Lisa Alcock

Orcid: 0000-0002-8364-9803

According to our database1, Lisa Alcock authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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

Automated Mobility Context Detection with Inertial Signals.
CoRR, 2022

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

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


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