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Kais Gadhoumi

Assistant Research Professor in the School of Nursing
School of Nursing

Selected Publications

Supervised Learning

Chapter · January 1, 2024 Full text Cite

Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review.

Journal Article Health Aff (Millwood) · October 2023 In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from discriminating against individuals when using clinical algorith ... Full text Link to item Cite

Movement Patterns of Transient and Prolonged Positioning Events in Nursing Home Residents: Results from the TEAM-UP Trial.

Journal Article Advances in skin & wound care · December 2022 ObjectiveTo characterize transient and prolonged body position patterns in a large sample of nursing home (NH) residents and describe the variability in movement patterns based on time of occurrence.MethodsThis study is a descriptive, exp ... Full text Cite

Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS.

Journal Article Physiological measurement · June 2021 Objective.There have been many efforts to develop tools predictive of health deterioration in hospitalized patients, but comprehensive evaluation of their predictive ability is often lacking to guide implementation in clinical practice. In this work ... Full text Cite

Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment.

Journal Article IEEE access : practical innovations, open solutions · January 2021 Photoplethysmography (PPG) is a noninvasive way to monitor various aspects of the circulatory system, and is becoming more and more widespread in biomedical processing. Recently, deep learning methods for analyzing PPG have also become prevalent, achieving ... Full text Cite

A Supervised Approach to Robust Photoplethysmography Quality Assessment.

Journal Article IEEE journal of biomedical and health informatics · March 2020 Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-term AFib detection are now based ... Full text Cite

Causal relationship between neuronal activity and cerebral hemodynamics in patients with ischemic stroke.

Journal Article Journal of neural engineering · March 2020 ObjectiveNeurovascular coupling enables rapid adaptation of cerebral blood flow (CBF) to support neuronal activity. Modern techniques enable the simultaneous recording of neuronal activities and hemodynamic parameters. However, the causal relation ... Full text Cite

Photoplethysmography based atrial fibrillation detection: a review.

Journal Article NPJ digital medicine · January 2020 Atrial fibrillation (AF) is a cardiac rhythm disorder associated with increased morbidity and mortality. It is the leading risk factor for cardioembolic stroke and its early detection is crucial in both primary and secondary stroke prevention. Continuous m ... Full text Cite

Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

Journal Article Physiological measurement · December 2019 ObjectivePhotoplethysmography (PPG) monitoring has been implemented in many portable and wearable devices we use daily for health and fitness tracking. Its simplicity and cost-effectiveness has enabled a variety of biomedical applications, such as ... Full text Cite

Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure.

Journal Article Physiological measurement · January 2019 ObjectiveCerebrovascular reactivity (CR) is a mechanism that maintains stable blood flow supply to the brain. Pressure reactivity index (PRx), the correlation coefficient between slow waves of invasive arterial blood pressure (ABP) and intracrania ... Full text Cite

Wavelet leader multifractal analysis of heart rate variability in atrial fibrillation.

Journal Article Journal of electrocardiology · November 2018 BackgroundAccurate and timely detection of atrial fibrillation (AF) episodes is important in primarily and secondary prevention of ischemic stroke and heart-related problems. In this work, heart rate regularity of ECG inter-beat intervals was inve ... Full text Cite

Robust Assessment of Photoplethysmogram Signal Quality in the Presence of Atrial Fibrillation

Conference Computing in Cardiology · September 1, 2018 A great deal of algorithms currently available to assess the quality of photoplethysmogram (PPG) signals is based on the similarity between pulses to derive signal quality indices. This approach has limitations when pulse morphology become variable due to ... Full text Cite

A Statistical Comparative Study of Photoplethysmographic Signals in Wrist-Worn and Fingertip Pulse-Oximetry Devices

Conference Computing in Cardiology · September 1, 2018 Prolonged time-matching continuous recordings of electrocardiogram and photoplethysmographic waveforms from fingertip pulse oximeter and wrist-worn devices obtained from stroke patients admitted to the intensive care unit were analyzed. Heart rate and puls ... Full text Cite

Seizure prediction for therapeutic devices: A review.

Journal Article Journal of neuroscience methods · February 2016 Research in seizure prediction has come a long way since its debut almost 4 decades ago. Early studies suffered methodological caveats leading to overoptimistic results and lack of statistical significance. The publication of guidelines addressing mainly t ... Full text Cite

Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.

Journal Article PloS one · January 2015 Although treatment for epilepsy is available and effective for nearly 70 percent of patients, many remain in need of new therapeutic approaches. Predicting the impending seizures in these patients could significantly enhance their quality of life if the pr ... Full text Cite

Seizure prediction in patients with mesial temporal lobe epilepsy using EEG measures of state similarity.

Journal Article Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · September 2013 ObjectivesIn patients with intractable epilepsy, predicting seizures above chance and with clinically acceptable performance has yet to be demonstrated. In this study, an intracranial EEG-based seizure prediction method using measures of similarit ... Full text Cite

Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.

Journal Article Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · October 2012 ObjectiveIdentification of consistent distinguishing features between preictal and interictal periods in the EEG is an essential step towards performing seizure prediction. We propose a novel method to separate preictal and interictal states based ... Full text Cite

A cochlear prosthesis stimulation algorithm targeting to minimize the rehabilitation phase and enhance speech comprehension

Conference Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings · December 1, 2000 Efficiency of cochlear stimulation is closely related to the signal processing of the input speech. A variety of techniques were proposed and used for cochlear prosthesis speech analysers. So different seems to be, these techniques are based on two major a ... Cite