Why the study?
Can a novel photoplethysmography device using green and near-infrared LEDs detect differences in peripheral hemodynamics between patients with diabetes and healthy controls?
Cross-Sectional (n=46)
No
Can a novel photoplethysmography device using green and near-infrared LEDs detect differences in peripheral hemodynamics between patients with diabetes and healthy controls?
A novel photoplethysmography device using green and near-infrared LEDs can detect peripheral hemodynamic changes in patients with diabetes, suggesting potential for non-invasive home monitoring.
Diabetes is known to reduce blood circulation in capillaries and arterioles; however, no devices can easily measure this on a daily basis. In this study, we developed a tool for measuring finger photoplethysmograms using green light and near-infrared LEDs. Thereafter, photoplethysmography was conducted on 25 inpatients/outpatients with diabetes and 21 adult males and females who had not been diagnosed with or treated for diabetes, hypertension, or cardiovascular disease (control group). In patients with diabetes, the inverse full width at half-maximum velocity plethysmogram tended to be smaller than that in the control group, and the delay in the green light a-wave peak relative to the near-infrared light a-wave peak in the acceleration plethysmogram was significantly increased. The results suggest that peripheral hemodynamics can be easily estimated at home using a photoplethysmography device mounted on a ring-wearable device.
No takes yet. Share an insight, caveat, or question.
Hanada et al. (2024) conducted a cross-sectional in Diabetes (n=46). Diabetes vs. Healthy controls was evaluated on 1/FWHMVPG (inverse full width at half-maximum velocity plethysmogram) (p=0.00016).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: