创新背景

精准的可穿戴设备可以实时监测身体状况，老年人身体机能不断下降，容易跌倒，精准监测身体状况以及实时解决突发跌倒问题需求亟待解决。

创新过程

飞利浦医疗作为北美领先的医疗警报系统设备供应商，致力于关切高龄群体独立生活问题，提高大数据算法积累和校正，精准提供智能终端硬件＋24小时警报应答\转报医疗机构服务，推出AutoAlert跌倒检测技术，并完成HomeSafe with AutoAlert产品研发。

当意外发生时，AutoAlert跌倒检测技术利用大数据和智能感应技术可帮助设备自动识别出跌倒情况，并将信号发送至服务机构。训练有素的操作员利用大数据进行24小时全天守护，并在接收到求助信号的第一时间，通过控制台——用户家中的设备与求助者进行问询与交谈，提供专业的急救指导，并确保得到照顾；同时帮助联系家人、朋友或邻居，如有必要，还会联系当地的 911 紧急服务。

大数据精准创新使用提高可穿戴设备老年人使用性能，并帮助用户建立个人档案，还可以在医疗呼救事件发生帮助联系医疗机构时，发送实时身体健康指标、过往病史、地理位置等相关信息。

创新关键点

运用大数据技术提高算法精准度，大数据科学技术和智能科学交互运用，使跌倒检测功能便于老年人使用。

Big data algorithm correction accumulation to meet the needs of wearable devices for the elderly

As a leading provider of medical alarm system equipment in North America, Philips is committed to caring about the independent living problems of the elderly, improving the accumulation and correction of big data algorithms, accurately providing intelligent terminal hardware + 24-hour alarm response  forwarding medical institution services, launching AutoAlert fall detection technology, and completing the homeSafe with AutoAlert product research and development.
When an accident occurs, AutoAlert fall detection technology helps the device automatically identify the fall and send a signal to the service organization. Trained operators use big data to guard 24 hours a day, 7 days a week, and at the first time they receive a help signal, they can inquire and talk to the person asking for help through the user's home device, provide professional first aid guidance, and ensure that they are cared for, as well as help contact family, friends or neighbors and, if necessary, local 911 emergency services.
The precise and innovative use of big data improves the performance of wearable devices for the elderly, and helps users establish personal files, and can also send real-time physical health indicators, past medical history, geographical location and other relevant information when medical calls occur to help contact medical institutions.