Clear boundaries.
Practical use.

No. It records EEG signals and calculates indicators. It does not read specific thoughts, intentions or emotions.

No. It does not make medical diagnoses. It may show patterns compatible with greater activation or instability compared with the baseline, but it is not a diagnostic tool.

Because every athlete has a different EEG profile. The most useful comparison is the athlete compared with themselves over time.

No. It depends on the objective of the exercise. In a pre-performance session a high value is preferable; in a recovery or sleep session the opposite is true. During sleep or recovery, focus should be low.

Yes, for training, biofeedback and individual trends in controlled conditions. It is not equivalent to a full clinical EEG.

Yes. The athlete observes, imagines, breathes or performs micro-actions. The app records EEG. Without input, however, it does not measure digital reaction time.

From a minimum of 3 minutes to a maximum of 15, depending on the exercise-specific cognitive load. The baseline lasts 3-5 minutes. Long and frequent sessions without recovery should be avoided.

For a pilot: differentiated light daily sessions or 3 medium-intensity sessions per week for 4 weeks, with initial baseline and final control. Full scale: mixed training (linear + periodic) is recommended so that load sessions are alternated with cognitive deload sessions. The pilot protocol indications take these specifications into account.

They should not. They must be used to support training and recovery, not as a punitive tool.

Not on its own. It may indicate readiness and stability, but performance depends on many other variables. The coach’s assessment, including from a physical point of view for example, cannot be disregarded.

Movements of the eyes, head, jaw and face may generate artefacts. For this reason the protocol must be controlled. The exercises that require movements have been specifically calibrated to take account of the artefacts generated and eliminate them.

They can be used as relaxing support, but the evidence in EEG research is mixed. We are testing them.

Only the subjects authorised by the consent and project policy: athlete, coach and other roles defined by your sports club and authorised by you.

Yes. The stimulus library allows customised videos/audio/images by sport, role, level and phase. Our experts and scientists are available to clarify doubts and help create exercises with the right parameters.

Improvement may mean greater stability, better recovery, lower variability, better adaptation to complex stimuli or a positive trend compared with the baseline.

Action Observation and Motor Imagery are based on the concept, studied, tested and widely used in research in rehabilitation practice, that observing and imagining technical actions involves neural networks that partially overlap with those of motor execution. Research on AOMI suggests that observation and imagination, if well guided and integrated with physical practice, can support motor learning, technical representation and mental preparation.

The literature and research on Quiet Eye show that final fixation on a relevant target before action is associated with performance in various precision and interception sports. In sports, scanning before reception or decision-making is a relevant component of in-game perception; studies on visual exploratory activity show relationships between visual exploration and the quality of the subsequent action.

Videos with temporal occlusion interrupt the action before the decisive event, prompting the athlete to mentally anticipate the development. A recent meta-analysis supports the use of temporal occlusion training to improve sports anticipation, while cautioning on direct transfer to real performance, which must be expected in integration with cognitive training.

Mindfulness-based interventions have favourable evidence in reducing competitive anxiety and supporting regulation of athletes’ mental state. They are essential for developing regulation and cognitive load-deload capacity.

The basis is spectral analysis of EEG bands and the use of synthetic mental involvement indices. In the literature, frontal theta, alpha and beta have been associated with workload and attention, but not unequivocally. For this reason, the app must prioritise individual baseline, trends and signal quality. The specific formulas are covered by MindplAi proprietary IP and are the result of scientific research and decade-long experimentation.

Action Observation and Motor Imagery have consistent literature in motor learning and rehabilitation; in sport, applied use is supported by multi-year research experiments and works especially if integrated with real practice, relevant videos and kinaesthetic instructions. There is no automatic transfer to performance, but support for motor representation and the technical routine. In practice, it does not promise performance by itself and automatically, if not accompanied by the technical routine. The decision-making component is trained through observation of scenarios, scanning, temporal occlusion and mental simulation. Without digital input, we do not measure the correct choice, but observe EEG load, stability and recovery during the moment of prediction/anticipation.

Questionnaires and interviews remain useful, but depend on self-perception, social desirability and context. EEG adds physiological data that are measurable, repeatable and synchronised with the stimulus. Maximum value emerges by combining EEG, the coach’s observation and the athlete’s feedback.

On-field performance is the final outcome, but it is influenced by opponents, tactics, physical condition, luck and context. MindChamp observes preparatory and regulatory components: state regulation, focus, stability, response to pressure, recovery, quality of the routine.