Heart Rate Characterization as an Initial Sleep Apnea Screening Tool

心率表征作为睡眠呼吸暂停的初始筛查工具

• 批准号: 10042928
• 金额: $ 6.27万
• 依托单位: BRAINSTEM DIGITAL HEALTH LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10042928
• 关键词: Heart; Rate; Characterization; Initial; Sleep

Sleep apnea affects between 10-25% of the global adult population and leads to serious ailments such as hypertension, Type II diabetes, and cardiovascular disease. Approximately eight million people in the UK suffer from the condition and this number is growing rapidly. During sleep, cyclic periods in which breathing stops completely followed by a sudden arousal produces a well-defined pattern of alternating low and high heart rates. These episodes of breath cessation during sleep occur less frequently in minor cases of sleep apnea and occur more frequently in severe cases of sleep apnea. In order to diagnose the presence of sleep apnea and quantify the severity, patients must be referred for an overnight study to a sleep lab in a hospital or clinic. Sleep lab testing is inconvenient for the patient and costly for the health-care system and sleep study results require a timely review by a well-trained physician. Furthermore, the sleep study method of sleep apnea detection used currently makes it nearly impossible to track long-term changes in apnea episode count.A new system needs to be developed that can enable ongoing sleep apnea episode tracking to either screen for increasing episode count in individuals at higher risk for developing sleep apnea or to be used as a biomarker that can be used to optimize treatment regimes in those patients that already have a sleep apnea diagnosis. Most people with sleep apnea are unaware that they suffer from the disorder. Providing the general public with an affordable and practical method for sleep apnea screening could potentially be a game-changer in the strive towards a more preventative approach to healthcare.Our goal at Brainstem Digital Health is to develop a wristband wearable device combined with a smartphone application for the remote frequent screening of sleep apnea-related cyclic heart rate patterns. The device will possess high quality medical grade optical sensors for the detection of the pulse wave while the app will provide the user with visual representation of the recent recording as well as long-term data trends. Information regarding total time spent in cyclic heart rate pattern, total number of episodes, and number of episodes per hour will be presented to the user. A sleep hypnogram will also be presented that will demonstrate the association of the apnea-related cyclic heart rate episodes with deep and REM sleep stages.

睡眠呼吸暂停影响全球成年人口的10%-25%，并导致高血压、II型糖尿病和心血管疾病等严重疾病。在英国，大约有800万人患有这种疾病，而且这个数字还在迅速增长。在睡眠中，呼吸完全停止后突然苏醒的循环周期会产生一种明确的低心率和高心率交替模式。睡眠中呼吸停止的发作在睡眠呼吸暂停的轻微病例中发生的频率较低，而在睡眠呼吸暂停的严重病例中发生的频率较高。为了诊断睡眠呼吸暂停的存在并量化其严重程度，必须将患者转介到医院或诊所的睡眠实验室进行通宵研究。睡眠实验室测试对患者来说不方便，对医疗保健系统来说也很昂贵，睡眠研究结果需要训练有素的医生及时审查。此外，目前使用的睡眠呼吸暂停检测的睡眠研究方法使得跟踪呼吸暂停发作次数的长期变化几乎是不可能的。需要开发一种新的系统，能够使正在进行的睡眠呼吸暂停发作跟踪到屏幕上，以增加发生睡眠呼吸暂停的高危个体的发作次数，或者被用作生物标记物，可以用于优化那些已经诊断出睡眠呼吸暂停的患者的治疗方案。大多数患有睡眠呼吸暂停的人没有意识到他们患有这种疾病。为普通公众提供一种负担得起且实用的睡眠呼吸暂停筛查方法，可能会在努力实现更具预防性的医疗保健的过程中改变游戏规则。我们在脑干数字健康的目标是开发一种腕带可穿戴设备，并结合智能手机应用程序，用于远程频繁筛查与睡眠呼吸暂停相关的周期性心率模式。该设备将拥有高质量的医用级光学传感器来检测脉搏波，而APP将为用户提供最近记录的可视表示以及长期数据趋势。将向用户呈现关于在循环心率模式中花费的总时间、发作总数和每小时发作数的信息。还将提供睡眠催眠图，以显示与呼吸暂停相关的周期性心率发作与深度睡眠和快速眼动睡眠阶段的关联。