M. A. Favretto

ORCID: 0000-0001-6923-8808
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About
Contact & Profiles
Research Areas
  • Muscle activation and electromyography studies
  • EEG and Brain-Computer Interfaces
  • Advanced Sensor and Energy Harvesting Materials
  • Cerebral Palsy and Movement Disorders
  • Botulinum Toxin and Related Neurological Disorders
  • Neuroscience and Neural Engineering
  • Diabetic Foot Ulcer Assessment and Management
  • Orthopedic Surgery and Rehabilitation
  • Parkinson's Disease Mechanisms and Treatments
  • Electrochemical sensors and biosensors
  • Optical Wireless Communication Technologies
  • Balance, Gait, and Falls Prevention
  • Stroke Rehabilitation and Recovery
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Color Science and Applications
  • Ergonomics and Musculoskeletal Disorders
  • Academic Research in Diverse Fields
  • ECG Monitoring and Analysis
  • Peripheral Nerve Disorders
  • Sports injuries and prevention
  • Pain Mechanisms and Treatments
  • Motor Control and Adaptation

Universidade Federal de Santa Catarina
2018-2023

In this study, we investigated the use of empirical mode decomposition (EMD)-based features extracted from electrocardiogram (ECG) RR interval signals to differentiate between different levels cardiovascular autonomic neuropathy (CAN) in patients with type 2 diabetes mellitus (T2DM). This study involved 60 participants divided into three groups: no CAN, subclinical and established CAN. Six EMD (area analytic signal representation—ASRarea; area ellipse evaluated second-order difference...

10.3390/app13137824 article EN cc-by Applied Sciences 2023-07-03

High Density Surface Electromyography (HD-sEMG) is a non-invasive technique that allows measurement of the electrical activity with bidimensional array electrodes. Besides analysis in time domain, it possible to represent these signals topographic view enabling investigation single motor unit properties, as well quantifying muscle fibre conduction velocity. Despite complexity acquisition systems for electromyographic signals, availability integrated circuits specific applications, especially...

10.1109/tla.2018.8444157 article EN IEEE Latin America Transactions 2018-06-01

Despite nerve conduction study (NCS) being an established procedure in the evaluation of neuromuscular disorders, its utility has been restrained by commercially available products or approaches presented literature that are either costly, physically large, dependent on specialised medical personnel to operate targeted specific conditions, evaluating only one two nerves. Therefore, objective this work was develop a point‐of‐care device for NCS can be used evaluate several nerves, yet is...

10.1049/iet-smt.2019.0174 article EN IET Science Measurement & Technology 2020-03-13

Diabetic peripheral neuropathy (DPN) is associated with loss of motor units (MUs), which can cause changes in the activation pattern muscle fibres. This study investigated using high-density surface electromyography (HD-sEMG) signals from subjects type 2 diabetes mellitus (T2DM) and DPN. Thirty-five adults participated study: 12 healthy (HV), patients T2DM without DPN (No-DPN) 11 (DPN). HD-sEMG were recorded tibialis anterior during an isometric contraction ankle dorsiflexion at 50% maximum...

10.1088/2057-1976/ac455b article EN Biomedical Physics & Engineering Express 2021-12-21

Anais do V Congresso Brasileiro de Eletromiografia e Cinesiologia X Simpósio Engenharia Biomédica (978-85-5722-065-2) - Desenvolvimento De Um Sistema Avaliação Da Força Isométrica Flexão Dorsal Do Pé

10.29327/cobecseb.78893 article PT 2018-01-01

Anais do V Congresso Brasileiro de Eletromiografia e Cinesiologia X Simpósio Engenharia Biomédica (978-85-5722-065-2) - Avaliação Da Velocidade De Condução Fibra Muscular Em Indivíduos Diabéticos Com E Sem Neuropatia Periférica

10.29327/cobecseb.78891 article PT 2018-01-01

Extracting information from the peripheral nervous system with implantable devices remains a significant challenge that limits advancement of closed-loop neural prostheses. Linear electrode arrays can record signals both temporal and spatial selectivity, velocity selective recording using delay-and-add algorithm enable classification based on fibre type. The maximum likelihood estimation method also measures is frequently used in electromyography but has never been applied to...

10.1109/embc48229.2022.9870897 article EN 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022-07-11
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