Rolando Grave de Peralta Menendez
Electrical Neuroimaging Group & Eng-Tech, Switzerland
Posters & Accepted Abstracts: J Pulm Respir Med
Multiple clinical conditions require the use of mechanical ventilation (MV). It is indeed considered that the probability of being under MV during your life span is 50%, largely surpassing the probability of significant motor paralysis. However, to insure that MV fulfills its role we need to guarantee a correct coordination between the Patient�s respiratory effort and the ventilator, i.e., the correct synchrony between the patient�s neural drive and the machine. Indeed, patient-ventilator asynchrony creates substantial imposed loads which can lead also to muscle fatigue and discomfort, increasing the dependence of the patient from the ventilator. Current partially successful solutions to this problem are PAV and NAVA, however, both require a mature or strong neural drive and the later also requires an invasive procedure. Given the transient nature of MV (i.e., used mainly over night or during acute clinical conditions), precluding the use of invasive methods, and inspired by current research on Brain Computer Interfaces, we take here a neurological approach to propose a novel mechanical ventilation mode (MVM) based on the two empirical facts: 1) the probability of asynchronies is proportional to the number of set parameters of the MVM and 2) scalp recorded EEG (electroencephalography) signals can provide information about the neural activity of automatic and voluntary respiratory centers. As such, the Patient Ventilator Interface appears to be simpler to operate, better suited for clinical conditions diminishing the neural drive, while minimizing patientventilator asynchronies and remaining fully non invasive.
Pulmonary & Respiratory Medicine received 1690 citations as per Google Scholar report
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