e.g. mhealth
Search Results (1 to 3 of 3 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
- 1 JMIR Rehabilitation and Assistive Technologies
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 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)

Approximately 40% of people who had survived a stroke experience disabilities [2,3], and over half of the patients with acute stroke develop motor speech disorders, particularly dysarthria [4]. Poststroke dysarthria results from weakened, slow, or impaired speech production muscles caused by cranial nerve damage [5]. Poststroke dysarthria can cause abnormalities in vocal quality, pace, strength, and volume, ultimately leading to reduced speech intelligibility.
J Med Internet Res 2024;26:e56417
Download Citation: END BibTex RIS

Having knowledge of the topic of discussion during discourse may be helpful in understanding what the patient with dysarthria is saying; however, it has been shown that even the patterns of intertopic switching by these speakers are outside of the usual discourse norms. As such, the primary task of listener-targeted remediation in offsetting the intelligibility burden associated with dysarthria from the speaker is left with the listener [3,4].
JMIR Rehabil Assist Technol 2023;10:e44489
Download Citation: END BibTex RIS

Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study
Dysarthria severity ranged from mild to moderate in these speakers and was assessed from a conversation sample by an experienced speech and language pathologist. Consensus with a second speech and language pathologist was obtained for the final dysarthria severity estimates [29].
Speakers’ biographical details and clinical characteristics.
a YPD: years postdiagnosis.
b P: patient (speaker with dysarthria associated with Parkinson disease).
c HC: healthy control.
d N/A: not applicable.
J Med Internet Res 2022;24(10):e40567
Download Citation: END BibTex RIS