Iqram Hussain
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View article: Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment
Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment Open
Gait measurements are a central component of functional assessments and risk stratification before surgery. Various sensors can measure gait metrics, but none are routinely integrated into surgical workflows because they are too challengin…
View article: Next generation performance status: digital health technologies across the lung cancer continuum
Next generation performance status: digital health technologies across the lung cancer continuum Open
Lung cancer survival rates have greatly benefited from recent advances in therapies and screening. New digital health technologies offer clinicians another way to personalize and enhance care for these patients. For example, emerging techn…
View article: Corrigendum to “An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease” [Results in Engineering 24 (2024) 103381]
Corrigendum to “An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease” [Results in Engineering 24 (2024) 103381] Open
View article: An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease
An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease Open
Introduction: Cardiovascular disease (CVD) is a leading cause of death and disability globally, with ischemia and arrhythmias being critical contributors. Ischemia, due to reduced myocardial blood flow, can lead to sudden cardiac death, wh…
View article: Estimation of patient-reported outcome measures based on features of knee joint muscle co-activation in advanced knee osteoarthritis
Estimation of patient-reported outcome measures based on features of knee joint muscle co-activation in advanced knee osteoarthritis Open
Electromyography (EMG) is considered a potential predictive tool for the severity of knee osteoarthritis (OA) symptoms and functional outcomes. Patient-reported outcome measures (PROMs), such as the Western Ontario and McMaster Universitie…
View article: Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence
Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence Open
Electromyography (EMG) proves invaluable myoelectric manifestation in identifying neuromuscular alterations resulting from ischemic strokes, serving as a potential marker for diagnostics of gait impairments caused by ischemia. This study a…
View article: Secure, Sustainable Smart Cities and the Internet of Things: Perspectives, Challenges, and Future Directions
Secure, Sustainable Smart Cities and the Internet of Things: Perspectives, Challenges, and Future Directions Open
A secure smart city integrates advanced technologies to enhance efficiency, sustainability, and safety while safeguarding citizens’ privacy and data [...]
View article: Enhanced Ant Colony Optimization for Vehicular Ad Hoc Networks Using Fittest Node Clustering
Enhanced Ant Colony Optimization for Vehicular Ad Hoc Networks Using Fittest Node Clustering Open
Vehicular ad hoc networks (VANETs) are a rapidly evolving field at the intersection of intelligent transportation systems, emphasizing the need for a stable and scalable VANET topology to accommodate growing vehicular densities. The intric…
View article: An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME
An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME Open
Electroencephalography (EEG) is a non-invasive method employed to discern human behaviors by monitoring the neurological responses during cognitive and motor tasks. Machine learning (ML) represents a promising tool for the recognition of h…
View article: Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal Open
State-of-the-art healthcare technologies are incorporating advanced Artificial Intelligence (AI) models, allowing for rapid and easy disease diagnosis. However, most AI models are considered “black boxes,” because there is no explanation f…
View article: Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages
Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages Open
Electroencephalography (EEG) is immediate and sensitive to neurological changes resulting from sleep stages and is considered a computing tool for understanding the association between neurological outcomes and sleep stages. EEG is expecte…
View article: Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System Open
Physiological signals are immediate and sensitive to neurological changes resulting from the mental workload induced by various driving environments and are considered a quantifying tool for understanding the association between neurologic…
View article: Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Prediction of Myoelectric Biomarkers in Post-Stroke Gait Open
Electromyography (EMG) is sensitive to neuromuscular changes resulting from ischemic stroke and is considered a potential predictive tool of post-stroke gait and rehabilitation management. This study aimed to evaluate the potential myoelec…
View article: Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke Open
Electroencephalography (EEG) can access ischemic stroke-derived cortical impairment and is believed to be a prospective predictive method for acute stroke prognostics, neurological outcome, and post-stroke rehabilitation management. This s…
View article: Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device Open
Physiological signals are immediate and sensitive to neural and cardiovascular change resulting from brain stimulation, and are considered as a quantifying tool with which to evaluate the association between brain stimulation and cognitive…
View article: Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management
Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management Open
Electrocardiogram (ECG) is sensitive to autonomic dysfunction and cardiac complications derived from ischemic or hemorrhage stroke and is supposed to be a potential prognostic tool in stroke identification and post-stroke treatment. ECG da…
View article: HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics
HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics Open
Electroencephalography (EEG) is immediate and sensitive to cortical impairment resulting from ischemic stroke and is considered as the potential predictive tool of stroke onset, and post-stroke clinical management. Brainwave monitoring out…
View article: Intelligent in-car health monitoring system for elderly drivers
Intelligent in-car health monitoring system for elderly drivers Open