Unified quality-aware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable PPG monitoring …

GNK Reddy, MS Manikandan, NVLN Murty… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram
(PPG) monitoring devices, these devices are resource-constrained including limited battery …

Evaluation of objective distortion measures for automatic quality assessment of processed PPG signals for real-time health monitoring devices

GNK Reddy, MS Manikandan, NVLN Murty - Ieee Access, 2022 - ieeexplore.ieee.org
Real-time photoplethysmogram (PPG) denoising and data compression has become most
essential requirements for accurately measuring vital parameters and efficient data …

Automated hilbert envelope based respiration rate measurement from PPG signal for wearable vital signs monitoring devices

GNK Reddy, MS Manikandan… - … Conference on Artificial …, 2022 - ieeexplore.ieee.org
Respiratory rate (RR) is one of the most vital signs to predict symptoms of serious illnesses
and also used as a vital indicator or significant physiological parameter for early disease …

Lightweight compressed sensing (CS) and partial DCT based compression schemes for energy-efficient wearable PPG monitoring devices

GNK Reddy, MS Manikandan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Most wearable medical devices are designed to continuously acquire
photoplethysmography (PPG) for measuring vital signs and transmitting acquired PPG data …

Predictive coding with simultaneous extraction of pulse and respiration rates from PPG signal for energy constrained wearable devices

GNK Reddy, MS Manikandan… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Nowadays, wearable sensors or portable devices have great potentials for real-time
monitoring of health and fitness of an individual but they are constrained with limited battery …

A review on PPG compression techniques and implementations

SS Abdulkader, UA Qidwai - 2020 IEEE-EMBS Conference on …, 2021 - ieeexplore.ieee.org
Photoplethysmography is a simple, widely used low cost technique to acquire important
diagnostic information for assessing significant physiological parameters of the human body …

Compressive Sensing-Based Automatic PPG Signal Quality Assessment Using CNN for Energy-Constrained Medical Devices

Y Sivanjaneyulu, S Boppu… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Smart wearable and portable healthcare devices are used for continuous patient health
monitoring but have limited battery power and on-board memory. Therefore, there is a huge …

Cnn based ppg signal quality assessment using raw ppg signal for energy-efficient ppg analysis devices in internet of medical things

Y Sivanjaneyulu, MS Manikandan… - … Conference on Artificial …, 2022 - ieeexplore.ieee.org
For the internet of medical things (IoMT) enabled long-term health monitoring and disease
prediction applications, there is a demand for an automatic photoplethysmogram (PPG) …

Resource-Efficient Derivative PPG-based Signal Quality Assessment Using One-Dimensional CNN with Optimal Hyperparameters for Quality-Aware PPG Analysis

Y Sivanjaneyulu, MS Manikandan, S Boppu… - IEEE …, 2024 - ieeexplore.ieee.org
Photoplethysmogram (PPG) is a bio-optical technology used heavily in wearable health
devices for monitoring vital sign parameters. Therefore, ensuring the quality of PPG signals …

Performance of spectral, autocorrelation and peak count based PR estimation methods under normal/abnormal PPG for wearable devices

GNK Reddy, MS Manikandan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In most wearable devices, pulse rate (PR) is measured from photoplethysmogram (PPG)
signal by using fast Fourier transform (FFT), autoregressive (AR), autocorrelation function …