This depository contains the data and codes of the paper: Bosco, A., Bertini C., Filippini M., Foglino C., Fattori P (2022). Machine learning methods detect arm movement impairments in a patient with parieto-occipital lesion using only early kinematic information. Journal of Vision, in press. Data are provided in mat-file, codes is provided in m-files (Matlab)
AimTo evaluate a kinematic paradigm of automatic general movements analysis in comparison to clinica...
The application of machine learning algorithms to analyze and determine disease related patterns in ...
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic str...
Patients with lesions of the parieto-occipital cortex typically misreach visual targets that they co...
Machine Learning has a significant role in each person’s daily life and plays a vital role in making...
The use of wearable devices to study gait and postural control is a growing field on neurodegenerati...
Eye-movement trajectories are rich behavioral data, providing a window on how the brain processes in...
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sen...
In this contribution, we provide a basic introduction to key concepts of Machine Learning (ML). ML c...
Recently, advancement of brain signal processing and neuro-technology have enabled us to interact wi...
Aiming to perform an extraction of features which are strongly related to hemiparesis, this work des...
The importance of early diagnosis of autism that leads to early intervention such thing shall increa...
Stroke causes loss of brain functionality leading to restricted muscle activity on the affected body...
Detecting human motion and predicting human intentions by analyzing body signals are challenging but...
This chapter describes technical considerations and current and future clinical applications of lesi...
AimTo evaluate a kinematic paradigm of automatic general movements analysis in comparison to clinica...
The application of machine learning algorithms to analyze and determine disease related patterns in ...
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic str...
Patients with lesions of the parieto-occipital cortex typically misreach visual targets that they co...
Machine Learning has a significant role in each person’s daily life and plays a vital role in making...
The use of wearable devices to study gait and postural control is a growing field on neurodegenerati...
Eye-movement trajectories are rich behavioral data, providing a window on how the brain processes in...
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sen...
In this contribution, we provide a basic introduction to key concepts of Machine Learning (ML). ML c...
Recently, advancement of brain signal processing and neuro-technology have enabled us to interact wi...
Aiming to perform an extraction of features which are strongly related to hemiparesis, this work des...
The importance of early diagnosis of autism that leads to early intervention such thing shall increa...
Stroke causes loss of brain functionality leading to restricted muscle activity on the affected body...
Detecting human motion and predicting human intentions by analyzing body signals are challenging but...
This chapter describes technical considerations and current and future clinical applications of lesi...
AimTo evaluate a kinematic paradigm of automatic general movements analysis in comparison to clinica...
The application of machine learning algorithms to analyze and determine disease related patterns in ...
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic str...