Smart Technology in Cardiorespiratory Monitoring versus Traditional Methods. Is It Useful?

Objective: To evaluate the role of smart technology in cardiorespiratory monitoring compared to the traditional medical tools. Background: The sensors integrated into smartphones, and their computational power enables wide usage in many areas of daily life, including health and activity monitoring. Parameters such as heart rate (HR), blood oxygen saturation (SPO2) and blood pressure (BP) can be measured using a smartphone. Patients and Methods : This cross section comparative study was carried out on 200 conscious and cooperative patients aged >18 years old, both sexes, with variety of chest diseases as COPD, asthma, pleural effusion and pneumonia. All patients were subjected to full history taken from the patients, full clinical assessment, and laboratory and radiological investigations [Complete blood count, arterial blood gases (ABG), Chest X – ray, and ECG], and pulse oximetry and compared with smart technology measurements and evaluations. Results: There was a statistically significant difference between SPO2 measurements by both ABG, pulse oximeter and smart technology. Significant differences were found in measurement of HR in relation to ECG, and SPO2 in relation to ABG, and pulse oximeter. There was a significant positive correlation between measurements of SPO2 by ABG, pulse oximeter, and sphygmomanometer and smart technology (P value

Authors

Publication Details

Journal
Menoufia Medical Journal
Published
2025-04-22
DOI
https://doi.org/10.59204/2314-6788.3311
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Technology in Cardiorespiratory Monitoring versus Traditional Methods. Is It Useful?

Mohammed Attia Zamzam, Samy S. El-Dahdouh, Basem Mostafa Aboyosuf, Asmaa M. AbdelTawab
Menoufia Medical Journal
Cardiovascular and exercise physiology
article

Smart Technology in Cardiorespiratory Monitoring versus Traditional Methods. Is It Useful?

Mohammed Attia Zamzam, Samy S. El-Dahdouh, Basem Mostafa Aboyosuf, Asmaa M. AbdelTawab
article en

Abstract

Objective: To evaluate the role of smart technology in cardiorespiratory monitoring compared to the traditional medical tools. Background: The sensors integrated into smartphones, and their computational power enables wide usage in many areas of daily life, including health and activity monitoring. Parameters such as heart rate (HR), blood oxygen saturation (SPO2) and blood pressure (BP) can be measured using a smartphone. Patients and Methods : This cross section comparative study was carried out on 200 conscious and cooperative patients aged >18 years old, both sexes, with variety of chest diseases as COPD, asthma, pleural effusion and pneumonia. All patients were subjected to full history taken from the patients, full clinical assessment, and laboratory and radiological investigations [Complete blood count, arterial blood gases (ABG), Chest X – ray, and ECG], and pulse oximetry and compared with smart technology measurements and evaluations. Results: There was a statistically significant difference between SPO2 measurements by both ABG, pulse oximeter and smart technology. Significant differences were found in measurement of HR in relation to ECG, and SPO2 in relation to ABG, and pulse oximeter. There was a significant positive correlation between measurements of SPO2 by ABG, pulse oximeter, and sphygmomanometer and smart technology (P value

Menoufia Medical JournalVol. 38(2)
Openalex Percentile: Top 87%
Cardiovascular and exercise physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.