January 25, 2024Open Access

Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment

Structured PICO

Can wearable-based physiological measures (primarily HRV) predict cognitive scores in individuals with mild cognitive impairment?

Population

Individuals with mild cognitive impairment (MCI) from a clinical trial

Intervention

Wearable-based digital physiological features (primarily heart rate variability [HRV]) analyzed using machine learning

Outcome

Prediction of cognitive scoressurrogate

Wearable devices measuring physiological features like HRV may offer a novel method for continuous cognitive assessment in patients with mild cognitive impairment.

Abstract

Our findings demonstrated that wearable-based physiological measures, primarily HRV, have potential to be used for the continuous assessments of cognitive function in individuals with MCI.

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Cite This Study

Rykov et al. (Thu,) studied this question.

synapsesocial.com/papers/69de7fe8210a0977fce9474a https://doi.org/https://doi.org/10.1186/s12916-024-03252-y

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