×
M

Member

000-514-688

Dr. Luigi Borzì

Assistant Professor Department: Control and Computer Engineering Certificate Views : 495 Followers : 0



Name: Dr. Luigi Borzì
Designation: Assistant Professor
Department: Control and Computer Engineering
Research Area: Biomedical Engineering, Data science, Wearable technology
Organization: Politecnico di Torino
Contact: Contact Reviewer
Qualification: PhD
About: I am currently a Postdoctoral Researcher in Computer Engineering at the Department of Control and Computer Engineering, Politecnico di Torino, working on Machine Learning, Wearable Sensors, Data Analytics, Human Activity Recognition (HAR), and Internet of Medical Things (IoMT). I obtained my Ph.D. in Computer Engineering in Genuary 2023 supervised by Prof. Gabriella Olmo, with a thesis on ”Wearable Sensors and Artificial Intelligence for Monitoring of Parkinson’s Disease”. Previously, I received my Master’s degree (M.Sc.) in Biomedical Engineering at the Politecnico di Torino in 2018 with a thesis on Smartphone-based detection of freezing of gait in Parkinson’s disease under the supervision of Prof. Gabriella Olmo. I received my Bachelor’s degree (B.Sc.) in Biomedical Engineering at the Politecnico di Torino in 2015. My research interests include telemedicine, machine learning, movement analysis, and neurodegenerative disorders. Specifically, I focus on the use of wearable technology and artificial intelligence for computer-aided diagnosis, prognosis, and follow-up of movement disorders
Status:

Journal

Author: Luigi Borzì, Luis Sigcha, Daniel Rodríguez-Martín and Gabriella Olmo
Title: Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Publication Year:
ISSN:
Volume:
Issue:
2023
0933-3657
135
Indexing: SCOPUS, SCI-E, UGC-CARE, ABCD-Index, 
Visit Paper: Click here
More Details Click here
Author: L. Sigcha, L. Borzì, I. Pavon, N. Costa, S. Costa, P. Arezes, J.M. Lopez, G. De Arcas
Title: Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using transformers and a single waist-worn triaxial accelerometer
Publication Year:
ISSN:
Volume:
Issue:
2022
0952-1976
116
Indexing: SCOPUS, SCI-E, UGC-CARE, ABCD-Index, 
Visit Paper: Click here
More Details Click here
Author: L. Sigcha, B. Dominguez, L. Borzì, N. Costa, S. Costa, P. Arezes, J.M. Lopez, G. De Arcas, I. Pavon
Title: Bradykinesia Detection in Parkinson’s Disease Using Smartwatches’ Inertial Sensors and Deep Learning Methods
Publication Year:
ISSN:
Volume:
Issue:
2022
2079-9292
11
Indexing: SCOPUS, SCI-E, UGC-CARE, ABCD-Index, 
Visit Paper: Click here
More Details Click here
Author: L. Borzì, I. Mazzetta, A. Zampogna, A. Suppa, F. Irrera, G. Olmo
Title: Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor
Publication Year:
ISSN:
Volume:
Issue:
2022
1424-8220
22
Indexing: SCOPUS, SCI-E, UGC-CARE, ABCD-Index, 
Visit Paper: Click here
More Details Click here