Peer-reviewed study · 2026

Multidimensional monitoring for injury prevention: the impact of the Motus platform in football

Motus integrates subjective and physiological indicators to anticipate injury risk and sustain performance in high-level athletes. These are the results of a published study that followed 98 football athletes over one month.

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98
athletes monitored
1,725
forms completed
89.8%
adherence rate
560
alerts generated
521
staff interventions
11.3h
average time to intervene
93.9%
physical availability
7.8
overall health score (average)

Data collected from February 2 to March 3, 2026. Source: published study (DOI below).

What the study measured

The growing need for individualized, data-driven decisions makes multidimensional monitoring tools essential for continuous athlete tracking. Through a daily check-in, the platform integrates indicators that help interpret signs of fatigue, overload, and physiological imbalance:

  • Rate of Perceived Exertion (RPE)
  • Perceived Recovery
  • Pain intensity and location
  • Sleep quality
  • Mood
  • Body weight
  • Urine color

Results

Over the study period, 98 athletes completed 1,725 forms — an adherence rate of 89.8%. From this data, Motus generated 560 alerts, of which 521 required direct intervention from the technical and medical staff. Average time to intervention was 11.3 hours, showing strong operational responsiveness.

Integrating this data allowed early identification of individual risk patterns — particularly around pain and fatigue. Interventions based on the alerts led to a reduction in reported pain intensity in subsequent forms. Physical availability held at 93.9% and the overall health score averaged 7.8.

The study concludes that the Motus multidimensional approach contributes significantly to reducing injury risk and sustaining high performance levels, with greater precision in reading physiological and subjective behavior and in directing preventive action.

Frequently asked questions

Can the Motus platform anticipate injury risk?

Motus integrates subjective and physiological athlete indicators (exertion, recovery, pain, sleep, mood, and others) to flag individual risk patterns early — especially those related to pain and fatigue. In the published study, the system generated 560 alerts, of which 521 required direct intervention from the technical and medical staff.

What is multidimensional athlete monitoring?

It means tracking the athlete through several indicators at once — not just training load, but also perceived exertion (RPE), perceived recovery, pain, sleep quality, mood, weight, and hydration. Combining these dimensions reveals signs of fatigue, overload, and physiological imbalance that a single metric would miss.

Are Motus results backed by scientific evidence?

Yes. The impact of the platform was presented in a peer-reviewed study published in the proceedings of the 4th Science & Business Connection (2026), DOI 10.29327/9786527225782.1483033. The study followed 98 football athletes over one month, with 1,725 forms completed and an 89.8% adherence rate.

How long does it take the technical staff to act after an alert?

In the study, the average time between a Motus-generated alert and staff intervention was 11.3 hours, showing strong operational responsiveness — driven by the clarity and sensitivity of the system’s alerts.

Does monitoring with Motus improve athlete availability?

During the study period, physical availability held at 93.9% and the overall health score averaged 7.8. Interventions triggered by alerts led to a reduction in reported pain intensity in subsequent forms, indicating effective load adjustment and recovery strategies.

Which indicators does the technical staff track daily with Motus?

Perceived exertion (RPE), perceived recovery, pain intensity and location, sleep quality, mood, body weight, and urine color. These are key variables for interpreting signs of fatigue, overload, and physiological imbalance, and for directing individualized preventive action.

Study reference

Original title published in Portuguese:

Lucas Arlei de Carvalho; Thiago Oliveira dos Santos; Nathan Pereira Torres; Erik Câmara Yokota; Rafael Yan da Silva; Tiago dos Santos Freitas; Kauê dos Santos Francisco; Nicolas Ferreira Fernandes; Matheus Germano da Silva; João Gabriel Grossi Solis. Impacto da Plataforma Motus no Monitoramento Multidimensional para Prevenção de Lesões e Otimização da Performance de Atletas de Futebol. Science & Business Connection: Anais do Congresso Científico Tecnológico, 2026. ISBN 978-65-272-2578-2.

Presented at the 4º Science & Business Connection — Parque de Inovação Tecnológica (PIT), São José dos Campos/SP, Brazil.

DOI: 10.29327/9786527225782.1483033