Lynn Rochester

Orcid: 0000-0001-5774-9272

According to our database1, Lynn Rochester authored at least 31 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back.
Sensors, November, 2023

Faster Walking Speeds Require Greater Activity from the Primary Motor Cortex in Older Adults Compared to Younger Adults.
Sensors, August, 2023

Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their Carers.
Sensors, 2022

2021
The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.
Sensors, 2021

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

Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.
Sensors, 2020

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

Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson's Disease.
Sensors, 2020

Entropy of Real-World Gait in Parkinson's Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior.
Sensors, 2020

Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk.
Sensors, 2020

Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough?
Sensors, 2020

2019
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.
Sensors, 2019

Deep Learning Techniques for Improving Digital Gait Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability.
Medical Biol. Eng. Comput., 2018

2016
Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use.
IEEE J. Biomed. Health Informatics, 2016

Time-dependent changes in postural control in early Parkinson's disease: what are we missing?
Medical Biol. Eng. Comput., 2016

Accelerometer-based gait assessment: Pragmatic deployment on an international scale.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Toward a low-cost gait analysis system for clinical and free-living assessment.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Designing for and with People with Parkinson's: A Focus on Exergaming.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

PD Disease State Assessment in Naturalistic Environments Using Deep Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Within trial validation and reliability of a single tri-axial accelerometer for gait assessment.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A comparison of methods to detect postural transitions using a single tri-axial accelerometer.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data.
Proceedings of the Brain and Health Informatics - International Conference, 2013


  Loading...