Or Flora, Torous John, Onnela Jukka-Pekka
Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health.
Department of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center.
Psychiatr Rehabil J. 2017 Sep;40(3):320-324. doi: 10.1037/prj0000279.
This article evaluates the potential of smartphone audio data to monitor individuals recovering from mood disorders.
A comprehensive literature review was conducted based on searches in 9 bibliographic databases.
Seven articles were identified that used smartphone audio data to monitor participants with bipolar disorder from 4 to 14 weeks. The studies captured audio data in various contexts (e.g., in-person daily conversations, phone calls) and used common audio features (e.g., pitch and volume) to ascertain clinically relevant outcomes, including mood and social rhythm. Findings suggest that the utility of audio data in clinical and research contexts remains relatively unexplored and presents some challenges. For example, information on adherence and engagement among individuals recovering from bipolar disorder were often insufficient to gauge the generalizability of findings.
Despite growing interest, additional research is required to confirm clinical utility of smartphone audio data for mood disorders. (PsycINFO Database Record
本文评估智能手机音频数据用于监测情绪障碍康复者的潜力。
基于对9个文献数据库的检索进行了全面的文献综述。
共识别出7篇文章，这些文章利用智能手机音频数据对双相情感障碍患者进行了4至14周的监测。研究在各种情境下（如面对面日常对话、电话通话）采集音频数据，并使用常见的音频特征（如音高和音量）来确定包括情绪和社交节奏在内的临床相关结果。研究结果表明，音频数据在临床和研究背景下的效用仍相对未被探索，且存在一些挑战。例如，双相情感障碍康复者的依从性和参与度信息往往不足以衡量研究结果的普遍性。
尽管兴趣日益浓厚，但仍需更多研究来证实智能手机音频数据对情绪障碍的临床效用。（《心理学文摘数据库记录》
