Current m-Health scenarios in the smart living era, as the interpretation of the smart city at each person's level, present several challenges associated with interoperability between different clinical devices and applications. The Continua Health Alliance establishes design guidelines to standardize application communication to guarantee interoperability among medical devices. In this paper, we describe the implementation of two IEEE agents for oxygen saturation level (SpO2) measurements and electrocardiogram (ECG) data acquisition, respectively, and a smartphone IEEE manager for validation. We developed both IEEE agents over the Bluetooth Health Device Profile following the Continua guidelines and they are part of a telemonitoring system. This system was evaluated in a sample composed of 10 volunteers (mean age 29.8 ± 7.1 y/o; 5 females) under supervision of an expert cardiologist. The evaluation consisted of measuring the SpO2 and ECG signal sitting and at rest, before and after exercising for 15 min. Physiological measurements were assessed and compared against commercial devices, and our expert physician did not find any relevant differences in the ECG signal. Additionally, the system was assessed when acquiring and processing different heart rate data to prove that warnings were generated when the heart rate was under/above the thresholds for bradycardia and tachycardia, respectively.
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http://dx.doi.org/10.3390/s22155648 | DOI Listing |
Nat Sci Sleep
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
Purpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.
Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. The proposed model comprises signal preprocessing, feature extraction, cross-modal interaction, and classification modules.
Diagnostics (Basel)
December 2024
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA.
: This study aimed to explore machine learning approaches for predicting physical exertion using physiological signals collected from wearable devices. : Both traditional machine learning and deep learning methods for classification and regression were assessed. The research involved 27 healthy participants engaged in controlled cycling exercises.
View Article and Find Full Text PDFJ Electrocardiol
December 2024
Emory University, Atlanta, GA, USA. Electronic address:
Over the past sixty years, telemetry monitoring has become integral to hospital care, offering critical insights into patient health by tracking key indicators like heart rate, respiratory rate, blood pressure, and oxygen saturation. Its primary application, continuous electrocardiographic (ECG) monitoring, is essential in diverse settings such as emergency departments, step-down units, general wards, and intensive care units for the early detection of cardiac rhythms signaling acute clinical deterioration. Recent advancements in data analytics and machine learning have expanded telemetry's role from observation to prognostication, enabling predictive models that forecast inhospital events indicative of patient instability.
View Article and Find Full Text PDFJ Med Case Rep
December 2024
Faculty of Healthcare Sciences, Eastern University of Sri Lanka, Chenkaladi, Sri Lanka.
Background: Naphthalene is an aromatic hydrocarbon that potentially produces methemoglobinaemia but rarely causes hemolysis, especially in children with underlying glucose-6-phosphate dehydrogenase deficiency. Although ingestion of a single moth ball by an older child may not be life threatening, it can be fatal if ingested by a toddler.
Case Presentation: A 2-year-old Singhalese boy developed acute severe hemolysis and methemoglobinaemia following ingestion of a mothball.
Health Inf Sci Syst
December 2025
School of Computer Science, Zhejiang Normal University, Jinhua, 321000 China.
Sleep apnea/hypopnea is a sleep disorder characterized by repeated pauses in breathing which could induce a series of health problems such as cardiovascular disease (CVD) and even sudden death. Polysomnography (PSG) is the most common way to diagnose sleep apnea/hypopnea. Considering that PSG data acquisition is complex and the diagnosis of sleep apnea/hypopnea requires manual scoring, it is very time-consuming and highly professional.
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