Security and privacy issues in medical internet of things: overview, countermeasures, challenges and future directions

M Elhoseny, NN Thilakarathne, MI Alghamdi… - Sustainability, 2021 - mdpi.com
The rapid development and the expansion of Internet of Things (IoT)-powered technologies
have strengthened the way we live and the quality of our lives in many ways by combining …

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

Artifact removal from EEG signals using regenerative multi-dimensional singular value decomposition and independent component analysis

AM Judith, SB Priya, RK Mahendran - Biomedical Signal Processing and …, 2022 - Elsevier
The EEG signals are regularly blended with sources like Electrooculogram, Electromyogram
and few other artifacts caused by physical or signal interferences. The presence of artifacts …

A novel deep neural network for detection of Atrial Fibrillation using ECG signals

L Subramanyan, U Ganesan - Knowledge-Based Systems, 2022 - Elsevier
In healthcare practice, one of the most predominantly occurring dysrhythmia is atrial
fibrillation (AF). The anomalous heart rhythm and the deficiency of an evident P-wave signal …

[PDF][PDF] Federated learning for privacy-preserved medical internet of things

NN Thilakarathne, G Muneeswari… - Intell. Autom. Soft …, 2022 - researchgate.net
Healthcare is one of the notable areas where the integration of the Internet of Things (IoT) is
highly adopted, also known as the Medical IoT (MIoT). So far, MIoT is revolutionizing …

Hardware/software co-design of an ECG-PPG preprocessor: A qualitative & quantitative analysis

A Chowdhury, D Das, RCC Cheung… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper aims to design a digital system to pre-process electrocardiogram (ECG) and
photoplethysmogram (PPG) signal for the purpose of hardware implementation. Muscle …

An Internet‐of‐Disease System for COVID‐19 Testing Using Saliva by an AI‐Controlled Microfluidic ELISA Device

NH Bhuiyan, MJ Uddin, J Lee… - Advanced Materials …, 2022 - Wiley Online Library
Abstract Throughout coronavirus disease (COVID‐19) outbreaks, the centers for disease
control and prevention (CDCP) of a country require monitoring of particular territories to …

An energy-efficient centralized dynamic time scheduling for internet of healthcare things

RK Mahendran, V Prabhu, V Parthasarathy… - Measurement, 2021 - Elsevier
Due to the limited energy source in the sensor nodes, the conservation of energy in these
nodes is of utmost importance for Internet of Things (IoT) systems used in monitoring …

Compression and encryption of heterogeneous signals for internet of medical things

P He, S Meng, Y Cui, D Wu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Psychophysiological computing can be utilized to analyze heterogeneous physiological
signals with psychological behaviors in the Internet of Medical Things (IoMT). Since IoMT …

Remote patient monitoring systems, wearable internet of medical things sensor devices, and deep learning-based computer vision algorithms in COVID-19 screening …

AC Cuțitoi - American Journal of Medical Research, 2022 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore remote
patient monitoring systems, wearable Internet of Medical Things sensor devices, and deep …