
- Koneksa Resources -
Resource Library
Koneksa is constantly driving the scientific development and application of digital biomarkers forward. Whether it’s through articles, white papers, webinars, or other forms of communication, Koneksa takes the role of thought leader in this space very seriously.
Posters

POSTER
Koneksa WORLD 2024 Cardiac biomarkers in Fabry Disease
The composite measurement concept outlined here may be used as the foundation for future analytical validation, usability, and clinical validation seeking to capture the progression of cardiac function in FD.

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Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI)_ Studies Preceding Clinical Validation
Summarize the findings from three developmental studies of the Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI).

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Study design considerations for digital assessments in Parkinson’s disease clinical trials
Here, we develop recommendations for digital assessment implementation in PD clinical trials.

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Validating Remote FEV1 Monitoring in Moderate Asthmatics to Increase Study Power
Mobile measurements are equivalently reliable to in-clinic measurements.

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Compliance Analysis for Remote Spirometry in Subjects with Mild to Moderate Asthma
Remote spirometry data collection is feasible in studies recruiting asthma patients.

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Capability of accelerometers in wearable devices for measurement of postural tremor...
Motor symptoms in patients with movement disorders are traditionally measured using clinician and patient reported outcome measures such as the MDS-UPDRS.

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Comparing accuracy of accelerometers for measurement of gait and balance, and upper body postural tremor
The iPhone 8 Plus is suitable for measuring acceleration of gait & balance and postural tremor.

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Feature development of digital measures for the finger tapping task
The MDS-UPDRS[1] is considered the gold standard for assessing symptom severity in Parkinson’s disease. This scale assesses multiple aspects of daily living.

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Analytical validity of a walk detection and gait algorithm in different wear configurations
10 healthy subjects performed a series of walking tests while wearing 6 ActiGraph GT9X Link devices concurrently, one for each of 6 wear positions.





