limitations in monitoring physiological parameters in wild animals. Future research directions include technological advancements, financial and ethical challenges, and the potential for collaboration with human health monitoring to advance the field of physiologging in free-ranging animals.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Jiuwei Gao, Yubo Fan, Qingtian Zhang, Lei Luo, Xiaoqi Hu, Yue Li, Juncai Song, Hanjun Jiang, Xiaoyu Gao, Lu Zheng, Wu Zhao, Zhenhua Wang, Wei Ai, Yuan Wei, Qianbo Lu, Manzhang Xu, Yongtian Wang, Weitao Song, Xuewen Wang, Wei Huang
Summary: This study develops robust and stretchable conducting microfibers for fabricating mechanical sensors. The sensor shows high sensitivity in detecting strains and low frequency vibrations, making it suitable for a wide range of applications.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Analytical
Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska
Summary: This paper presents a self-supervised learning method using generative adversarial networks (GANs) for image colorization. By transferring the knowledge gained from colorization to other tasks, such as classification and segmentation, significant improvements in performance are achieved without manual annotation.
Review
Chemistry, Analytical
Luis Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires
Summary: This paper presents a systematic review and analysis of sensor-based methods for measuring functional movements during the execution of the Eight Hop Test. The study found that motion sensors, force sensors, and imaging sensors can be used for the measurement of the Eight Hop Test.
Review
Medicine, General & Internal
Jose Camara, Alexandre Neto, Ivan Miguel Pires, Maria Vanessa Villasana, Eftim Zdravevski, Antonio Cunha
Summary: This article reviews the diagnostic methods used to identify the glaucomatous papilla through technology over the last five years. The current challenges and shortcomings of these methods are analyzed, particularly in terms of automation and independence. Future research topics and challenges to be solved are proposed.
Review
Computer Science, Information Systems
Hanna Vitaliyivna Denysyuk, Joao Amado, Norberto Jorge Goncalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires
Summary: This study evaluates the current situation of cardiovascular diseases and the role of mobile applications in patient monitoring and reporting, and provides suggestions for improvement.
Article
Health Care Sciences & Services
Maja Videnovik, Tone Vold, Georgina Dimova, Linda Vibeke Kionig, Vladimir Trajkovik
Summary: The study shows that digital escape room-style games can be used as an educational tool to engage students in learning and achieve learning outcomes. The design thinking methodology proves to be useful in adding educational value to the game.
JMIR SERIOUS GAMES
(2022)
Review
Health Care Sciences & Services
Elena Vlahu-Gjorgievska, Andrea Burazor, Khin Than Win, Vladimir Trajkovik
Summary: Overweight and obesity are associated with serious health problems. Mobile health apps have the potential to improve health outcomes, but user adherence to interventions is low. This research reviewed and analyzed mHealth apps targeting obesity and proposed guidelines for their development using user interface design patterns to maximize the impact of behavior change techniques.
JMIR MHEALTH AND UHEALTH
(2023)
Article
Computer Science, Interdisciplinary Applications
Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov
Summary: This paper introduces PharmKE, a text analysis platform tailored to the pharmaceutical industry that uses deep learning to perform semantic analysis of relevant publications. The platform effectively addresses the challenge of tagging domain-specific entities that pre-trained models struggle with, and achieves high performance in identifying entities in pharmaceutical texts.
Article
Chemistry, Multidisciplinary
Dimitris Filos, Jomme Claes, Veronique Cornelissen, Evangelia Kouidi, Ioanna Chouvarda
Summary: This study used machine learning techniques to predict the 6-month adherence of cardiovascular disease patients to a home-based telemonitoring cardiac rehabilitation program. By combining patient characteristics with actual program participation during a familiarization phase, the study found that machine learning can accurately predict long-term adherence and improve personalized enrollment strategies and resource allocation.
