The 2023 wearable photoplethysmography roadmap

PH Charlton, J Allen, R Bailón, S Baker… - Physiological …, 2023 - iopscience.iop.org
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …

Wrist pulse signal acquisition and analysis for disease diagnosis: A review

C Guo, Z Jiang, H He, Y Liao, D Zhang - Computers in Biology and …, 2022 - Elsevier
Pulse diagnosis (PD) plays an indispensable role in healthcare in China, India, Korea, and
other Orient countries. It requires considerable training and experience to master. The …

A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using …

A Kumar, R Komaragiri, M Kumar - Computer Methods and Programs in …, 2023 - Elsevier
Context Continuous blood pressure (BP) monitoring plays an important role while treating
various cardiovascular diseases and hypertension. A high correlation between arterial blood …

Developments and challenges of advanced flexible electronic materials for medical monitoring applications

T Zeng, Y Wu, M Lei - Advanced Composites and Hybrid Materials, 2024 - Springer
Flexible sensors, made from flexible electronic materials, are of great importance in the
medical field due to the rising prevalence of cardiovascular and cerebrovascular diseases …

[HTML][HTML] PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review

D Lapsa, R Janeliukstis, M Metshein, L Selavo - Applied Sciences, 2024 - mdpi.com
The monitoring of hemodynamic parameters, such as heart rate and blood pressure,
provides valuable indications of overall cardiovascular health. It is preferable that such …

STSR: spectro-temporal super-resolution analysis of a reference signal less photoplethysmogram for heart rate estimation during physical activity

A Kumar, M Kumar, R Komaragiri - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The increasing demand for intelligent, wearable health monitoring devices with a
photoplethysmogram (PPG) sensor to monitor real-time heart rate (HR) in a subject attracts …

Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal

Pankaj, A Kumar, M Kumar, R Komaragiri - Biomedical Engineering …, 2023 - Springer
Appropriate blood pressure (BP) management through continuous monitoring and rapid
diagnosis helps to take preventive care against cardiovascular diseases (CVD). As …

Exploiting Tunable Q-Factor Wavelet Transform Domain Sparsity to Denoise Wrist PPG Signals

S Gupta, A Singh, A Sharma… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Wearable health-monitoring devices based on photoplethysmogram (PPG) can estimate
valuable physiological parameters and are often regarded as a touchstone for indicating the …

Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method

B Mishra, N Nirala, BK Singh - Neural Computing and Applications, 2024 - Springer
Abstract Type-2 diabetes mellitus (DM-2) is a complicated endocrine and metabolism
condition recognized as the most major non-communicable disease in the world. The …

Remote heart rate estimation by pulse signal reconstruction based on structural sparse representation

J Han, W Ou, J Xiong, S Feng - Electronics, 2022 - mdpi.com
In recent years, the physiological measurement based on remote photoplethysmography
has attracted wide attention, especially since the epidemic of COVID-19. Many researchers …