Convolutional neural network-based human activity recognition for edge fitness and context-aware health monitoring devices

N Phukan, S Mohine, A Mondal… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The vital signs can vary significantly depending on the daily physical activities, which may
not be due to defects of the organs. Under remote human health-monitoring applications, for …

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 …

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 …

Fast quality-aware amdf based pulse rate estimation from compressed ppg measurements for wearable vital signs monitor

PN Sivaranjini, MS Manikandan… - 2023 15th …, 2023 - ieeexplore.ieee.org
Modern wearable or portable health monitoring devices are capable of photoplethysmogram
(PPG) sensing, processing, analyzing, storing and transferring signal and parameters …

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 …

Computationally-efficient pulse rate estimation from compressed ppg measurements for continuous vital signs monitoring

PN Sivaranjini, MS Manikandan - 2023 5th International …, 2023 - ieeexplore.ieee.org
Energy-constrained vital monitoring devices highly demand energy-efficient pulse rate (PR)
estimation from photoplethysmogram (PPG) signal. In this paper, we propose a …

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 …

Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor

SP Surapaneni, MS Manikandan - 2023 15th International …, 2023 - ieeexplore.ieee.org
Photoplethysmography (PPG) signals play an important role for automatic measurement of
pulse rate, blood pressure, non-invasive blood glucose level and respiration rate. Most of …

Compressed Sensing Based SpO2 and PR Estimation for Improving Resource Utilization Efficiency of Wearables in IoMT Applications

PN Sivaranjini, MS Manikandan… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Continuous measurement of oxygen saturation (SpO2) and pulse rate (PR) is most essential
for diagnosis of cardiovascular and chronic pulmonary diseases. Affordable miniaturized …