Carlo J. De Luca

Technology – Surface EMG

Original Reports

Roy SH, Cole BT, Gilmore LD, De Luca CJ, Thomas CA, Saint-Hilaire MM and Nawab SH. High-resolution tracking of motor disorders in Parkinson’s disease during unconstrained activity. Movement Disorders. doi: 10.1002/mds.25391. (pdf)

De Luca CJ, Kuznetsov M, Gilmore LD, and Roy SH. Inter-electrode spacing of surface EMG sensors: Reduction of crosstalk contamination during voluntary contractions. Journal of Biomechanics, 2011. PMID: 22169134. (pdf)

Roy SH, De Luca G, Cheng S, Johansson A, Gilmore LD, and De Luca CJ. Electro-Mechanical stability of surface EMG sensors.  Medical & Biological Engineering & Computing, 45: 447-457, 2007. PMID: 17458582. (pdf)

Bonato P, Roy SH, Knaflitz M, and De Luca CJ. Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Transactions on Biomedical Engineering, 48: 745-753, 2001. PMID: 11442286. (pdf)

DeAngelis GC, Gilmore LD, and De Luca CJ. Standardized evaluation of techniques for measuring the spectral compression of the myoelectric signal. IEEE Transactions on Biomedical Engineering, 37: 844-849, 1990. PMID: 2227971. (pdf)

Broman H, Bilotto G, and De Luca CJ. A note on non-invasive estimation of muscle fiber conduction velocity. IEEE Transactions on Biomedical Engineering, 32: 341-344, 1985. PMID: 3997188. (pdf)

Gilmore LD and De Luca CJ. Muscle fatigue monitor (MFM): second generation. IEEE Transaction on Biomedical Engineering, 32: 75-78, 1985. PMID: 3980036. (pdf)

McCarthy C and De Luca CJ. A myofeedback instrument for clinical use. Journal for Rehabilitation Research and Development, 21: 39-44, 1984. (pdf)

Stulen FB and De Luca CJ. Muscle fatigue monitor: a non-invasive device for observing localized muscular fatigue. IEEE Transactions on Biomedical Engineering, 29: 760-768, 1982. PMID: 7173943. (pdf)

De Luca CJ, LeFever RS, and Stulen FB. Pasteless electrode for clinical use. Medical and Biological Engineering and Computing, 17: 387-390, 1979. PMID: 317337. (pdf)

Roy SH, De Luca G, Cheng S, Johansson A, Gilmore LD, and De Luca CJ. Electromechanical stability of surface EMG sensors. Medical and Biological Engineering and Computing, 45: 447-457, 2007. PMID: 17458582.

Lee J, Adam A, and De Luca CJ. A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials. Journal of Neuroscience Methods, 168: 54063, 2008. PMID: 18029025.

Book Chapters

Merletti R and De Luca CJ. New techniques in surface electromyography. In: Desmedt JE (Ed). Computer-Aided Electromyography and Expert Systems, Elsevier, Holland, 115-124, 1989.