About Osmar Pinto Neto
Assistant Professor of Kinesiology 鈥 California State University San Marcos (USA)
Associate Professor, Biomedical Engineering 鈥 Universidade Anhembi Morumbi (Brazil)
I build human-centered neuromechanical intelligence: quantitative bridges from internal brain鈥揵ody states (neurological health, fatigue,
motivation) to measurable movement. My lab fuses low-burden sensing (voice, grip force, stabilometry/sway, EMG, ECG/HRV), probabilistic modeling + interpretable ML, and adaptive, human-in-the-loop interfaces (tDCS/tES + exercise, VR/AR, assistive/rehab robotics). Our goal is early diagnosis and state-aware rehabilitation鈥攕tarting with Parkinson鈥檚 disease (PD)鈥攁nd translation to aging, fatigue, and human
performance.
I鈥檝e published 60+ peer-reviewed papers spanning neuromuscular signal processing,
motor control/learning, and clinical translation, including a highly cited methods
paper in Journal of Neurophysiology (EMG rectification/oscillations) and a Nature Communications study on city-scale optimization during COVID-19. Current projects engage clinical
and human-performance partners and draw on collaborations with NASA-linked teams (altered-gravity neuromechanics) and MIT (atmospheric electrodynamics with Prof. Earle Williams).
Research
Research Themes
- Predictive biomarkers from human鈥搒ystem interaction
Device-agnostic, interpretable models from voice, grip-force dynamics, sway, and muscle
coherence for early PD detection and longitudinal monitoring.
- Adaptive neuromodulation & rehabilitation
Closed-loop tDCS/tES + exercise that adapts to HRV/ANS indices, tremor power, sway entropy, and engagement.
- Motivation-aware augmentation
VR/AR and assistive/rehab robotics that infer latent 鈥渆ngagement鈥 to co-adapt task
difficulty and haptics.
Active Collaborations & Ecosystem
- NASA-linked neuromechanics (altered-/partial-gravity, parabolic flight; with Texas A&M/Aerospace).
- MIT (Earle Williams) on lightning/electrodynamics methods and time-frequency analysis.
- Clinical partners for PD and aging cohorts; community clinics for home-ready, low-burden
sensing.
Selected Publications (2024-25)
- Grip force variability and deep learning: a cross-sectional biomarker for early PD. NeuroMarkers 2(3):100106, 2025.
- High-accuracy PD classification via ensemble ML and stabilometric biomarkers. Neurology International 17(9):133, 2025. (co-first)
- Accuracy and stability in non-immersive VR: display type & body position. Human Movement Science 101:103360, 2025.
- Bimanual coordination & neuromuscular synchronization in PD and healthy adults. Experimental Brain Research 243(4):104, 2025.
- Reduction in global lightning activity during the COVID pandemic. JGR: Atmospheres 130(8), 2025. (with MIT collaborators)
- Human Pinealectomy Syndrome & cardiovascular function; melatonin therapy. Journal of Pineal Research 77(3), 2025.
- Combining tDCS with exercise improves mobility, stability & tremor in PD (n=25). Neurology International 16(6):1223鈥1238, 2024.
- Harnessing voice analysis + ML for early PD (3 datasets). Journal of Voice, 2024.
- The effect of simulated Martian gravity on bimanual control. Human Movement Science 95:103199, 2024.
- High/low pitch effects on heart鈥揵rain coupling. Biomedical Engineering Letters 14(2):331鈥339, 2024.
- Earlier foundation: EMG rectification impairs identification of 13鈥60 Hz oscillatory input. Journal of Neurophysiology 103(2):1093鈥1103, 2010.
- COVID-19 intervention optimization (evolutionary multi-objective). Nature Communications 12, 2020.
(Google Scholar: h-index 25; Web of Science: h-index 17.)
Courses
- KINE 303: Statistics & Research Methods
- KINE 503: Advanced Statistical Analysis (R/Python)
- KINE 425: Biomechanics of Human Movement
- Special Topics: Motor Control in Special Populations
Mentoring & Service
Advised 16 MS and 12 PhD students across institutions; vertical team mentoring with open, reproducible pipelines.
University service includes IRB, Academic Senate, and Undergraduate Research committees. Founder of community programs providing full scholarships for under-represented youth athletes in S茫o Paulo.