Empatica has announced plans to launch a first-of-its-kind study aimed at developing a seizure forecasting algorithm for people living with epilepsy, based on real-world data collected using its technology.

Empatica宣布计划启动第一项同类研究，旨在根据使用其技术收集的真实数据，为癫痫患者开发癫痫发作预测算法。

More than 3 million Americans suffer from epilepsy, according to Centers for Disease Control statistics. And roughly one-third of people with epilepsy have refractory epilepsy, which occurs when medications no longer control seizures.1 Epileptic seizures are disruptive health events that can have a significant negative impact on quality of life and increase risk of injury and death for people with epilepsy.

据美国疾病控制中心统计，300多万美国人患有癫痫病。大约三分之一的癫痫患者患有难治性癫痫，当药物不再控制癫痫发作时就会发生。癫痫发作是破坏性的健康事件，可能对生活质量产生重大负面影响，并增加癫痫患者的受伤和死亡风险。

This study is designed to identify individualized periods of seizure risk for patients with epilepsy, using biomarker viability and patterns in patient lifestyle data as inputs to a forecasting algorithm. .

这项研究旨在使用患者生活方式数据中的生物标志物活力和模式作为预测算法的输入，确定癫痫患者癫痫发作风险的个体化时期。。。

“Seizure forecasting has long been among the most-requested features for people with epilepsy. We are excited to announce our plans to begin a large clinical study aimed at using wearable technology to enable reliable seizure forecasting,” Empatica Co-Founder/Chief Scientist Dr. Rosalind Picard said.

Empatica联合创始人/首席科学家Rosalind Picard博士说：“癫痫发作预测一直是癫痫患者最需要的功能之一。我们很高兴宣布计划开始一项大型临床研究，旨在使用可穿戴技术实现可靠的癫痫发作预测。”。

“Patients with epilepsy understand the toll that uncertainty around seizures takes and we hope that this study will help give them better control over their life, reducing stress and perhaps also enabling early interventions that ultimately reduce or prevent seizures from happening.” .

“癫痫患者了解癫痫发作的不确定性所带来的损失，我们希望这项研究将有助于他们更好地控制自己的生活，减轻压力，也许还可以进行早期干预，最终减少或防止癫痫发作的发生。”。。

This study builds on Empatica’s proven experience in monitoring neurological conditions like epilepsy. Empatica’s Embrace smartwatch is the first and only U.s. Food and Drug Administration (FDA)-cleared wearable technology for detecting possible convulsive seizures, and one of the first AI-enabled medical products cleared by the FDA.

这项研究基于Empatica在监测癫痫等神经系统疾病方面的成熟经验。Empatica的拥抱智能手表是美国食品和药物管理局（FDA）批准的第一款也是唯一一款用于检测可能的惊厥性癫痫发作的可穿戴技术，也是FDA批准的首批人工智能医疗产品之一。

Empatica’s wearables have also been previously used to successfully collect data shown to forecast seizures in a peer-reviewed study by the Mayo Clinic, King’s College and University of Melbourne, funded by the Epilepsy Foundation through the Seizure Gauge initiative.2 Through the upcoming study, Empatica plans to use its expertise in AI and machine learning, as well as its access to the largest real-world dataset of convulsive seizures, for the development of the seizure forecasting algorithm. .

Empatica的可穿戴设备之前也曾被用于成功收集梅奥诊所、国王学院和墨尔本大学的同行评审研究中显示的预测癫痫发作的数据，该研究由癫痫基金会通过癫痫发作量表计划资助。2通过即将进行的研究，Empatica计划利用其在人工智能和机器学习方面的专业知识，以及访问惊厥性癫痫发作的最大真实数据集，以开发癫痫发作预测算法。。。

This study also furthers Empatica’s work in developing AI-powered predictive algorithms. In 2021, the company developed an AI-based predictive algorithm that was CE-marked for medical use in the EU, focused on providing a warning when early signs of respiratory infections, including Covid-19, are detected. .

这项研究还进一步推动了Empatica在开发AI驱动的预测算法方面的工作。2021年，该公司开发了一种基于人工智能的预测算法，该算法在欧盟被CE标记为医疗用途，重点是在检测到包括新型冠状病毒在内的呼吸道感染早期迹象时提供警告。。。

Study recruitment is expected to begin shortly.

预计不久将开始招募研究人员。

Empatica Inc is a pioneer in continuous, unobtrusive remote health monitoring driven by AI. Empatica's platform and technology are used by thousands of institutional partners for research purposes, in studies examining stress, sleep, epilepsy, migraine, depression, addiction, and other conditions. Its flagship medical wearable, EmbracePlus, has been developed with key partners including HHS, USAMRDC, and the NASA-funded TRISH. .

Empatica Inc是人工智能驱动的连续、不引人注目的远程健康监测领域的先驱。Empatica的平台和技术被数千个机构合作伙伴用于研究目的，用于研究压力、睡眠、癫痫、偏头痛、抑郁症、成瘾和其他疾病。其旗舰医用可穿戴设备EmbracePlus已与HHS、USAMRDC和NASA资助的TRISH等关键合作伙伴共同开发。。

References

参考文献

1 https://www.cdc.gov/epilepsy/data/index.html

1.https://www.cdc.gov/epilepsy/data/index.html

2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578354/

2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578354/