Title |
Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments
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Published in |
Frontiers in Neuroscience, August 2018
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DOI | 10.3389/fnins.2018.00541 |
Pubmed ID | |
Authors |
Sven Kalle, Winfried Schlee, Rüdiger C. Pryss, Thomas Probst, Manfred Reichert, Berthold Langguth, Myra Spiliopoulou |
Abstract |
In the recent years, there has been an increasing interest in the potential of internet- and smartphone-based technologies for the support of tinnitus patients. A broad spectrum of relevant approaches, some in the form of studies, others in the form of market products, have been mentioned in literature. They include auditory treatments, internet-based Cognitive Behavioral Therapy (iCBT), serious games, and questionnaires for tinnitus monitoring. The goal of this study is to highlight the role of existing internet-based and smart technologies for the advancement of tinnitus clinical practice: we consider contributions that refer to treatments and diagnostics, and we include contributions refering to self-help measures. We elaborate on the potential and challenges of such solutions and identify constraints associated to their deployment, such as the demand for familiarity with internet-based services and the need to re-design interactive services so that they fit on the small surface of a smartwatch. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 15% |
Researcher | 12 | 14% |
Student > Bachelor | 8 | 9% |
Student > Ph. D. Student | 6 | 7% |
Student > Doctoral Student | 5 | 6% |
Other | 8 | 9% |
Unknown | 33 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 20% |
Nursing and Health Professions | 8 | 9% |
Psychology | 7 | 8% |
Computer Science | 6 | 7% |
Engineering | 4 | 5% |
Other | 6 | 7% |
Unknown | 37 | 44% |