e.g. mhealth
Search Results (1 to 10 of 58 Results)
Download search results: CSV END BibTex RIS
CSV download: Download all 58 search results
(up to 5,000 articles maximum)
- 14 JMIR mHealth and uHealth
- 8 JMIR Research Protocols
- 8 Journal of Medical Internet Research
- 7 JMIR Formative Research
- 7 JMIR Rehabilitation and Assistive Technologies
- 4 JMIR Aging
- 3 JMIR Human Factors
- 2 Iproceedings
- 1 Interactive Journal of Medical Research
- 1 JMIR Biomedical Engineering
- 1 JMIR Cancer
- 1 JMIR Public Health and Surveillance
- 1 JMIR Serious Games
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Medical Informatics
- 0 JMIR Mental Health
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 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)
From the accelerometer data, 34 gait outcomes were extracted from the data (details are provided in Multimedia Appendix 1).
JMIR Aging 2025;8:e77140
Download Citation: END BibTex RIS
Among the motor manifestations of PD, gait disturbances are notably prevalent and encompass a variety of issues, such as a shuffling gait, reduced step length and diminished automaticity, decreased arm swing, increased double support time, altered cadence, and periodic episodes such as freezing of gait (FOG) [1]. Walking, a fundamental daily activity, is crucial for maintaining functional independence and social well-being [2].
JMIR Mhealth Uhealth 2025;13:e64213
Download Citation: END BibTex RIS
Due to its convenience, remote application, and quantifiability, an intelligent wearable gait analysis measurement system offers a promising alternative direction in gait analysis. This approach directly addresses the limitations of conventional methods by enabling continuous, ecological monitoring of gait parameters in patients’ natural environments.
JMIR Form Res 2025;9:e58864
Download Citation: END BibTex RIS
Gait after a hip fracture has mostly been assessed using patient-reported outcome measures that are prone to response bias or via standardized walking tests in clinical settings and laboratory assessments [15]. Traditional supervised gait assessments using sophisticated technology in laboratory settings, such as gold standard instrumented gait analysis, allow for accurate spatiotemporal measurements of gait in a controlled laboratory environment [14,16].
JMIR Form Res 2025;9:e67792
Download Citation: END BibTex RIS
Gait serves as an indicator of an individual’s health status and physical function [1]. In particular, gait speed has been widely used as a general assessment parameter due to its simple measurement [2], and issue with gait speed have been associated with cognitive decline [3], survival rates [4], and body-related quality of life [5]. However, gait is a complex biomechanical process that requires comprehensive assessment of cadence, rhythm, variability, and asymmetry [6].
JMIR Rehabil Assist Technol 2025;12:e66886
Download Citation: END BibTex RIS
Secondary outcome measures are kinematic assessment of gait, one-leg stand test, 6-minute walk distance (6 MWD), proprioception assessment, and Functional Independence Score in Hemophilia. All patients will have completed their factor replacement 1 hour before the assessment section.
Postural sway will be evaluated using the Biodex balance system, which is a reliable method (Figure 2) [20].
JMIR Res Protoc 2025;14:e66770
Download Citation: END BibTex RIS
Gait and balance were assessed with 3 different active tests. The SBT instructed participants to stand as still as possible for 30 seconds with both feet on the ground and with their eyes open. The UTT prompted participants to perform at least 5 U-turns on an even ground 4 meters apart within 60 seconds and, thus, assesses both gait and dynamic balance. By comparison, the 2 MWT assessed gait during straight walking without turning on an even ground for 2 minutes.
J Med Internet Res 2025;27:e63090
Download Citation: END BibTex RIS
Gait disturbances are common in people with Parkinson disease (PD), and include shuffling gait, shortened step length, altered automaticity, decreased arm swing, and freezing of gait [2]. These represent a particularly disabling group of symptoms, significantly hampering the quality of life of people with PD [3] and increasing the risk of falls [4].
Daily steps are an easy-to-collect and useful measure of ambulatory activity and mobility [5].
JMIR Form Res 2025;9:e63153
Download Citation: END BibTex RIS
This can be in direct terms, for example monitoring systems that assist care professionals carrying out their duties within care settings [12] and also indirectly with at-home monitoring devices designed to reduce the occurrence of injuries by, for example, assessing gait [13,14] and predicting fall events [3,15], with the goal of reducing the potential burden on secondary care and ultimately reducing the burden on the care-home sector and keeping people at home, healthy, and independent for longer [9,16,17]
JMIR Hum Factors 2025;12:e59458
Download Citation: END BibTex RIS
Smartphone and wearable sensor-based technology have been increasingly used to advance the detection and monitoring of various diseases [10], for example, smartphone apps can monitor gait and balance changes and provide valuable insights for patients with progressive Parkinson disease [11].
J Med Internet Res 2025;27:e65615
Download Citation: END BibTex RIS