Commercial Wearable Technologies in Enhancing Sleep Quality

本研究旨在为开发一种新型的商业睡眠穿戴设备做出贡献。目前的初步目标是：1)进行研究，定量评估设备准确分类睡眠的能力。2)定性地探索该设备如何能够通过改变行为来促进普通人群的健康睡眠。这项研究是与LV合作进行的，LV是该项目的共同资金来源。一旦得到更多细节，将制定与公司商业目标背道而驰的进一步目标。英国的研究表明，在成年人口中，边缘穷人(31.6%)和睡困者(27.6%)的比例很大。NHS数字统计数据还显示，这一现象也延伸到了年轻人群中，在17-23岁的受访者中，有57.1%的人报告说，一周中有三个或更多的晚上存在睡眠问题。睡眠不佳(太少或太多)与一系列非传染性疾病有不利关系，如心血管疾病、中风和II型糖尿病。在日常情况下，睡眠不佳会影响认知能力，增加职业伤害的可能性，降低生产率。无处不在的计算可以支持普通民众实现健康的睡眠行为。低成本和准确的传感器可以建立用户对睡眠习惯的意识。尽管被广泛采用，但商用传感器在实现行为改变方面一直受到限制，往往无法利用设备允许的更高的意识，并将其引导到有效的睡眠干预中。与其他自我引导的数字干预措施一样，包括那些针对睡眠的干预措施，消耗率(使用中的下降)也被强调为商业睡眠跟踪器的一个限制。

This research aims to contribute to the development of a novel commercial sleep wearable. The preliminary objectives are currently: 1) Perform research that quantitatively assesses the device's ability to accurately classify sleep. 2) Qualitatively explore how the device may be able to promote healthy sleep in the general population through behaviour change. This research is taken in partnership with LV, who co-fund this project. Further aims that deviate from the commercial aim of the company will be developed once more details arrive. UK studies have shown a large proportion of borderline-poor (31.6%) and poor sleepers (27.6%) in the adult population. NHS Digital statistics also show that this extends into the young population, with 57.1% of 17-23-year-old respondents reporting problems with sleep on 3 or more nights in the week. Poor sleep (too little or too much) is adversely associated with a range of non-communicable diseases, such as cardiovascular disease, stroke, and type II diabetes. In day-to-day circumstances, poor sleep affects cognitive performance, increasing the likelihood of occupational injury and decreasing productivity. Ubiquitous computing can support the general population in achieving healthy sleep behaviour. Low-cost and accurate sensors can build user awareness of sleep habits. Although widely adopted, commercial sensors have been limited in achieving behaviour change, often failing to utilise the increased awareness the devices permit and channel this into an effective sleep intervention. As with other self-guided digital interventions, including those aimed at sleep, attrition (drop-off in use) has also been highlighted as a limitation of commercial sleep trackers.