e.g. mhealth
Search Results (1 to 10 of 37 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 8 JMIR Cardio
- 5 JMIR Medical Informatics
- 5 JMIR mHealth and uHealth
- 5 Journal of Medical Internet Research
- 4 JMIR Research Protocols
- 3 JMIR Formative Research
- 2 JMIR Biomedical Engineering
- 2 JMIR Medical Education
- 1 Interactive Journal of Medical Research
- 1 JMIR Human Factors
- 1 JMIR Mental Health
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Overwhelmingly, real-world studies have opted to use wrist-worn photoplethysmography sensors to evaluate HRV over other more accurate methods such as chest-worn electrocardiogram (ECG) sensors, likely improving patient compliance in these studies. As a result, we must determine how to best assess data from wrist-worn photoplethysmography sensors, including accounting for missing data and assessing data validity compared with ECG HRV data.
JMIR Form Res 2025;9:e53645
Download Citation: END BibTex RIS
Wearable Electrocardiogram Technology: Help or Hindrance to the Modern Doctor?
The electrocardiogram (ECG) is one of the most commonly obtained test results in medical practice [1,2]. By measuring the electrical activity of the heart, an ECG can indicate cardiac arrhythmias and structural defects, respiratory disease, electrolyte disturbances, and even noncardiac events such as subarachnoid hemorrhage [1].
JMIR Cardio 2025;9:e62719
Download Citation: END BibTex RIS
Kardia Mobile 6 L (Alive Cor Inc, Mountain View, CA) and a smartwatch, Apple Watch (Apple Inc, Cupertino, CA), were used to derive a single-lead ECG of 30 seconds. A lead-1 ECG was recorded using Kardia Mobile 6 L by positioning the device on the left knee with both thumbs on the device’s front electrodes [17]. To capture a lead-1 ECG using the Apple Watch, the participant wore the watch on the left wrist, ensuring skin contact with the electrode on the watch’s underside.
JMIR Form Res 2025;9:e65139
Download Citation: END BibTex RIS
The data sources included the University Hospital Southampton (154 records, 108 with fibrosis), the PTB Diagnostic ECG Database (54 patients, 50 with fibrosis), and additional healthy controls from the PTB database (52 patients without fibrosis and CMR data) [53,54]. Preprocessing involved ECG transformation to VCG where applicable, ECG baseline removal, and wave boundary determination [55,56]. Feature selection initially included 9 features from all 3 planes of the VCG.
JMIR Cardio 2024;8:e60697
Download Citation: END BibTex RIS
Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations
Electrocardiogram (ECG) interpretation is an essential skill in cardiovascular medicine. The rise of artificial intelligence (AI) has led to many attempts to automate ECG interpretations [1]. As a representative of generative AI, Chat GPT has shown promising potential in cardiovascular medicine [2,3]. However, since early versions of Chat GPT cannot process graphical information, its ability for ECG interpretation is unclear.
J Med Internet Res 2024;26:e54607
Download Citation: END BibTex RIS
A 2018 study published in the Journal of Arrhythmias reviewed portable out-of-hospital ECG devices [22,23]. Of the devices that they reviewed, Alive Cor’s Kardia Mobile device was determined to be accurate in measuring QTC wave intervals on ECG and was found to have a sensitivity of 98.5% and a specificity of 91.4% in pharmacy patients older than 65 years [24,25].
JMIR Res Protoc 2024;13:e52647
Download Citation: END BibTex RIS
Electrocardiography (ECG) interpretation is a fundamental skill necessary during medical school education and in the practice of clinical medicine and surgery.
JMIR Med Educ 2024;10:e46507
Download Citation: END BibTex RIS
However, defining the exact PVC burden remains a challenge because of its substantial hourly or daily variation, and recent evidence recommends that patients undergo ambulatory ECG monitoring throughout the day to observe its maximum burden [1].
J Med Internet Res 2024;26:e46098
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Any cardiac arrhythmia can be detected by ECG diagnostics, and consequently, suitable and timely treatment by a doctor can prevent a stroke.
As stated, affordable compact devices for recording a single-lead ECG at home entered the market recently [6]. Unlike the conventional ECG, a diagnosis is no longer dependent on the symptoms to occur at the time of measurement in a doctor’s office.
JMIR Cardio 2023;7:e50701
Download Citation: END BibTex RIS