e.g. mhealth
Search Results (1 to 10 of 13 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Interactive Journal of Medical Research
- 2 JMIR Pediatrics and Parenting
- 2 JMIR Research Protocols
- 2 JMIR mHealth and uHealth
- 2 Journal of Medical Internet Research
- 1 JMIR Formative Research
- 1 JMIR Medical Education
- 1 JMIR Perioperative Medicine
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 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 Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Aging
- 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)
Motor processing and the voluntary control of muscles of respiration engaged when speaking, upon exertion, coughing, or with exercise may be weakened following damage directly to the cerebral cortex or the descending axonal projections. Consequently, individuals after stroke may exhibit prolonged exercise intolerance, dyspnea, and airway clearance dysfunction.
JMIR Res Protoc 2024;13:e59749
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
With the introduction of photoplethysmography-based pulse oximeters, HR and Sp O2 can easily be monitored using a single device, and respiration is often monitored visually or through separate devices as required. A single device that can monitor all 3 signs is a desirable diagnostic tool for emergency medicine and for the monitoring as well as diagnosis of other diseases [5].
JMIR Form Res 2024;8:e55361
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology
Reference 16: Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration Reference 18: Methods to extract respiration information from ECG signals Reference 19: Deriving respiration from photoplethysmographic pulse widthrespiration
JMIR Mhealth Uhealth 2020;8(7):e13737
Download Citation: END BibTex RIS