Valentina Agostini

Valentina Agostini's picture

Associate Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab

Profile

Research interests

Biomedical signal processing
Gait analysis
Motor control
Muscle synergies
Postural control
Statistical gait analysis
Surface electromyography
Surface emg

Biography

Valentina Agostini is associate professor of Biomedical Engineering at the Department of Electronics and Telecommunications of the Polytechnic of Turin and has extensive experience in the field of biomedical signal processing. Her current research interests include: neuroengineering, clinical motion analysis, acquisition and processing of EMG signal, study of motor control with applications in rehabilitation and sports, wearable sensors, stress assessment in the workplace. She is a member of the doctoral college in Biomedical Engineering and Medical-Surgical Sciences. She is author of more than 100 publications in high-impact international journals. She has coordinated and participated in national and international research projects for the evaluation of motion and motor control in patients suffering from neurological, neurodegenerative and orthopedic pathologies. Valentina Agostini is Associate Editor of scientific journals such as Scientific Reports, Frontiers in Sports and Active Living and Sensors.

Scientific branch

IBIO-01/A - Bioengineering
(Area 0009 - Industrial and information engineering)

Research topics

  • Acquisition and processing of EMG signal, study of muscle activations and muscle fatigue
  • Gait analysis
  • Neuroengineering
  • Study of postural balance

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, natural language processing
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence
LS7_11 - Environmental health, occupational medicine
LS7_12 - Health care, including care for the ageing population
PE8_13 - Industrial bioengineering
LS5_18 - Innovative methods and tools for neuroscience
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
LS7_1 - Medical imaging for prevention, diagnosis and monitoring of diseases
LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases
LS5_11 - Neurological and neurodegenerative disorders
LS5_11 - Neurological disorders (e.g. Alzheimer’s disease, Huntington’s disease, Parkinson’s disease)
LS4_3 - Physiology of ageing
PE7_7 - Signal processing

SDG

Goal 3: Good health and well-being
Goal 4: Quality education
Goal 5: Gender equality
Goal 10: Reduced inequalities

Open badges

Awards and Honors

  • SIAMOC Best Methodological Paper Award conferred by Società Italiana di Analisi del Movimento in Clinica (SIAMOC), Italy (2009)
  • Young Research Award conferred by Società Italiana di Analisi del Movimento in Clinica (SIAMOC), Italy (2010)
  • AITA Best Paper Award conferred by Advanced Infrared Technology and Applications (AITA) (2013)
  • MEMEA Best paper award conferred by IEEE Instrumentation and Measurement Society, United States (2014)

Fellowships

Editorial boards

  • SCIENTIFIC REPORTS (2022-), Editorial board member
  • SENSORS (2022-), Editorial board member
  • FRONTIERS IN SPORTS AND ACTIVE LIVING (2021-), Editorial board member
  • APPLIED BIONICS AND BIOMECHANICS (2017-2018), Guest Editor of magazine or editorial series

Teaching

Collegi of the PhD programmes

  • BIOINGEGNERIA E SCIENZE MEDICO-CHIRURGICHE, 2024/2025 (40. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Fabrizio Sciscenti. Programme in Bioingegneria E Scienze Medico-chirurgiche (39th cycle, 2024-in progress)
    Research subject: Neuroengineering techniques to support clinicians in the management of patients with Parkinson's Disease undergoing Deep Brain Stimulation Neurosurgery
    Computer Science
    Motor control, neuroengineering and rehabilitation engineering
    Biomedical signal and image processing
    Computer Science
    Motor control, neuroengineering and rehabilitation engineering
    Biomedical signal and image processing

Publications

Publications by type

PoliTO co-authors

Last years publications

Most cited publications View all publications in Porto@Iris