Yangliuqing He, Fenrong Liang, Yiming Wang, Yuhan Wei, Tianpei Ma
{"title":"[Application Progress of Wearable Devices in the Field of Depression Monitoring and Intervention].","authors":"Yangliuqing He, Fenrong Liang, Yiming Wang, Yuhan Wei, Tianpei Ma","doi":"10.12455/j.issn.1671-7104.230630","DOIUrl":null,"url":null,"abstract":"<p><p>Depression's high recurrence rate and severe consequences pose significant challenges to public health. To address this issue effectively, this review explores the innovative application of wearable devices in monitoring and intervening in depression, surpassing the limitations of traditional subjective assessments and patient self-reports. The paper systematically analyzes recent studies utilizing wearable devices to monitor physiological and behavioral indicators of depression, categorizing them by different technological types and evaluating their practical effectiveness in early diagnosis and intervention. The findings indicate that wearable devices can continuously monitor physiological indicators and behavioral patterns related to depression, potentially enabling early detection of depressive episodes and supporting timely interventions. Despite challenges such as data privacy and user acceptance, wearable technology holds immense potential in enhancing clinical outcomes in depression treatment.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.230630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Depression's high recurrence rate and severe consequences pose significant challenges to public health. To address this issue effectively, this review explores the innovative application of wearable devices in monitoring and intervening in depression, surpassing the limitations of traditional subjective assessments and patient self-reports. The paper systematically analyzes recent studies utilizing wearable devices to monitor physiological and behavioral indicators of depression, categorizing them by different technological types and evaluating their practical effectiveness in early diagnosis and intervention. The findings indicate that wearable devices can continuously monitor physiological indicators and behavioral patterns related to depression, potentially enabling early detection of depressive episodes and supporting timely interventions. Despite challenges such as data privacy and user acceptance, wearable technology holds immense potential in enhancing clinical outcomes in depression treatment.