Projects per year
My PhD on Biomedical Engineering involved understanding the muscle activity from the forearm, identifying the surface electromyographic patterns involved and correlating them with specific hand movements leading to improvements in the control of a myoelectric driven prosthesis, specifically of the thumb.
I have experience in real-time electrophysiological data acquisition, time-domain analyses (i.e. amplitude signal analysis, RMS, statistical analyses), time-frequency domain analyses (i.e. coherence estimates and cumulant analysis), machine learning (i.e. SOFMs, PCA), developing research protocols, health statistics, patent writing and application, CPD development.
My career development has allowed me to develop expertise in MATLAB programming, ethical research, upper limb anatomy and biomechanics, medical devices commercialisation, risk analysis and medical device certification.
I am committed to teaching, research, knowledge exchange and development, aiming to respond to the growing demand for health services by training capable professionals and to improve the quality of life in patients that have suffered the loss of function, sensation or the limb(s), resulting in a serious and challenging life-changing event in these patient populations.
My research vision is to assist vulnerable patient populations with the opportunity to self-manage their own health, by developing, evaluating and commercialising new medical and assistive technologies.
I am particularly interested in the use of high-density electromyography (EMG) and its analysis applied to rehabilitation, gaming, prevention, and furthering in the understanding of other interventions using EMG as a quantitative outcome measure.
Expertise & Capabilities
* Acquisition, processing and analysis of high density surface electromyography
* Analysis of muscle fatigue and neural drives
* Development of medical technology for orthotics, prosthetics and other rehabilitation devices
* Commercialising of medical devices
* Intellectual Property
17/12/18 → 16/12/19
Development Disposable Electronic Skin Sensor Arrays for High-Density Surface-Electromyography (HD-sEMG).
Aranceta Garza, A. & Gray, L.
Project: Internally funded project › Research (Internally Funded)
Research Output per year
An algorithm to identify and quantify intermittent (burst-like) muscular patterns of activity in HD-sEMG signalsAranceta-Garza, A. & Merletti, R., 30 Jun 2018, International Society of Electrophysiology and Kinesiology: Abstracts, Presentations. Dublin, p. 205-205 1 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Contribution to conference › Keynote
Alejandra Aranceta Garza (Recipient), 30 Oct 2018
Prize: Other distinction
Activities per year
Activity: Participating in or organising an event types › Participation in workshop, seminar, course