| Literature DB >> 27747209 |
Karl Schriewer1, Grzegorz Bulaj2.
Abstract
Entities:
Keywords: antidepressant; medical device; prevention; psychosocial; public health; randomized clinical trial; telemedicine; wearable
Year: 2016 PMID: 27747209 PMCID: PMC5043262 DOI: 10.3389/fpubh.2016.00217
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Music streaming services as adjunct therapies for depression, anxiety, and bipolar symptoms by modulating arousal and valence. (A) A valence-arousal plane illustrating types of emotion-related music. Characteristics in the four categories of music were selected from listening to mood-related music streaming services and searching for similarities in musical pieces classified by the music provider as similar within the same categories. (B) Schematic organization of a music streaming service as an adjunct therapy for patients with depression, anxiety, or bipolar spectrum disorders. Streaming server contains millions of musical tracks grouped into a wide selection of genres. Internet and mobile devices, such as smartphones, serve as the delivery system. After a listener selects the preferred type of music, the software algorithm generates a playlist for streaming clinically beneficial “dose” of music with positive valence and activating arousal. Hypothetical values express percent of time/songs with music activating arousal per day; these values can be determined for individual medical conditions (depression, bipolar, and anxiety). The streamed musical content is further optimized for target valence/arousal by interplay between the streaming software algorithm and the listener’s preferences and biofeedback (also contributing to outcomes and mitigating bias in clinical trials). Double-headed arrows emphasize the flow of music and the feedback mechanism. Rigorous testing of the clinical efficacy of music streaming software (green box) in randomized clinical trials is necessary to develop and validate the music streaming therapy.