April 12, 2013IEEE Transactions on Biomedical Engineering

Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications

View Full Paper

Ask AI

Bookmark

Design

Other

Authors

DMD. Martín-Martínez PCPablo Casaseca‐de‐la‐HigueraUniversidad de Valladolid MMMarcos Martín‐FernándezUniversidad de Valladolid

Discussion

Member takes

Implication

May augment PPG datasets for algorithm development; leaves open clinical validation before practice integration.

Structured PICO

Intervention

Stochastic model of photoplethysmographic (PPG) signals using a ten-parameter single-pulse model and autoregressive moving average models

Outcome

Ability to maintain the main features of the original signal (evaluated by linear spectral analysis and nonlinear analysis measures)

A novel stochastic model for PPG signals can accurately synthesize statistically equivalent signals, enabling applications in physical activity tracking and signal recovery.

Cite This Study

Martín-Martínez et al. (2013) studied this question.

synapsesocial.com/papers/6a735e7a03e452693a6c30b2 https://doi.org/10.1109/tbme.2013.2257770

View Full Paper

Ask AI

Bookmark

Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider