Clint Hansen

Orcid: 0000-0003-4813-3868

According to our database1, Clint Hansen authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review.
Sensors, February, 2024

2023
Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch.
Sensors, November, 2023

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings.
Medical Biol. Eng. Comput., September, 2023

Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.
Sensors, April, 2023

Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables.
Sensors, 2023

2022
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.
Sensors, 2022

Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.
Sensors, 2022

Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases.
Sensors, 2022

Objective Measurement of Walking Activity Using Wearable Technologies in People with Parkinson Disease: A Systematic Review.
Sensors, 2022

Full-Body Mobility Data to Validate Inertial Measurement Unit Algorithms in Healthy and Neurological Cohorts.
Data, 2022

Automated Mobility Context Detection with Inertial Signals.
CoRR, 2022

2021
Step Length Is a Promising Progression Marker in Parkinson's Disease.
Sensors, 2021

Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol.
Sensors, 2021

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.
Sensors, 2021

Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup.
Sensors, 2021

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson's Disease.
Sensors, 2021

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.
npj Digit. Medicine, 2021

2020
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.
Sensors, 2020

Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation.
Sensors, 2020

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.
Sensors, 2020

A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking.
Sensors, 2020

Estimating Human Wrist Stiffness during a Tooling Task.
Sensors, 2020

Effect of a Concurrent Cognitive Task, with Stabilizing Visual Information and Withdrawal, on Body Sway Adaptation of Parkinsonian's Patients in an Off-Medication State: A Controlled Study.
Sensors, 2020

2019
Subject specific hand and forearm musculoskeletal 3D geometries using high-resolution MR images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

2017
Joint stiffness and mechanical impedance estimation during a tooling task.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

2016
Applied a Multi-scale Entropy Algorithm to Analyze Dynamic COP Signal via Accelerometer Sensor.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Instrumentation of a hand-held power tool for capturing dynamic interaction during finishing tasks.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

Role of EMG as a complementary tool for assessment of motor impairment.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016


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