
pmid: 12845820
The article summarizes ongoing research on both mobile interfaces and therapies related to rehabilitation with special focus on emerging possibilities for home therapy programs for two areas of special interest to our group: stroke and cardiac. Both are areas where considerable scientific evidence suggesting the need for new therapeutic strategies has not significantly impacted clinical practice, and where home-based programs may be the answer. The article covers two aspects of the design of the mobile intelligent telerehabilitation assistant (ITA), a long-term project intended to provide an alternative for 21st-century rehabilitative telecare, and describes the interactive, mobile ITA interfaces and telecommunications infrastructure, which was motivated by the need identified by participants at the Home Care Technologies Workshop for user-centered interactive systems. We also discuss an approach for addressing the top recommendation of the Workshop: the critical need for intelligent interpretation and management of healthcare data. With the addition of wearable systems and telehealth tools, embedded intelligence takes added significance. We also address the challenge of extracting expert knowledge.
Miniaturization, Rehabilitation, Transducers, Monitoring, Ambulatory, Equipment Design, Telemedicine, Clothing, Artificial Intelligence, Therapy, Computer-Assisted, Humans, Diagnosis, Computer-Assisted
Miniaturization, Rehabilitation, Transducers, Monitoring, Ambulatory, Equipment Design, Telemedicine, Clothing, Artificial Intelligence, Therapy, Computer-Assisted, Humans, Diagnosis, Computer-Assisted
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 98 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
