ISEK-JEK Tutorials

ISEK is pleased to announce the novel ISEK- JEK Tutorials, a series of online events starting in Summer 2021. The ISEK- JEK Tutorials are based on tutorial papers published in the Journal of Electrophysiology and Kinesiology (JEK).

They are intended for students to provide technical background on some fundamental topics in Electrophysiology and Kinesiology research, and most importantly, to answer questions that trainees might have on these topics.

Each event in this series will consist of 90 minutes of live presentations and Q&A periods.

ISEK Tutorials will be recorded and available on the website.

There are no fees to participate in the ISEK – JEK Tutorials, but you must register to participate.

Webinar Recording Disclaimer

Please note that webinars are recorded. By your presence at an ISEK webinar, you consent to be photographed, filmed and/or otherwise recorded. Your registration constitutes your consent to such photography, filming and/or recording and to any use for any purpose in accordance with the Society mission and standard of conduct.  You are welcome to keep your camera off during these events, you and not the Society, is responsible for these setting options.

Video Access for Members

ISEK – JEK Tutorial videos are available in the member only area of the website. If you are not a member, consider joining ISEK to access these resources.

Past Events


Surface EMG detection in space and time, conditioning and pre-processing

Tuesday, July 20 at 1:00pm- UTC


This webinar is oriented to non-engineers and is based on the first two Tutorials published in the Journal of Electromyography and Kinesiology concerning surface EMG:

Merletti R., Muceli S., Tutorial. Surface EMG detection in space and time: best practices. Journ. of Electromyogr. and Kinesiol., 2019;

Merletti R., Cerone G.L. Tutorial. Surface EMG detection, conditioning and pre-processing: best  practices, Journ. of Electromyogr. and Kinesiol., 2020;
54 102440, doi:10.1016/j.jelekin.2020.102440

A short introduction describes the barriers to the widespread use of sEMG, as addressed in the Frontiers project, and the need to overcome them.

The lecture of Dr. Muceli addresses the best practices concerning sEMG electrode geometry and location. The lecture of Dr Cerone addresses the best practices concerning amplification, filtering and conditioning of the raw sEMG signal. Both lectures provide a simple technical bases for proper sEMG detection and recording by clinical operators.


Roberto Merletti

  1. The potential of sEMG observation and measurements for rehabilitation operators
  2. The need for teaching rehabilitation operators about sEMG
  3. The results of the Frontiers Project on barriers to clinical use of sEMG
  4. Future perspectives (large HDsEMG systems covering a limb)

Silvia Muceli

  1. The surface EMG image and its sampling with an electrode pair or an electrode grid
  2. The averaging (low pass filtering) effect of the electrode area
  3. The propagation of Motor Unit action potentials
  4. End-of-fiber effect and crosstalk 

Discussion: 10 min

Giacinto Luigi Cerone

  1. The coupling between body-electrodes and biopotential amplifiers. Rejection of power line interference and relevance of Wireless Systems
  2. The importance of skin treatment to lower impedances and artifacts
  3. Conditioning of sEMG signals. Concept of filter (low pass, high pass, notch)
  4. Artifacts in the EMG recoding
  5. Concept of sampling and conversion into binary numbers.

Discussion: 10 min


Giacinto Luigi Cerone, Ph.D

Giacinto Luigi Cerone, Ph.D

Laboratory for Engineering of the Neuromuscular System, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

Giacinto Luigi Cerone obtained the M.Sc. degree and the Ph.D in Biomedical Engineering summa cum laude from Politecnico di Torino, Torino, Italy, in 2014 and 2019 respectively. Currently he is a Post-Doc Researcher at the Laboratory for Engineering of the Neuromuscular System at Politecnico di Torino. In 2020 he was awarded as Innovative Engineer of the Year by the Turin Engineering Association. His main activity concerns the hardware, firmware, software design and certification of biomedical instrumentation. His research activity with is mainly focused on the design of modular, wireless and embedded systems for the acquisition of electrophysiological signals, the neuromuscular electrical stimulation and the tele-monitoring of vital parameters.

Roberto Merletti, Ph.D., ISEK Fellow

Roberto Merletti, Ph.D., ISEK Fellow

Former Full Prof. of Rehabilitation Engineering, Lab. For Engineering of the Neuromuscular System, Politecnico di Torino, Italy

Prof. Roberto Merletti graduated in Electronics Engineering from Politecnico di Torino, Italy, and obtained his M.Sc. and PhD in Biomedical Engineering from the The Ohio State University, USA.  He has been Associate Prof. of Biomedical Engineering at Boston University where he was also Research Associate at the NeuroMuscular Research Center. He has been Full Prof, of Rehabilitation Engineering at Politecnico di Torino where he established, in 1996, the Laboratory for Engineering of the Neuro-muscular System (LISiN) of which he has been Director up to 2015.  He has trained at LISIN more than 70 researchers (15 doctoral students) from various countries.

Silvia Muceli, Ph.D.

Silvia Muceli, Ph.D.

Assistant Professor, Electrical Engineering Chalmers University of Technology, Sweden

Silvia Muceli is Assistant Professor in Life Science Engineering at Chalmers University of Technology, Gothenburg, Sweden. She received her MSc in Electronics Engineering from the University of Cagliari, Italy, in 2007, and PhD in Biomedical Science and Engineering from Aalborg University, Denmark, in 2013. She worked as postdoctoral researcher at the University Medical Center Göttingen, Georg-August University, Germany, and Imperial College London, UK, until 2019. Her main research interests include surface and intramuscular electromyography, biomedical signal processing and modelling, bioelectrode design, neurophysiology of movement, sensorimotor development, and advanced prosthetic control.