School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
Biosensors (Basel). 2024 Aug 30;14(9):422. doi: 10.3390/bios14090422.
Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, and a patient's battle with depression is often a long one. Because the causes, symptoms, and effects of medications are complex and highly individualized, early identification and personalized treatment of depression are key to improving treatment outcomes. The development of wearable electronics, machine learning, and other technologies in recent years has provided more possibilities for the realization of this goal. Conducting regular monitoring through biosensing technology allows for a more comprehensive and objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization symptoms, analyzing etiology, and evaluating the effectiveness of treatment programs. This review summarizes recent research on biosensing technologies for depression. Special attention is given to technologies that can be portable or wearable, with the potential to enable patient use outside of the hospital, for long periods.
抑郁症目前是全球导致非自然死亡和医疗负担的主要因素，患者与抑郁症的斗争往往是漫长的。由于药物的原因、症状和效果复杂且高度个体化，早期识别和个性化治疗抑郁症是改善治疗效果的关键。近年来，可穿戴电子设备、机器学习和其他技术的发展为实现这一目标提供了更多的可能性。通过生物传感技术进行定期监测，可以比以前的自我评估进行更全面和客观的分析。这包括识别抑郁发作、区分躯体化症状、分析病因和评估治疗方案的效果。本文综述了抑郁症生物传感技术的最新研究进展。特别关注那些具有便携性或可穿戴性的技术，这些技术有可能使患者在医院外长时间使用。
