Background and Objective To preserve cardiovascular health in persons with spinal cord injury (SCI), it is important to promote physical activity programs adapted to them. Home-based exercise programs allow patients to perform clinician-prescribed physical activity without going to a hospital. However, they make it difficult for the clinician to guide and monitor the patient. To face this issue, this paper proposes a novel smartphone-based mobile application (Fisiofriend), and evaluates its feasibility with a pilot study in a real clinical intervention. Methods Fourteen SCI male subjects were involved in a 6-weeks home-based intervention, based on upper limbs exercises: 7 subjects (APP group) used Fisiofriend, and 7 subjects used traditional pictorial instructions on paper (PAPER group). At the beginning (t1) and end (t2) of the study period, we measured: (i) biceps and triceps brachii strength and endurance parameters with an isokinetic dynamometer (Biodex System 4), (ii) O2 maximal consumption with a crank ergometer stress test (VO2000, Medgraphics). Moreover, we collected subjective data about subjects’ perception of the support (app or paper) in the home-based program. Results Physiological results were encouraging for both groups. Questionnaire data suggests a possible advantage of the app in terms of pleasantness, engagement and perception of positive effects. Practical clinical experience with the subjects and their informal reports highlighted which features of the app could be of particular benefit in real interventions, as we discuss in the paper. Conclusions The study showed the feasibility of using a mobile app in home-based exercise programs involving SCI patients. We discuss implications of introducing such kind of apps into clinical practice.

Noisy waveforms, sampled from an episode of fictive locomotion (FL) and delivered to a dorsal root (DR), are a novel electrical stimulating protocol demonstrated as the most effective for generating the locomotor rhythm in the rat isolated spinal cord. The present study explored if stimulating protocols constructed by sampling real human locomotion could be equally efficient to activate these locomotor networks in vitro. This approach may extend the range of usable stimulation protocols and provide a wide palette of noisy waveforms for this purpose. To this end, recorded electromyogram (EMG) from leg muscles of walking adult volunteers provided a protocol named ReaListim (Real Locomotion-induced stimulation) that applied to a single DR successfully activated FL. The smoothed kinematic profile of the same gait failed to do so like nonphasic noisy patterns derived from standing and isometric contraction. Power spectrum analysis showed distinctive low-frequency domains in ReaListim, along with the high-frequency background noise. The current study indicates that limb EMG signals (recorded during human locomotion) applied to DR of the rat spinal cord are more effective than EMG traces taken during standing or isometric contraction of the same muscles to activate locomotor networks. Finally, EMGs recorded during various human motor tasks demonstrated that noisy waves of the same periodicity as ReaListim, could efficiently activate the in vitro central pattern generator (CPG), regardless of the motor task from which they had been sampled. These data outline new strategies to optimize functional stimulation of spinal networks after injury.