At the spring 2016 conference, Apple released Apple's open source medical application development framework, the carekit. This is a medical development for the patient side, which is planned to be open source in April, and the development framework for doctors and medical institutions is researchkit.
In fact, the researchkit has received attention after its release on March 9th, and is even considered by some to be a "product that can trigger future changes in the medical community."
Unlike Apple's previous Healthkit, researchkit is more focused on medical research. It provides an app development platform for medical research. Researchers can develop a variety of apps based on their needs to collect health information on all types of cloth more efficiently. On the one hand, it can help the cloth to diagnose diseases more accurately. On the other hand, it can help doctors and scientific researchers to better study the disease. In other words, the researchkit can effectively collect relevant health data of users through various wearable devices, including iPhone and AppleWatch, and share it with the doctor or research institution designated by the user for disease diagnosis and research.
Researchkit can also turn these devices into mobile medical diagnostic research tools.
How popular is researchkit as an open source tool?
As one of the earliest users of researchkit, the Stanford Medical School in California also released a new application based on this architecture, MyheartCounts.
Dr. Michaell McConnell, a professor of cardiovascular medicine at Stanford and the head of the project, said that on the one hand, the app will help scientists collect relevant data on a wider scale, while daily exercise and cardiovascular risk factor data will also be given to participants. Providing important reversal on the other hand, this app also helps users stay on exercise, maintain healthy habits and reduce the risk of heart disease.
Heart disease is one of the most deadly diseases in recent years, and maintaining a healthy lifestyle is the most effective means of reducing the risk of heart disease. MyheartCounts takes advantage of the iPhone's built-in motion sensor to track user movements and collect data from the 6-minute walk test. At the same time, participants need to enter data about their own information and related risk factors for heart disease to get information about their “heart ageâ€. MyheartCounts generates a detailed heart health report for each user based on their personal information and updates it weekly.
Within 24 hours of the researchkit announcement, Stanford received more than 11,000 applications for cardiovascular disease projects. MyheartCounts, with the help of the Internet, completed data from 60 centers around the world that traditionally took two years to collect in just 24 hours. It is really a sigh of the general trend of Internet medical care and mobile medical care .
In addition, it should be noted that the data obtained by MyheartCounts will be used for research purposes only and will not be used for any for-profit use. Now, users can use the iPhone5s, iPhone6, and iPhone6Plus to download apps in the US and actively participate in this research.
In addition to MyheartCounts, the remaining four completed applications include AsthmaHealth, an asthma study involving IcahnSchoolof MedicineineMountSinai, GlucoSuccess, a type 2 diabetes study involving the Massachusetts General Hospital, and the breast cancer study SharetheJourney and ParkinsonmPower, which are involved in SageBionetworks. In addition, researchkit will be used in other disease research, including autism, epilepsy, melanoma and so on.
The advent of researchkit has a very positive significance for the further promotion of Internet medical care and mobile medical care. Although the health data of MyheartCounts participants at this stage will not be shared with the doctors of the patients, but looking forward to the future, after the researchkit project is matured, the designated doctors of the cloth can get the patient's health data directly from the App, which can be more accurate. Diagnose and give timely treatment.
On the other hand, with the help of Internet big data, scientists will also use the researchkit to obtain clinical data more effectively, so as to better carry out research on related diseases. At present, Xuanwu Hospital of Capital Medical University is the only Chinese medical institution to participate in this cooperation. It is not excluded that more Chinese medical research scholars will participate in the future.
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NVR has different product forms. Although its core function is the capture, storage, management and forwarding of network video streams, different companies have different designs to complete these functions and have their own characteristics. There are mainly three types of NVR products.
The first is the PC server based NVR software product (Software Only), that is, the manufacturer provides the NVR software plus license mode, which can be installed on any standard PC or server that meets the requirements.
The second is the NVR overall solution of software and hardware integration provided by the manufacturer, that is, the manufacturer installs the NVR software on its customized PC server, which is the so-called Turnkey Solution product.
The third is embedded NVR products, namely embedded devices based on embedded hardware platforms and operating systems; In addition, there are storage management integrated devices developed by storage device manufacturers, which are not the mainstream NVR form.
In terms of stability, although the reliability of PC based NVR system is not as high as that of embedded NVR system, compared with PC based DVR system, the PC based NVR system has relatively simple functions, fewer failure links and better stability than PC based DVR system.
In terms of scalability, as the PC based NVR system is based on the general PC platform and the general operating system, its hardware interface is universal, open and standardized, which is easy to be compatible with other hardware, and software development is also relatively convenient. However, due to the high hardware integration, single interface, poor compatibility with other hardware, and weak incidental functions of embedded software, the secondary development of embedded NVR is relatively complicated.
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