Article
Multidisciplinary Sciences
Wiktoria Wilkowska, Julia Offermann, Susanna Spinsante, Angelica Poli, Martina Ziefle
Summary: This study investigated the technology acceptance and privacy perceptions of sensor-based applications implemented in private environments. The results showed that participants recognized the benefits of these technologies but had limited intention to use them. They highly valued their privacy and considered the collection of data in intimate spaces as problematic.
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)
Article
Automation & Control Systems
Lucia Cascone, Michele Nappi, Fabio Narducci, Ignazio Passero
Summary: The article discusses the development of VPepper, a virtual replica of the Pepper robot, and its interaction with smart objects in a smart home environment. Through the use of digital twin, machine learning procedures can be seamlessly transferred between the virtual replica and the physical robot. The practical application shows promising opportunities for simulation accuracy and machine learning instruments in real settings.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Jie Wan, MingSong Li, Michael J. OGrady, Xiang Gu, Munassar A. A. H. Alawlaqi, Gregory M. P. OHare
Summary: Real-time activity recognition is essential for smart homes, but is currently dominated by the research community using machine learning and AI techniques. Research mainly relies on pre-segmented data, which may not be sufficient for assistive paradigms dependent on smart technologies.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Geriatrics & Gerontology
Derek R. Manis, Paul Katz, Natasha E. Lane, Paula A. Rochon, Samir K. Sinha, Ross Andel, George A. Heckman, David Kirkwood, Andrew P. Costa
Summary: This study investigates the changes in sociodemographic characteristics, clinical comorbidities, and transitions between care settings among residents of assisted living facilities in Ontario, Canada. The findings reveal that there has been a 34% relative increase in the resident population size of assisted living facilities within less than a decade, indicating a progressive increase in clinical complexity. The study suggests the implementation of on-site medical care aligned with the needs of these older adults.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2023)
Review
Health Care Sciences & Services
Mladjan Jovanovic, Goran Mitrov, Eftim Zdravevski, Petre Lameski, Sara Colantonio, Martin Kampel, Hilda Tellioglu, Francisco Florez-Revuelta
Summary: This study presents a scoping review of AI models in Ambient Assisted Living (AAL), analyzing the specific models used, target domains, technology, and concerns from the end-user perspective. The findings provide insights for the development, deployment, and evaluation of future intelligent AAL systems.
JOURNAL OF MEDICAL INTERNET RESEARCH
(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.
Review
Information Science & Library Science
Gloria Puliga, Akhatjon Nasullaev, Flavio Bono, Eugenio Gutierrez, Fernanda Strozzi
Summary: The authors analyzed the impact of European funding research programmes on Ambient Assisted Living technology through a systematic literature review. They found that the funding programs led to increased scientific production and identified three main research directions: activity and vital sign recognition, human-computer interaction, and technology acceptance.
INFORMATION TECHNOLOGY & PEOPLE
(2021)
Review
Health Care Sciences & Services
Carolina Wannheden, Matilda Aberg-Wennerholm, Marie Dahlberg, Asa Revenas, Sara Tolf, Elena Eftimovska, Mats Brommels
Summary: The study identified six common features of participatory health technologies: patient-professional communication, self-monitoring, tailored self-care support, self-care education, care planning, and community forums for peer-to-peer interactions. The findings emphasized the importance of clarifying mutual expectations and carefully considering the implications of introducing participatory health technologies on both individual patients and health care professionals, as well as collaboration.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Computer Science, Information Systems
Ijaz Ahmad, Zeeshan Asghar, Tanesh Kumar, Gaolei Li, Ahsan Manzoor, Konstantin Mikhaylov, Syed Attique Shah, Marko Hoyhtya, Jarmo Reponen, Jyrki Huusko, Erkki Harjula
Summary: This article discusses the latest technologies and technological paradigms in remote health care, emphasizing the need to use the latest technological developments and conducting a survey of existing technologies, challenges, and solutions. It also presents research gaps and future research directions to motivate further research in remote health care.
Article
Geriatrics & Gerontology
Oluwagbohunmi A. Awosoga, Adesola Christiana Odole, Ogochukwu Kelechi Onyeso, Jon Doan, Christina Nord, Ifeoma Blessing Nwosu, Claudia Steinke, Joshua O. Ojo, Ezinne Chika Ekediegwu, Sheli Murphy
Summary: This study investigated the well-being of professional caregivers in Alberta's long-term care and assisted living facilities, including their physical health conditions, mental and emotional health, health behavior, stress levels, quality of life, and turnover and absenteeism. The results showed that reducing work stressors, improving quality of life, health behavior, and mental, emotional, and physical health conditions could increase job satisfaction and reduce turnover and absenteeism among caregivers.
