Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives by Seeck, Andrea, Pilgram, Roland, Sanz, Ernst, Schuepbach, Michael, Goernig, Matthias, Huebner, Thomas, Voss, Andreas

“…Telemedicine and ambient-assisted living support the electrocardiological monitoring of at-risk patients. …”
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Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models by Zhe Yang, Mengjie Qu, Yun Pan, Ruohong Huan

“…Human activities recognition (HAR) plays a vital role in fields like ambient assisted living and health monitoring, in which cross-subject recognition is one of the main challenges coming from the diversity of various users. …”
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The impact of digital technologies in nursing care and their application: A narrative review by Narges Toghian Chaharsoughi, Mansoureh Ahmadifaraz, Leila Sadat Kahangi

“…This study uses digital technology in nursing care: Information and communication technology (ICT), ambient assisted living, assistive devices, monitoring/sensors, robotic technology, and virtual reality. …”
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IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing by Daniel Fuentes, Luís Correia, Nuno Costa, Arsénio Reis, José Ribeiro, Carlos Rabadão, João Barroso, António Pereira

“…This work researches and proposes an affordable Ambient Assisted Living (AAL)-based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. …”
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An IoT-Aware Approach for Elderly-Friendly Cities by Ruben Mulero, Aitor Almeida, Gorka Azkune, Patricia Abril-Jimenez, Maria Teresa Arredondo Waldmeyer, Miguel Paramo Castrillo, Luigi Patrono, Piercosimo Rametta, Ilaria Sergi

“…Information and communication technologies, and in particular Internet of Things technologies, can foster the creation of monitoring and intervention systems, both on an ambient-assisted living and smart city scope, for early detecting behavioral changes in elderly people. …”
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Detection of Anomalies in Daily Activities Using Data from Smart Meters by Álvaro Hernández, Rubén Nieto, Laura de Diego-Otón, María Carmen Pérez-Rubio, José M. Villadangos-Carrizo, Daniel Pizarro, Jesús Ureña

“…The proposal might be applied to the generation of a short-term alarm, which can be involved in future deployments and developments in the field of ambient assisted living.…”
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Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection by Marina Paolanti, Luca Romeo, Daniele Liciotti, Rocco Pietrini, Annalisa Cenci, Emanuele Frontoni, Primo Zingaretti

“…Person re-identification is an important topic in retail, scene monitoring, human-computer interaction, people counting, ambient assisted living and many other application fields. …”
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Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review by Ivan Miguel Pires, Rui Santos, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva, Eftim Zdravevski

“…An increase in the accuracy of identification of Activities of Daily Living (ADL) is very important for different goals of Enhanced Living Environments and for Ambient Assisted Living (AAL) tasks. This increase may be achieved through identification of the surrounding environment. …”
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Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

“…In particular, machine learning (ML) sensors for the prompt diagnosis of COVID-19 are an important option for IoT application in healthcare and ambient assisted living (AAL). Determining a COVID-19 infected status with various diagnostic tests and imaging results is costly and time-consuming. …”
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Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method by Natalia Díaz-Rodríguez, Olmo León Cadahía, Manuel Pegalajar Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores

“…Human activity recognition is a key task in ambient intelligence applications to achieve proper ambient assisted living. There has been remarkable progress in this domain, but some challenges still remain to obtain robust methods. …”
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Edge-Computing Meshed Wireless Acoustic Sensor Network for Indoor Sound Monitoring by Selene Caro-Via, Ester Vidaña-Vila, Gerardo José Ginovart-Panisello, Carme Martínez-Suquía, Marc Freixes, Rosa Ma Alsina-Pagès

“…This WASN has been conceived to work in any type of indoor environment, including houses, hospitals, universities or even libraries, where the tracking of people can give relevant insight, with a focus on ambient assisted living environments. The proposed WASN has several priorities and differences compared to the literature: (i) presenting a low-cost flexible sensor able to monitor wide indoor areas; (ii) balance between acoustic quality and microphone cost; and (iii) good communication between nodes to increase the connectivity coverage. …”
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Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes by Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simone Orcioni, Claudio Turchetti

“…Abstract Background The human activity monitoring technology is one of the most important technologies for ambient assisted living, surveillance-based security, sport and fitness activities, healthcare of elderly people. …”
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Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies by Elliot Mbunge, Benhildah Muchemwa, Sipho'esihle Jiyane, John Batani

“…Healthcare 5.0 provides healthcare services including patient remote monitoring, tracking and virtual clinics, emotive telemedicine, ambient assisted living, smart self-management, wellness monitoring and control, smart treatment reminders, compliance and adherence, and personalized and connected health care. …”
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Comparing Human Activity Recognition Models Based on Complexity and Resource Usage by Simon Angerbauer, Alexander Palmanshofer, Stephan Selinger, Marc Kurz

“…Human Activity Recognition (HAR) is a field with many contrasting application domains, from medical applications to ambient assisted living and sports applications. With ever-changing use cases and devices also comes a need for newer and better HAR approaches. …”
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Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval by Muhammad Afzal, Maqbool Hussain, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan, Sungyoung Lee, Byeong Ho Kang

“…This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.…”
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Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Al-Garadi, Mohammed Ali

“…Activity detection and classification using different sensor modalities have emerged as revolutionary technology for real-time and autonomous monitoring in behaviour analysis, ambient assisted living, activity of daily living (ADL), elderly care, rehabilitations, entertainments and surveillance in smart home environments. …”

Computer Vision for Assistive Healthcare / by Marco, Leo, editor 649746, Farinella, Giovanni Maria, editor 571359, ScienceDirect (Online service) 7722

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ATTICUS: Ambient-Intelligent Tele-monitoring and Telemetry for Incepting and Catering Over hUman Sustainability by Gennaro Laudato, Simone Scalabrino, Angela Rita Colavita, Quintiliano Chiacchiari, Romolo D'Orazio, Roberto Donadelli, Luca De Vito, Francesco Picariello, Ioan Tudosa, Raffaele Malatesta, Lolita Gallo, Rocco Oliveto

“…In this article, we present ATTICUS (Ambient-intelligent Tele-monitoring and Telemetry for Incepting and Catering over hUman Sustainability), an innovative remote monitoring system for ambient-assisted living based on the analysis of vital and behavioral parameters. …”
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Adaptability of Assistive Mobility Devices and the Role of the Internet of Medical Things: Comprehensive Review by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M Abu-Mahfouz

“…The following keywords were used: assistive mobility OR assistive robots, assistive mobility devices, internet-enabled assistive mobility technologies, IoT Framework OR IoT Architecture AND for Healthcare, assisted navigation OR autonomous navigation, mobility AND aids OR devices, adaptability of assistive technology, adaptive mobility devices, pattern recognition, autonomous navigational systems, human-robot interfaces, motor rehabilitation devices, perception, and ambient assisted living. ResultsWe identified 13,286 results (excluding titles that were not relevant to this study). …”
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STC-NLSTMNet: An Improved Human Activity Recognition Method Using Convolutional Neural Network with NLSTM from WiFi CSI by Md Shafiqul Islam, Mir Kanon Ara Jannat, Mohammad Nahid Hossain, Woo-Su Kim, Soo-Wook Lee, Sung-Hyun Yang

“…Human activity recognition (HAR) has emerged as a significant area of research due to its numerous possible applications, including ambient assisted living, healthcare, abnormal behaviour detection, etc. …”
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