Miranda M. Lim

Orcid: 0000-0003-3876-3196

According to our database1, Miranda M. Lim authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Remote Spectral Light Sensing in the Home Environment: Further Development of the TWLITE Study Concept.
Sensors, 2023

Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment.
CoRR, 2023

2022
Validation of Visually Identified Muscle Potentials during Human Sleep Using High Frequency/Low Frequency Spectral Power Ratios.
Sensors, 2022

Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults.
Sensors, 2022

Association Between Mild Cognitive Impairment and Seasonal Rest-Activity Patterns of Older Adults.
Frontiers Digit. Health, 2022

Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
A Raspberry Pi-Based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram.
Sensors, 2021

In-Home Mobility Frequency and Stability in Older Adults Living Alone With or Without MCI: Introduction of New Metrics.
Frontiers Digit. Health, 2021

Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Fabrication of Highly Sensitive Pt-black Electrochemical Sensors for GABA Detection.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice.
Sensors, 2020

Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Categorizing Sleep in Older Adults with Wireless Activity Monitors Using LSTM Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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