mscAdapt4ALS – Improving activity monitoring in ALS patients through model adaptation


Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disorder characterized by the progressive loss of motor neurons in the brain and spinal cord, leading to muscular weakness and ultimately death. Life expectancy is 3 to 5 years after disease onset, there is no cure and its cause is uncertain. The AIpALS project, in which this thesis will be included, aims to improve supportive care in ALS by proposing advanced machine learning models for prognostic prediction in ALS. These models will use daily living data collected using smartphone sensors to closely monitor the disease, by applying Activity Recognition and Indoor Localization techniques.



This thesis is aligned with the AIpALS and HomeSenseALS projects. The student will contribute to develop the activity monitoring pipeline for these projects, as well as to improve AICOS's skills in transfer learning and online learning.


Author: Joana Rebelo

Type: MSc thesis

Partner: FCT NOVA – Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa

Year: 2022