Hermie J Hermens
Biographic Data
| ID | 2143538 |
|---|---|
| NAME | Hermie J Hermens |
| GIVEN NAMES | Hermie J |
| FAMILY NAME | Hermens |
| SIGNATURE | HERMENS H J |
| AFFILIATIONS | Roessingh Research and Development, The Netherlands |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Attrition of older adults in web-based health interventions
To identify demographics and personal motivation types that predict dropping out of eHealth interventions among older adults. We conducted an observational cohort study. Participants completed a pre-test questionnaire and got access to an eHealth intervention, called Stranded, for 4 weeks. With survival and Cox-regression analyses, demographics and types of personal motivation were identified that affect drop-out. Ninety older adults started usin…
Acceptance and Potential Impact of the eWall Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment
Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users' physical and cognitive behavior, providing feedback and motivation via an eas…
Development of recommendations for Semg sensors and sensor placement procedures
No prominent works on this page.
Development of recommendations for Semg sensors and sensor placement procedures
Acceptance and Potential Impact of the eWall Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment
Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users' physical and cognitive behavior, providing feedback and motivation via an eas…
Attrition of older adults in web-based health interventions
To identify demographics and personal motivation types that predict dropping out of eHealth interventions among older adults. We conducted an observational cohort study. Participants completed a pre-test questionnaire and got access to an eHealth intervention, called Stranded, for 4 weeks. With survival and Cox-regression analyses, demographics and types of personal motivation were identified that affect drop-out. Ninety older adults started usin…
Computer Science (2 works) · Digital Mental Health Interventions (2 works) · Medicine (2 works) · Mobile Health and mHealth Applications (2 works) · Nursing (2 works) · Psychology (2 works) · Public health (2 works) · Advanced Sensor and Energy Harvesting Materials (1 works) · Affect (linguistics (1 works) · Applied Psychology (1 works)