Article
Environmental Sciences
Xiaoming Jiang, Jiali Cai, Xinli Wang, Lanlan Liu, Jianzhi Ren, Renjie Chen
Summary: The study aimed to investigate the associations between exposure to ambient air pollutants and birthweight following ART treatment. The findings suggested a linear association between O3 and SO2 exposure and birthweight in fresh cycles, but no significant association was found in FET cycles. The study also explored the interactions between exposures and ART-related factors, with limited importance observed.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Chemistry, Analytical
Caetano Mazzoni Ranieri, Scott MacLeod, Mauro Dragone, Patricia Amancio Vargas, Roseli Aparecida Francelin Romero
Summary: Global demographic projections showing an aging population have driven research on Ambient Assisted Living, focusing on smart homes and social robots. This paper addresses the recognition of heterogeneous daily living activities in home environments using data from videos, wearable IMUs, and ambient sensors. The study introduces a Deep Learning framework for multimodal activity recognition in collaboration with the HWU-USP dataset, demonstrating improved accuracy results through the integration of ambient sensor data.
Article
Psychology, Multidisciplinary
Rejane Coan Ferretti Mayer, Maira Ramos Alves, Sueli Miyuki Yamauti, Marcus Tolentino Silva, Luciane Cruz Lopes
Summary: This study analyzed the Quality of Life (QoL) and level of functioning of people with mental disorders who underwent deinstitutionalization. The findings suggest that individuals who are studying have better QoL and functioning levels. There is a weak negative correlation between higher QoL scores and functioning improvement, indicating the importance of social interactions for this population.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Computer Science, Information Systems
George A. Oguntala, Yim Fun Hu, Ali A. S. Alabdullah, Raed A. Abd-Alhameed, Muhammad Ali, Doanh K. Luong
Summary: The proposed framework integrates passive RFID tags' RSSI to obtain detailed activity profiling, and employs key indices of position, orientation, mobility, and degree of activities to guide reliable clinical management decisions. A two-layer, fully connected sequence LSTM RNN model is utilized to extract features from sensor data and classify activities, achieving an accuracy of 98.18%. This framework is suitable for smart health and smart homes, providing a pervasive sensing environment for the elderly, persons with disabilities, and chronic illnesses.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Audiology & Speech-Language Pathology
Jonathan Albert Goesswein, Jan Rennies, Rainer Huber, Tobias Bruns, Andrea Hildebrandt, Birger Kollmeier
Summary: This study examined the effects of different adjustment criteria and sound scenes on self-adjusted hearing-aid gain settings. The results showed that these factors had a significant impact on the preferred gain settings, with participants generally preferring the self-adjusted settings.
INTERNATIONAL JOURNAL OF AUDIOLOGY
(2023)
Article
Health Care Sciences & Services
Claudia R. Pischke, Claudia Voelcker-Rehage, Tiara Ratz, Manuela Peters, Christoph Buck, Jochen Meyer, Kai von Holdt, Sonia Lippke
Summary: This study compared the acceptance and effectiveness of two interventions for promoting physical activity in older adults. The results showed that there was little movement between intervention groups when given the choice, and participation was not associated with increases in physical activity or decreases in sedentary behavior over time.
JMIR MHEALTH AND UHEALTH
(2022)
Article
Computer Science, Information Systems
Jen Bichel-Findlay, Sabine Koch, John Mantas, Shabbir S. Abdul, Najeeb Al-Shorbaji, Elske Ammenwerth, Analia Baum, Elizabeth M. Borycki, George Demiris, Arie Hasman, William Hersh, Evelyn Hovenga, Ursula H. Huebner, Elaine S. Huesing, Andre Kushniruk, Kye Hwa Lee, Christoph U. Lehmann, Svein-Ivar Lillehaug, Heimar F. Marin, Michael Marschollek, Fernando Martin-Sanchez, Mark Merolli, Aurore Nishimwe, Kaija Saranto, Danielle Sent, Aviv Shachak, Jai Ganesh Udayasankaran, Martin C. Were, Graham Wright
Summary: The International Medical Informatics Association (IMIA) has published recommendations for biomedical and health informatics (BMHI) education to support educators, identify essential skills, provide an evaluation tool, and encourage the establishment and development of BMHI educational programs. IMIA's taskforce updated the recommendations, which cover various domains, programs, and levels of education in BMHI. Accreditation and information exchange on BMHI programs and courses are also provided.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Matthias Ganzinger, Max Blumenstock, Axel Fuerstberger, Leonard Greulich, Hans A. Kestler, Michael Marschollek, Christian Niklas, Tim Schneider, Cord Spreckelsen, Erik Tute, Julian Varghese, Martin Dugas
Summary: Structured documentation of findings is important in clinical research and patient care. Integration of electronic case report forms (eCRF) with electronic health records (EHR) is challenging when researchers from different institutions collaborate. To address this issue, a novel architecture for a federated electronic data capture system (fEDC) was proposed.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Article
