Lynn Rochester
Orcid: 0000-0001-5774-9272
According to our database1,
Lynn Rochester
authored at least 34 papers
between 2013 and 2024.
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Bibliography
2024
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders.
npj Digit. Medicine, 2024
Developing a novel dual-injection FDG-PET imaging methodology to study the functional neuroanatomy of gait.
NeuroImage, 2024
A Novel Energy-Based Composite Index for Assessing Motor State in Parkinson's Disease by Means of IMU-Based Digital Health Technology.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
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
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
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
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
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
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015
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
Proceedings of the Brain and Health Informatics - International Conference, 2013