Published: Dec. 6, 2024
Language: Английский
Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 676 - 676
Published: Jan. 23, 2025
Atrial fibrillation (AF), a prevalent cardiac arrhythmia and major contributor to stroke risk, is anticipated increase in incidence with the aging global population. For effective AF management, particularly for paroxysmal (PAF), long-term accurate monitoring essential. However, traditional methods, including Holter ECGs implantable monitors (ICMs), present limitations comfort, compliance extended capabilities. Recent advancements wearable technology have introduced smart textile-based ECG devices, which incorporate electrochemical sensors into fabrics, enabling non-invasive, continuous while enhancing user comfort. This review evaluates devices by comparing their performance—assessed through detection rates, signal-to-noise ratio (SNR) total analysis time—against conventional 12-lead ECG. Furthermore, this examines acceptability factors, patient-reported usability during resting physical activities skin-related adverse effects. The findings aim provide insights future device development facilitate integration clinical practice.
Language: Английский
Citations
2
Diagnostics, Journal Year: 2024, Volume and Issue: 14(11), P. 1103 - 1103
Published: May 26, 2024
Background: Artificial intelligence (AI) can radically change almost every aspect of the human experience. In medical field, there are numerous applications AI and subsequently, in a relatively short time, significant progress has been made. Cardiology is not immune to this trend, fact being supported by exponential increase number publications which algorithms play an important role data analysis, pattern discovery, identification anomalies, therapeutic decision making. Furthermore, with technological development, have appeared new models machine learning (ML) deep (DP) that capable exploring various cardiology, including areas such as prevention, cardiovascular imaging, electrophysiology, interventional many others. sense, present article aims provide general vision current state use cardiology. Results: We identified included subset 200 papers directly relevant research covering wide range applications. Thus, paper presents arithmology, clinical or emergency procedures summarized manner. Recent studies from highly scientific literature demonstrate feasibility advantages using different branches Conclusions: The integration cardiology offers promising perspectives for increasing accuracy decreasing error rate efficiency practice. From predicting risk sudden death ability respond cardiac resynchronization therapy diagnosis pulmonary embolism early detection valvular diseases, shown their potential mitigate feasible solutions. At same limits imposed small samples studied highlighted alongside challenges presented ethical implementation; these relate legal implications regarding responsibility making processes, ensuring patient confidentiality security. All constitute future directions will allow
Language: Английский
Citations
11
Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 588 - 588
Published: Jan. 20, 2025
With the rise of modern healthcare monitoring, heart rate (HR) estimation using remote photoplethysmography (rPPG) has gained attention for its non-contact, continuous tracking capabilities. However, most HR methods rely on stable, fixed sampling intervals, while practical image capture often involves irregular frame rates and missing data, leading to inaccuracies in measurements. This study addresses these issues by introducing low-complexity timing correction methods, including linear, cubic, filter interpolation, improve from rPPG signals under conditions data loss. Through a comparative analysis, this offers insights into efficient techniques enhancing rPPG, particularly suitable edge-computing applications where low computational complexity is essential. Cubic interpolation can provide robust performance reconstructing but requires higher resources, linear offer more solutions. The proposed reliability rPPG-based estimation, making it solution real-world applications.
Language: Английский
Citations
0
EURASIP Journal on Information Security, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Feb. 25, 2025
Language: Английский
Citations
0
Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113301 - 113301
Published: March 1, 2025
Language: Английский
Citations
0
Materials Today Bio, Journal Year: 2025, Volume and Issue: 32, P. 101663 - 101663
Published: March 14, 2025
Language: Английский
Citations
0
British Journal of Cardiac Nursing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 5
Published: May 6, 2025
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(10), P. 2982 - 2982
Published: May 9, 2025
The increasing focus on improving care for high-cost patients has highlighted the potential of Hospital at Home (HaH) and remote patient monitoring (RPM) programs to optimize outcomes while reducing healthcare costs. This paper examines role wearable devices with electrocardiogram (ECG) capabilities continuous cardiac monitoring, a crucial aspect timely detection management various conditions. functionality current technology is scrutinized determine its effectiveness in meeting clinical needs, employing proposed ABCD guide (accuracy, benefit, compatibility, data governance) evaluation. While smartwatches show promise detecting arrhythmias like atrial fibrillation, their broader diagnostic capabilities, including corrected QT (QTc) intervals during pharmacological interventions approximating multi-lead ECG information improved myocardial infarction detection, are also explored. Recent advancements machine learning deep health highlighted, alongside persistent challenges, particularly concerning signal quality need further validation widespread adoption older adults settings. Ongoing improvements necessary overcome limitations fully realize providing optimal high-risk patients.
Language: Английский
Citations
0
International Journal of Eating Disorders, Journal Year: 2025, Volume and Issue: unknown
Published: May 15, 2025
ABSTRACT Autonomic assessment has traditionally been used for cardiovascular evaluation, but its applications extend into the field of eating disorders and psychiatry at large. By measuring heart rate, rate variability, electrodermal activity with wearable sensor technology, one can observe state trait adaptive responses parasympathetic sympathetic nervous systems. Individuals on anorexia atypical nervosa spectrum often present high conventionally considered cardioprotective, yet likely maladaptive in these disorders. With this phenotype, it may be advantageous to employ a unique, logical therapeutic strategy enhancing response while reducing response. integration autonomic phenotyping (i.e., aggregating psychophysiological indices), data‐driven idiographic treatment approaches have potential go beyond choosing most effective psychotherapy an individual. Determining individual phenotypes, regardless disorder diagnosis, augment other outcomes inform options monitor progression disorder.
Language: Английский
Citations
0
Cureus, Journal Year: 2024, Volume and Issue: unknown
Published: April 11, 2024
Electronic health record (EHR) systems have developed over time in parallel with general advancements mainstream technology. As artificially intelligent (AI) rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful Particularly appealing how AI may aid improving healthcare efficiency note-writing automation. This literature review explores current state EHR technologies healthcare, specifically focusing on possibilities for addressing challenges through automation dictation and processes integration. offers a broad understanding existing capabilities potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, AI-assisted procedure note dictation. The primary objective to provide researchers valuable insights, enabling them generate new within landscape. By exploring benefits, challenges, future integration, encourages development innovative solutions, goal enhancing patient care delivery efficiency.
Language: Английский
Citations
3