Cargando…

Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments. The main objective of this study was to develop the method of automatic recognition of sedentary behavior related to...

Descripción completa

Detalles Bibliográficos
Autor principal:	Kańtoch, Eliasz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210891/ https://www.ncbi.nlm.nih.gov/pubmed/30249987 http://dx.doi.org/10.3390/s18103219

Ejemplares similares

Cardiovascular and Pre-Frailty Risk Assessment during Shelter-In-Place Measures Based on Multimodal Biomarkers Collected from Smart Telemedical Wearables
por: Kańtoch, Eliasz, et al.
Publicado: (2021)

What Features and Functions Are Desired in Telemedical Services Targeted at Polish Older Adults Delivered by Wearable Medical Devices?—Pre-COVID-19 Flashback
por: Kańtoch, Eliasz, et al.
Publicado: (2020)

Seamless Tracing of Human Behavior Using Complementary Wearable and House-Embedded Sensors
por: Augustyniak, Piotr, et al.
Publicado: (2014)

Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living
por: Beltrame, T., et al.
Publicado: (2017)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
por: Nisar, Muhammad Adeel, et al.
Publicado: (2023)

Sensor Fusion for Recognition of Activities of Daily Living
por: Wu, Jiaxuan, et al.
Publicado: (2018)

The telemedical imperative
por: Parsons, Jordan A.
Publicado: (2021)

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
por: Ni, Qin, et al.
Publicado: (2020)

Sedentary Behavior and the Use of Wearable Technology: An Editorial
por: O’Keeffe, Nathan, et al.
Publicado: (2020)

Open-Source Strain Gauge System for Monitoring Pressure Distribution of Runner’s Feet
por: Kromołowska, Klaudia, et al.
Publicado: (2023)

Wearable-Sensors-Based Platform for Gesture Recognition of Autism Spectrum Disorder Children Using Machine Learning Algorithms
por: Siddiqui, Uzma Abid, et al.
Publicado: (2021)

Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor
por: Ravenscroft, Dafydd, et al.
Publicado: (2021)

Recognition of Daily Gestures with Wearable Inertial Rings and Bracelets
por: Moschetti, Alessandra, et al.
Publicado: (2016)

Telemedical education during national emergencies: learning from Kashmir
por: Imtiyaz, Bushra S, et al.
Publicado: (2020)

Detecting Falls with Wearable Sensors Using Machine Learning Techniques
por: Özdemir, Ahmet Turan, et al.
Publicado: (2014)

Stress Monitoring Using Machine Learning, IoT and Wearable Sensors
por: Al-Atawi, Abdullah A., et al.
Publicado: (2023)

Behavioral Medicine for Sedentary Behavior, Daily Physical Activity, and Exercise to Prevent Cardiovascular Disease: A Review
por: Hannan, Mary, et al.
Publicado: (2021)

Evaluating Behavior Recognition Pipeline of Laying Hens Using Wearable Inertial Sensors
por: Fujinami, Kaori, et al.
Publicado: (2023)

Recognition of Cattle's Feeding Behaviors Using Noseband Pressure Sensor With Machine Learning
por: Chen, Guipeng, et al.
Publicado: (2022)

Classification of Daily Activities for the Elderly Using Wearable Sensors
por: Liu, Jian, et al.
Publicado: (2017)

Deep Learning for Daily Monitoring of Parkinson’s Disease Outside the Clinic Using Wearable Sensors
por: Atri, Roozbeh, et al.
Publicado: (2022)

Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models
por: Iaboni, Andrea, et al.
Publicado: (2022)

Assessing Upper Limb Function in Breast Cancer Survivors Using Wearable Sensors and Machine Learning in a Free-Living Environment
por: Vets, Nieke, et al.
Publicado: (2023)

Characteristics of successfully implemented telemedical applications
por: Obstfelder, Aud, et al.
Publicado: (2007)

Activity recognition with wearable sensors on loose clothing
por: Michael, Brendan, et al.
Publicado: (2017)

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
por: Li, Frédéric, et al.
Publicado: (2018)

Personalized Human Activity Recognition Based on Integrated Wearable Sensor and Transfer Learning
por: Fu, Zhongzheng, et al.
Publicado: (2021)

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
por: Zhang, Shibo, et al.
Publicado: (2022)

Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors
por: Yurtman, Aras, et al.
Publicado: (2017)

Sensor Type, Axis, and Position-Based Fusion and Feature Selection for Multimodal Human Daily Activity Recognition in Wearable Body Sensor Networks
por: Badawi, Abeer A., et al.
Publicado: (2020)

Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks
por: Hssayeni, Murtadha D., et al.
Publicado: (2021)

Patients with Cardiovascular Implantable Electronic Devices in the Era of COVID-19 and Their Response to Telemedical Solutions
por: Paskudzka, Diana, et al.
Publicado: (2022)

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction
por: Yang, Haitao, et al.
Publicado: (2022)

Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework †
por: Davila, Juan Carlos, et al.
Publicado: (2017)

Human activity recognition : using wearable sensors and smartphones
por: Labrador, Miguel A, et al.
Publicado: (2014)

Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
por: Banos, Oresti, et al.
Publicado: (2014)

Physical Human Activity Recognition Using Wearable Sensors
por: Attal, Ferhat, et al.
Publicado: (2015)

Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data
por: Cavalcante, Ariany F., et al.
Publicado: (2023)

Telemedical assessment of the level of energy expenditure in overweight and obese individuals
por: Saran, Tomasz, et al.
Publicado: (2017)

Telemedical Education: Training Digital Natives in Telemedicine
por: Pathipati, Akhilesh S, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_8cs3a0evdnov4tcttq6oddoo0e