APPLIED SCIENCES-BASEL
(2023)
Review
Multidisciplinary Sciences
Hanna Vitaliyivna Denysyuk, Rui Joao Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, Luis Pimenta, Antonio Jorge Gouveia, Norberto Jorge Goncalves, Paulo Jorge Coelho, Eftim Zdravevski, Petre Lameski, Valderi Leithardt, Nuno M. Garcia, Ivan Miguel Pires
Summary: The prevalence of cardiovascular diseases is increasing globally. Advances in technology, such as low-cost sensors, enable continuous monitoring. This study presents a systematic review of 103 scientific papers on disease identification, classification, and recognition using ECG sensors. Different datasets and machine learning algorithms, such as Convolutional Neural Network and Support Vector Machine, have been identified. This review can inform the development of systems that empower patients.
Article
Environmental Sciences
Nuno Reis, Jose Machado da Silva, Miguel Velhote Correia
Summary: The increased demand for autonomous driving and advanced driver assistance systems has raised concerns about abnormalities within the perception layers. Lack of standardized testing formats and analysis methods for LiDAR-acquired data has been noted. Compared to camera-based approaches, LiDAR shows more reliability in situations with impaired visibility. However, research on anomaly detection and data validation is limited compared to other methods. This paper introduces a novel method that uses statistical approach to detect patterns and complement the evaluation of LiDAR data.
Review
Environmental Sciences
Elena Mitreska Jovanovska, Victoria Batz, Petre Lameski, Eftim Zdravevski, Michael A. Herzog, Vladimir Trajkovik
Summary: This study focuses on the measurement and prediction of air pollution in urban environments, using machine learning as an effective method. Through a thorough comparison of research papers, the study identifies the most frequently predicted air pollutants, the ML models used, and the best models for determining city air quality. The study also highlights the advancements made in air pollution measurement and prediction systems, providing ready-to-use solutions for decision-makers.
Article
Medicine, General & Internal
Nikolaos Kakaletsis, George Ntaios, Haralampos Milionis, Anastasia Karagiannaki, Ioanna Chouvarda, Vasiliki Dourliou, Ioannis Ladakis, Georgia Kaiafa, Konstantinos Vemmos, Christos Savopoulos
Summary: The purpose of this study was to investigate the alterations in blood pressure (BP) during midday and the changes in circadian BP patterns in the acute phase of ischemic stroke (AIS) with the severity of stroke and their predictive role outcomes within 3 months. The study found that midday SBP dippers had less severe strokes and better outcomes compared to risers. There was also a reverse relation between midday SBP dipping and both nocturnal dipping and stroke severity.
JOURNAL OF CLINICAL MEDICINE
(2023)
Review
Education & Educational Research
Maja Videnovik, Tone Vold, Linda Kionig, Ana Madevska Bogdanova, Vladimir Trajkovik
Summary: Using games in education increases students' motivation and engagement, providing them with practical knowledge. The growing interest in incorporating game-based learning into computer science education necessitates a comprehensive review of the existing literature. This scoping review identifies current trends, research gaps, and potential research topics in game-based learning for computer science. The results indicate an increasing number of articles and highlight the need for a standardized game and methodology for educational game development, as well as the exploration of other computer science topics beyond programming.
INTERNATIONAL JOURNAL OF STEM EDUCATION
(2023)
Review
Computer Science, Information Systems
Chiranjeevi Karri, Jose Machado da Silva, Miguel Velhote Correia
Summary: This paper provides an overview of the evaluation of LiDAR-based perception systems, focusing on object detection, tracking, and panoptic segmentation algorithms. It discusses the importance of these algorithms and presents various metrics, including Planning KL-Divergence, Timed Quality Temporal Logic, and Spatio-temporal Quality Logic, for evaluating object detection algorithms. The paper also analyzes the metrics Panoptic Quality and Parsing Covering for panoptic segmentation using pretrained models, and applies diverse metrics to evaluate different pretrained models with their respective perception algorithms on publicly available datasets.