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Proven Results

Groundbreaking Flowell Study with Swedish Experts Delivers Proven Results

Bike

Proven Improvement in Recovery

Flowell revolutionizes sports recovery by accelerating neuromuscular recovery, enhancing energy efficiency, and boosting performance after high-intensity training—proven through cutting-edge studies with Innowearable's advanced Inno-X™ technology.


Study Leadership - About Innowearable

Innowearable is a leading technology company from Sweden specializing in the development of innovative, wearable devices for sports and sports medicine, designed to monitor and enhance athletic performance. Their flagship product, the Inno-X™ sensor, integrates EMG and IMU technologies to provide detailed insights into neuromuscular activity and fatigue, helping athletes and researchers alike to better understand and improve recovery processes.

Impulse & Flow

Exercise

Study Participants

The study participants attended two three-day training camps on separate weekends in September in Sweden. The first group served as the intervention group, while the second group acted as the control group.

The athletes completed three cycling sessions of varying intensity to test the effect of Flowell across different intensity levels.

Each day of the training camp included one training session.


The Training Sessions:

  • Grin and Bear It: High-intensity intervals.
  • Long Distance: Sustained efforts at varying intensities.
  • The Wringer: Intervals with progressively decreasing rest periods.

The goal of the study was to test the effect of Flowell on neuromuscular recovery.

To measure recovery and fatigue in the leg muscles, two different exercises were used to test the muscle response to electrical impulses from the brain:

  • Squat Jump
  • Wall Squat

Measurements were conducted using the Inno-X™ sensor, which uses electromyography (EMG) to determine how quickly muscles respond to brain stimulation. Additionally, the sensor's inertial measurement unit (IMU) recorded the timing of actual movement initiation.

Measurements were repeated at four distinct time points during each training session:

  • Before training
  • 15 minutes after training
  • 95 minutes after training
  • 195 minutes after training

For statistical analysis, an ANOVA (Analysis of Variance) was used to compare the mean values across the different groups.

The results clearly show that the intervention group required significantly less energy to perform Squat Jump movements after the high-intensity bike session.

Study
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