Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9, 852. Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.
CONAHCYT-Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9, 852. Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.
Biosensors (Basel). 2024 Nov 15;14(11):556. doi: 10.3390/bios14110556.
Autism Spectrum Disorder (ASD) necessitates comprehensive management, addressing complex challenges in social communication, behavioral regulation, and sensory processing, for which wearable technologies offer valuable tools to monitor and support interventions. Therefore, this review explores recent advancements in wearable technology, categorizing devices based on executive function, psychomotor skills, and the behavioral/emotional/sensory domain, highlighting their potential to improve ongoing management and intervention. To ensure rigor and comprehensiveness, the review employs a PRISMA-based methodology. Specifically, literature searches were conducted across diverse databases, focusing on studies published between 2014 and 2024, to identify the most commonly used wearables in ASD research. Notably, 55.45% of the 110 devices analyzed had an undefined FDA status, 23.6% received 510(k) clearance, and only a small percentage were classified as FDA Breakthrough Devices or in the submission process. Additionally, approximately 50% of the devices utilized sensors like ECG, EEG, PPG, and EMG, highlighting their widespread use in real-time physiological monitoring. Our work comprehensively analyzes a wide array of wearable technologies, including emerging and advanced. While these technologies have the potential to transform ASD management through real-time data collection and personalized interventions, improved clinical validation and user-centered design are essential for maximizing their effectiveness and user acceptance.
自闭症谱系障碍 (ASD) 需要全面管理,解决社交沟通、行为调节和感官处理方面的复杂挑战,而可穿戴技术为监测和支持干预提供了有价值的工具。因此,本综述探讨了可穿戴技术的最新进展,根据执行功能、心理运动技能和行为/情感/感官领域对设备进行分类,强调了它们在改善持续管理和干预方面的潜力。为了确保严谨性和全面性,本综述采用了基于 PRISMA 的方法。具体来说,在多个数据库中进行了文献检索,重点关注 2014 年至 2024 年期间发表的研究,以确定 ASD 研究中最常用的可穿戴设备。值得注意的是,在分析的 110 个设备中,有 55.45%的设备没有明确的 FDA 状态,23.6%的设备获得了 510(k)许可,只有一小部分被归类为 FDA 突破性设备或处于提交过程中。此外,大约 50%的设备使用了 ECG、EEG、PPG 和 EMG 等传感器,这突出了它们在实时生理监测中的广泛应用。我们的工作全面分析了广泛的可穿戴技术,包括新兴技术和先进技术。虽然这些技术有可能通过实时数据收集和个性化干预来改变 ASD 的管理方式,但需要进行更好的临床验证和以用户为中心的设计,以最大程度地提高其效果和用户接受度。