Artificial Intelligence-Based Algorithms and Healthcare Applications of Respiratory Inductance Plethysmography: A Systematic Review

MS Rahman, S Chowdhury, M Rasheduzzaman… - Algorithms, 2024 - mdpi.com
breathing patterns from RIP data can be used in diagnostic … can efficiently detect the respiratory
rate in RIP signals on a … a variety of both physiological and pathological conditions. The …

Human respiration monitoring using infrared thermography and artificial intelligence

P Jagadev, LI Giri - Biomedical Physics & Engineering Express, 2020 - iopscience.iop.org
… The respiration rate (RR) is the most vital parameter used for … by implementing the 'Breath
detection algorithm' (BDA). This … Respiration is an essential physiological process of inhaling …

A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence

E Melekoglu, U Kocabicak, MK Uçar, C Bilgin… - PeerJ Computer …, 2022 - peerj.com
… that make breathing difficult, and because the disease is often permanent and progressive,
… In addition, patients were exposed to many psychological and physiological problems while …

[HTML][HTML] Overview of Respiratory Sensor Solutions to Support Patient Diagnosis and Monitoring

I Karpiel, M Mysiński, K Olesz… - Sensors (Basel …, 2025 - pmc.ncbi.nlm.nih.gov
… , using terms related to machine learning, artificial intelligence, … the results with respiratory
induction plethysmography (RIP). … analyzing physiological parameters such as respiratory rate, …

Applications of artificial intelligence and machine learning in respiratory medicine

S Gonem, W Janssens, N Das, M Topalovic - Thorax, 2020 - thorax.bmj.com
… cancer diagnosis, there is evidence that DNNs can be used … including spirometry, body
plethysmography and measurement of … of the dynamics of physiological regulation in health and …

[HTML][HTML] Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor …

GB Othman, AR Ynineb, E Yumuk, H Farbakhsh… - Sensors, 2024 - mdpi.com
physiological parameters such as heart rate, respiratory rate, … monitoring, and respiratory
inductive plethysmography (RIP) … detection of potential abnormalities in respiratory parameters

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns

K Kazemi, A Abiri, Y Zhou, A Rahmani… - … in Biology and Medicine, 2024 - Elsevier
… and physiological changes such as increased heart rate and … is evaluated using datasets
from patients diagnosed with … respiratory effort sensors using inductance plethysmography

AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review

D Peng, L Sun, Q Zhou, Y Zhang - Health Information Science and …, 2025 - Springer
… pontomedullary pacemaker generating breathing rhythm [5]. … plethysmography; Resp N,
oronasal airflow measured usingArtificial Neural Network (ANN) based model for sleep apnea …

New approaches to monitoring respiratory activity as part of an intelligent model for stress assessment

G Ribeiro, O Postolache - … on Computational Collective Intelligence, 2023 - Springer
intelligent algorithms developed for real-time respiratory rate … a basis for the diagnosis
of several respiratory diseases, but … Regarding Impedance Plethysmography, this non-invasive …

[HTML][HTML] A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions

M Filosa, L Massari, D Ferraro, G D'Alesio… - Artificial Intelligence in …, 2022 - Elsevier
… individual's breathing and robust real-time event detection … only focus on retrieving the
respiratory rate (ie, the number of … , the user's physical or respiratory behavioral changes (because …