Review on compressive sensing algorithms for ECG signal for IoT based deep learning framework
SS Kumar, P Ramachandran - Applied Sciences, 2022 - mdpi.com
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT)
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
Low-power technologies for wearable telecare and telehealth systems: A review
Wearable telecare and telehealth systems are those which can be worn on the human body
and continuously monitor a user's vital status. Even though these systems have already …
and continuously monitor a user's vital status. Even though these systems have already …
Robust epileptic seizure detection on wearable systems with reduced false-alarm rate
Epilepsy affects more than 50 million people and ranks among the most common
neurological diseases worldwide. Despite advances in treatment, one-third of patients still …
neurological diseases worldwide. Despite advances in treatment, one-third of patients still …
HEAL-WEAR: An ultra-low power heterogeneous system for bio-signal analysis
L Duch, S Basu, R Braojos, G Ansaloni… - … on Circuits and …, 2017 - ieeexplore.ieee.org
Personalized healthcare devices enable low-cost, unobtrusive and long-term acquisition of
clinically relevant biosignals. These appliances, termed wireless body sensor nodes …
clinically relevant biosignals. These appliances, termed wireless body sensor nodes …
Energy-efficiency analysis of analog and digital compressive sensing in wireless sensors
DE Bellasi, L Benini - … Transactions on Circuits and Systems I …, 2015 - ieeexplore.ieee.org
Compressive sensing (CS) is a signal acquisition strategy that, based on the assumption of
sparsity, promises to relax the design constraints of signal acquisition systems with respect …
sparsity, promises to relax the design constraints of signal acquisition systems with respect …
SPARE: A spectral peak recovery algorithm for PPG signals pulsewave reconstruction in multimodal wearable devices
The photoplethysmographic (PPG) signal is an unobtrusive blood pulsewave measure that
has recently gained popularity in the context of the Internet of Things. Even though it is …
has recently gained popularity in the context of the Internet of Things. Even though it is …
Grammatical evolutionary techniques for prompt migraine prediction
The migraine disease is a chronic headache presenting symptomatic crisis that causes high
economic costs to the national health services, and impacts negatively on the quality of life …
economic costs to the national health services, and impacts negatively on the quality of life …
An approximate compressor for wearable biomedical healthcare monitoring systems
Technology advancements as well as the Internet-of-Things paradigm enable the design of
wearable personal healthcare monitoring systems. Ultra-low-power design is a challenging …
wearable personal healthcare monitoring systems. Ultra-low-power design is a challenging …
Self-aware anomaly-detection for epilepsy monitoring on low-power wearable electrocardiographic devices
Low-power wearable technologies offer a promising solution to pervasive epilepsy
monitoring by removing the constraints concerning time and location, on one hand, and …
monitoring by removing the constraints concerning time and location, on one hand, and …
Camthings: Iot camera with energy-efficient communication by edge computing based on deep learning
In recent years, the demand for IoT cameras has increased due to the high demand for
image data. However, the image sensor is unsuitable as an energy-constrained edge device …
image data. However, the image sensor is unsuitable as an energy-constrained edge device …