AIMC Topic: Dyspnea
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate.
Scientific reports
May 21, 2025
Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurately estimating RR for cardiorespiratory fitness is essential. However, machine learning algorithm-related errors are unsuitable for medical decision-m...
Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.
Expert review of respiratory medicine
Mar 2, 2025
BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET res...
Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.
Sensors (Basel, Switzerland)
Feb 26, 2025
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in hea...
Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study.
BMC emergency medicine
Jan 5, 2025
BACKGROUND: In Sweden with about 10 million inhabitants, there are about one million primary ambulance missions every year. Among them, around 10% are assessed by Emergency Medical Service (EMS) clinicians with the primary symptom of dyspnoea. The ri...
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system.
PloS one
Dec 27, 2024
BACKGROUND: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart...
Impact of upper extremity robotic rehabilitation on respiratory parameters, functional capacity and dyspnea in patients with stroke: a randomized controlled study.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Nov 11, 2024
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respiratory functions and muscle strength.
Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient.
Intensive care medicine
May 2, 2024
Automatic Detection of Dyspnea in Real Human-Robot Interaction Scenarios.
Sensors (Basel, Switzerland)
Sep 1, 2023
A respiratory distress estimation technique for telephony previously proposed by the authors is adapted and evaluated in real static and dynamic HRI scenarios. The system is evaluated with a telephone dataset re-recorded using the robotic platform de...
Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone.
Sensors (Basel, Switzerland)
Feb 22, 2023
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were des...
Identification of Uncontrolled Symptoms in Cancer Patients Using Natural Language Processing.
Journal of pain and symptom management
Nov 4, 2021
CONTEXT: For patients with cancer, uncontrolled pain and other symptoms are the leading cause of unplanned hospitalizations. Early access to specialty palliative care (PC) is effective to reduce symptom burden, but more efficient approaches are neede...
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