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Ergoselect 4

  • Modular Customisation: Offers a unique variety of models and expansion options, allowing the system to be perfectly tailored to the specific requirements of each individual user and clinic.
  • Unrivalled Measurement Precision: Features a broad load range from 6 to 1000 watts, adjustable in ultra-precise 1-watt increments for the most granular control over testing protocols.
  • Superior Build Quality: Constructed with premium aluminium components and a timeless design, ensuring a robust, vibration-free platform that withstands heavy clinical use.
  • Enhanced Patient Accessibility: The wide, open step-through frame and high weight capacity of up to 200 kg make this system highly inclusive for bariatric and mobility-impaired patients.
  • Safety-First Engineering: Equipped with an automatic safety feature where pedals stop moving immediately after use, preventing accidental injury during mounting and dismounting.
  • Whisper-Quiet Operation: Utilises an advanced belt-drive system to ensure a nearly silent testing environment, allowing clinicians to focus entirely on the patient and diagnostic traces.

The Ergoselect 4 is the cornerstone of Ergoline’s premium ergometer series, representing a perfect synergy of state-of-the-art technology, high-quality materials, and timeless design. This modular system is engineered as a comprehensive diagnostic solution that can be precisely fine-tuned to meet the specific clinical needs of any facility, from standard stress testing to high-performance sports medicine.

Engineered for Precision and Accessibility
The Ergoselect 4 is defined by its superior build quality, featuring a base plate and handlebar column crafted from high-grade aluminium for lifelong stability. Designed with patient comfort in mind, the wide, open step-through frame ensures that patients of all mobility levels can mount the device safely. With a high-precision measuring system and a whisper-quiet belt drive, the Ergoselect 4 provides a seamless testing experience that yields undisputed diagnostic data.

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