Health Care Sciences & Services
Longdan Hao, Stefan Goetze, Tourkiah Alessa, Mark S. Hawley
Summary: This systematic review and meta-analysis examines the effectiveness of computer-tailored health communication (CTHC) in increasing physical activity for individuals with or at risk of long-term conditions. The results indicate that CTHC has a significant small to medium effect in promoting physical activity compared to general health information or no information. However, further studies are needed to guide design decisions for maximizing the effectiveness of CTHC.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Keno Garlichs, Maximilian Huber, Lars Wolf
Summary: This article presents a concept for a human-machine interface that can warn drivers about dangerous objects in vehicular networking. A user study in a driving simulator was conducted to evaluate its effectiveness, using eye-tracking glasses to analyze the driver's gaze and a questionnaire to gauge subjective experience. The results indicate that drivers trust the system, brake earlier and with more control due to the warnings, and ultimately, the majority of accidents could be avoided.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Proceedings Paper
Acoustics
George Close, Thomas Hain, Stefan Goetze
Summary: Recent work in speech enhancement has explored the use of self-supervised speech representations (SSSRs) in the loss functions. However, the relationship between the language used to train the self-supervised representation and the language used to train the enhancement system has received little attention. This study investigates the effect of training language and amount of training data on the performance of the enhancement models across different languages. The results show that the training language of the self-supervised representation has a minor effect on performance, while the amount of training data for a specific language greatly affects performance.
2023 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS, WASPAA
(2023)
Proceedings Paper
Acoustics
William Ravenscroft, Stefan Goetze, Thomas Hain
Summary: This paper proposes a weighted multi-dilation temporal convolutional network (WD-TCN) for speech dereverberation task, which consistently outperforms the traditional TCN model in various model configurations, and using WD-TCN is a more parameter-efficient method.
2022 INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC 2022)
(2022)
Proceedings Paper
Acoustics
Jana Rossbach, Rainer Huber, Saskia Roettges, Christopher F. Hauth, Thomas Biberger, Thomas Brand, Bernd T. Meyer, Jan Rennies
Summary: The prediction of speech recognition is crucial for optimizing speech enhancement algorithms. A non-intrusive model for predicting listening effort outperforms the intrusive MBSTOI method in both closed and open datasets.
Proceedings Paper
Acoustics
George Close, Samuel Hollands, Thomas Hain, Stefan Goetze
Summary: This paper proposes neural models for predicting Speech Intelligibility (SI) and trains and fine-tunes intrusive SI predictors on true HSR scores. The results show that neural predictors outperform non-neural baselines after fine-tuning on the true HSR scores.
Proceedings Paper
Computer Science, Theory & Methods
Robert Hartung, Ulf Kulau, Torben Petersen, Lars Wolf
Summary: In this paper, the authors investigate the effect of temperature on outdoor wireless sensor networks. They conduct experiments on homogeneous and heterogeneous networks, and find that there is an even stronger relationship between nodes. This research provides a starting point for further investigations in this area.
2022 IEEE 19TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2022)
(2022)
Proceedings Paper
Acoustics
William Ravenscroft, Stefan Goetze, Thomas Hain
Summary: This paper analyzes the impact of model size and receptor field (RF) on the dereverberation performance of TCNs in speech processing. The experiments show that larger RF can significantly improve performance when training smaller TCN models. It is also found that TCNs benefit from a wider RF when dereverberating room impulse responses (RIRs) with larger RT60 values.
2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022)
(2022)
Proceedings Paper
Acoustics
George Close, Thomas Hain, Stefan Goetze
Summary: Training speech enhancement systems with psychoacoustically motivated speech perception metrics can improve performance and generalization.
2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022)
(2022)
Article
Acoustics
Jule Pohlhausen, Inga Holube, Joerg Bitzer
Summary: Recently, there has been a lot of attention on exploring the acoustic conditions of people in their everyday environments. This contribution proposes an algorithm to determine the own-voice audio segments (OVS) and a method for measuring sound pressure levels (SPL). The algorithm, based on machine learning and acoustic features, allows for reliable own voice detection.
Article
Engineering, Electrical & Electronic
William Ravenscroft, Stefan Goetze, Thomas Hain
Summary: This paper proposes a method to enhance the performance of speech separation networks using multihead attention mechanisms. Experimental results show that this method can significantly improve the quality and intelligibility of speech separation in noisy and reverberant environments.
FRONTIERS IN SIGNAL PROCESSING
(2022)
