2023 · IEEE journal of biomedical and health informatics · paywalled
UroSound: A Smartwatch-Based Platform to Perform Non-Intrusive Sound-Based Uroflowmetry
Arjona et al.
The finding, in our words
The study shows that a smartwatch can capture acoustic signals during voiding that correlate with standard uroflowmetry and extract clinically relevant voiding parameters, enabling remote assessment of urinary function at home. This supports decentralised diagnostics by allowing repeated, objective monitoring without clinic visits, though automatic gain control in some devices degraded signal quality.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
A smart diaper system that analyses colour changes in urinalysis strips detected urinary tract infection biomarkers correctly in 14 of 15 simulated samples, suggesting potential for automated screening in high-risk groups such as infants and the elderly. The system transmits data via the Internet of Medical Things for remote monitoring, though the authors acknowledge that clinical validation in real patients is still needed.
Monisha et al., Scientific reports (paywalled) · source ↗
In a Phase 1 crossover study of etrasimod, self-collected blood microsamples yielded pharmacokinetic exposures comparable to conventional venous sampling, both with and without participant practice sessions. Continuous wearable sensors concurrently enabled real-time remote monitoring of safety vital signs and electrocardiograms, demonstrating the viability of hybrid decentralised designs in early-phase clinical trials.
Malhotra et al., Clinical pharmacology and therapeutics · source ↗
This review assesses wearable sensors for the continuous biochemical monitoring of body fluids such as sweat, saliva and interstitial fluid, confirming their potential for decentralised healthcare through pilot trials. It emphasises that successful clinical translation depends on large-scale validation and the integration of ethical and sociocultural considerations.
The study found that smartwatch-based adherence monitoring showed consistent concordance over time and may be more reliable than app or pill count methods in measuring treatment adherence in a decentralised setting. This supports the use of wearable devices as objective tools in patient-centric monitoring for decentralised clinical trials.
Huh et al., Clinical and translational science · source ↗
Decentralised monitoring of people with type 2 diabetes using continuous glucose monitoring and a hybrid smartwatch was feasible, with high participant retention and successful collection of glucose, heart rate, activity, sleep and GPS data via a study app.
Ali et al., Journal of diabetes science and technology (paywalled) · source ↗