Maria do Carmo Vilas-Boas

Orcid: 0000-0002-5012-789X

According to our database1, Maria do Carmo Vilas-Boas authored at least 11 papers between 2013 and 2021.

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

Timeline

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Bibliography

2021
Video-EEG and PerceptTM PC Deep Brain Neurostimulator Fine-Grained Synchronization for Multimodal Neurodata Analysis.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020
SnapKi - An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients.
Sensors, 2020

iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery.
Sensors, 2020

A Textile Embedded Wearable Device for Movement Disorders Quantification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients.
Sensors, 2019

Skin temperature of the foot: comparing transthyretin Familial Amyloid Polyneuropathy and Diabetic Foot patients.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

iHandU: Towards the Validation of a Wrist Rigidity Estimation for Intraoperative DBS Electrode Position Optimization.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

TTR-FAP Progression Evaluation Based on Gait Analysis Using a Single RGB-D Camera.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Subject Identification Based on Gait Using a RGB-D Camera.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

2017
The first Transthyretin Familial Amyloid Polyneuropathy gait quantification study - preliminary results.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2013
Monitoring of bedridden patients: Development of a fall detection tool.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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