Cargando…

Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques

Wearable sensors have the potential to enable comprehensive patient characterization and optimized clinical intervention. Critical to realizing this vision is accurate estimation of biomechanical time-series in daily-life, including joint, segment, and muscle kinetics and kinematics, from wearable s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gurchiek, Reed D., Cheney, Nick, McGinnis, Ryan S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928851/ https://www.ncbi.nlm.nih.gov/pubmed/31795151 http://dx.doi.org/10.3390/s19235227

Ejemplares similares

Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning
por: McGinnis, Ryan S., et al.
Publicado: (2019)

Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles
por: Adamowicz, Lukas, et al.
Publicado: (2019)

A Digital Therapeutic Intervention Delivering Biofeedback for Panic Attacks (PanicMechanic): Feasibility and Usability Study
por: McGinnis, Ellen, et al.
Publicado: (2022)

Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis
por: Meyer, Brett M., et al.
Publicado: (2022)

Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning
por: McClure, Kristin, et al.
Publicado: (2020)

Advancing Digital Medicine with Wearables in the Wild
por: McGinnis, Ryan S., et al.
Publicado: (2022)

How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway
por: Meyer, Brett M., et al.
Publicado: (2022)

Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model
por: Potter, Michael V., et al.
Publicado: (2021)

Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits
por: Potter, Michael V., et al.
Publicado: (2022)

A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis
por: McGinnis, Ryan S., et al.
Publicado: (2017)

Wearable sensors detect childhood internalizing disorders during mood induction task
por: McGinnis, Ellen W., et al.
Publicado: (2018)

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

Monitoring gait in multiple sclerosis with novel wearable motion sensors
por: Moon, Yaejin, et al.
Publicado: (2017)

An Exploration of Machine-Learning Estimation of Ground Reaction Force from Wearable Sensor Data
por: Hendry, Danica, et al.
Publicado: (2020)

Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy
por: Loftness, Bryn C., et al.
Publicado: (2023)

Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis
por: Derungs, Adrian, et al.
Publicado: (2020)

Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application
por: Gurchiek, Reed D., et al.
Publicado: (2019)

Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning
por: Stetter, Bernd J., et al.
Publicado: (2019)

On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection
por: Tsinganos, Panagiotis, et al.
Publicado: (2018)

Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data
por: McGinnis, Ellen W., et al.
Publicado: (2023)

Inertial Sensors—Applications and Challenges in a Nutshell
por: Seel, Thomas, et al.
Publicado: (2020)

Biomechanical Gait Variable Estimation Using Wearable Sensors after Unilateral Total Knee Arthroplasty
por: Youn, Ik-Hyun, et al.
Publicado: (2018)

Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis
por: Meyer, Brett M., et al.
Publicado: (2023)

New Considerations for Collecting Biomechanical Data Using Wearable Sensors: The Effect of Different Running Environments
por: Benson, Lauren C., et al.
Publicado: (2020)

Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment
por: Donahue, Seth R., et al.
Publicado: (2023)

Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation
por: Kwon, Michelle P., et al.
Publicado: (2023)

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

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach
por: Conforti, Ilaria, et al.
Publicado: (2020)

Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot ambulation
por: Kwon, Michelle P., et al.
Publicado: (2023)

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling
por: Giannini, Paolo, et al.
Publicado: (2020)

Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach
por: Kobsar, Dylan, et al.
Publicado: (2018)

A Wearable-Sensor System with AI Technology for Real-Time Biomechanical Feedback Training in Hammer Throw †
por: Wang, Ye, et al.
Publicado: (2022)

Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review
por: Xiang, Liangliang, et al.
Publicado: (2022)

Extracting biologically significant patterns from short time series gene expression data
por: Tchagang, Alain B, et al.
Publicado: (2009)

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

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers
por: Zago, Matteo, et al.
Publicado: (2019)

Seizure detection using wearable sensors and machine learning: Setting a benchmark
por: Tang, Jianbin, et al.
Publicado: (2021)

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms
por: Gadaleta, Matteo, et al.
Publicado: (2021)

Evaluation of surgical skill using machine learning with optimal wearable sensor locations
por: Soangra, Rahul, et al.
Publicado: (2022)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors
por: Irshad, Muhammad Tausif, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_eug0168gjtcq8qrp1r8d1srd5t