Revolutionizing the care of Parkinson's disease

The first, research-based precision technology able to measure the visible and invisible motor symptoms of Parkinson's disease.

Accurate insight into the patients' condition

Adamant Health has developed the first, research-based precision technology able to measure the visible and invisible motor symptoms of Parkinson's disease.

Our unique CE-marked data-analysis technology, based on surface electromyography (EMG) and motion measurement, provides detailed and accurate symptom data, essential for supporting personalized treatment that can be continuously optimized.

Our service uses a small, wearable device to continuously measure both neuromuscular signals and motor symptoms and provides an easy-to-read symptom report helping clinicians to make more informed treatment decisions for their patients.

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  • Early detection and accurate assessment of symptoms

    Clear visibility to even the patients' slightest symptoms enables clinicians to get an accurate picture of the patients' condition.

  • Highly personalized care

    A detailed overview of the patients' visible and invisible symptoms presented in an easy-to-read report allows clinicians to develop highly personalized treatment plans for optimal symptom control.

  • Better patient outcomes

    Objective follow-up on the effectiveness of the treatment allows clinicians to continuously optimize the treatment plan, leading to better symptom management and thus better outcomes for the patients.

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Measurement and analysis service

  • EMG sensor, Adamant Health

    Wearable measurement device + patient diary

    The patient wears a small measurement device comfortably at home and keeps a patient diary.

  • Analysis technology, Adamant Health

    Cloud-based analysis

    The measurement data is analyzed using a CE-marked medical device developed with our research-based data-analysis technology.

  • Symptom report, Adamant Health

    Symptom report

    The clinician receives an easy-to-read report with detailed and accurate symptom data for the time of the measurement.

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