Sleep Tracking IoT Platform
DataArt published a new case study about scaling horizontally a healthcare sleep tracking IoT solution and reducing OpEx. Please read the detailed information here.
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Care Companion
For patients, keeping up with a special treatment plan and being educated about their illness is of vital importance. A new generation of applications encourages patients to take charge of their own health.
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KidPRO App — Improving Adherence in Clinical Trials
At DataArt our broad healthcare and life sciences experience coupled with our deep technology expertise allow us to clearly see the gaps in the healthcare technology field. For instance, there are many electronic patient recorded outcome systems (ePRO), and patient diaries used for chronic care management and clinical trials, but none of them has a patient interface engaging enough for adult patients, let alone children.
By combining our vast expertise in user experience design, mHealth, and gamification, we have created a concept product that covers the current gap in pediatric mHealth solutions. Unlike existing products, DataArt’s concept application KidPRO uses these aspects to motivate young patients and turns managing their own healthcare or participating in a clinical trial into a fun and rewarding process.
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Pills Adjutant — medication adherence tool for iOS and Android
The DataArt Orange team published a new project — Pills Adjutant.
Staying on track with a treatment plan relies a lot on self-management. However, those who have to take medicine often find it difficult to recollect taking a dose at the right time, or even at all.
With Pills Adjutant, medication adherence tool for iOS and Android, there is no need to remember. It helps you keep up with your medication schedule utilizing modern wearable devices, such as Apple Watch or similar for Android.
See the full description and the screenshots on the project's page. The demo can be provided on request.
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New R&D Projects on DataArt Orange
The DataArt R&D initiative Orange publishes new projects on their site. DataArt's expertise covers such fields as Human-Computer Interaction, IoT, Wearables and others. The full list can be found here.
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DataArt on the Leading Edge of Food Recognition
The DataArt Orange initiative spent lots of development efforts for its food recognition R&D project. And finally it feels that the market is ready for the technology.
Last week Google announced at the Rework Deep Learning Summit an artificial intelligence project to calculate the calories in pictures of food you have taken.
According to The Guardian, “the prospective tool called Im2Calories, aims to identify food snapped and work out the calorie content”.
There is not much information about the project and what algorithms are available at the moment, but what is available indicates that Im2Calories will utilize a similar approach used by DataArt’s Computer Vision Competence Centre researchers in their Eat’n’Click project.
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Smart watch will win the market, and here’s why
The launch of Apple Watch has meant that wearable technologies – and smart watches in particular – are getting a lot of attention. Just think about this; according to Juniper research, over 70M fitness wearable devices are expected to be in use worldwide by 2018, up from 19M in 2014. On top of that, Business Insider estimates that the smart watch will be the leading product category on the wearable market and will account for 59% of total wearable device shipments this year, expanding to just over 70% of shipments by 2019.
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ResearchKit for Developers
The heading on Apple’s ResearchKit page says, ‘Nothing is more important than our health’. With that motto in mind, a new framework was created. The iPhone has now got a new feature, it can be used as a medical research device to help doctors and patients.
The ResearchKit framework will be officially available in April and Apple has already published 5 applications (for the U.S. only) supporting it.
- Asthma Health by Mount Sinai. By Icahn School of Medicine at Mount Sinai;
- Parkinson mPower study app. By Sage Bionetworks, a Not-For-Profit Research Organization;
- GlucoSuccess. By The Massachusetts General Hospital;
- Share the Journey. By Sage Bionetworks, a Not-For-Profit Research Organization;
- MyHeart Counts. By Stanford University.
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DataArt Orange to integrate its food recognition engine with Apple HealthKit and Voice Recognition
Eat’n’Click is an application developed by DataArt that helps people track the nutritional content of foods they consume. The app automatically tracks calorie information by scanning photographs of food.
Its prototype is available on the App Store and can recognize a number of fruits with more than an 85% success rate. Recently the application was demonstrated by the DataArt team during the Health 2.0 Europe 2014 event in London and was highly appreciated by its participants.
Following industry trends and the high attention Apple HealthKit is receiving, DataArt’s Research Lab decided to move forward by automating the tracking of users’ nutrition habits. DataArt is planning to build a PoC prototype to integrate with Apple HealthKit. Also, we plan to implement a voice recognition engine with it. The aim of DataArt’s Orange R&D initiative is to reduce the gap between humanity and computers. And we strongly believe that this step will be highly effective.
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DataArt ORANGE at Health 2.0 Europe 2014
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How To: Integrate Your Heart Rate App with HealthKit API
At the Apple Worldwide Developer Conference earlier this month Apple introduced an app simply called “Health”that promises to become an all-embracing hub for healthcare and fitness applications and wearable devices. It will allow you to store all of your health data and vital signs in one place including your heart rate, blood pressure, blood sugar, sleep patterns, consumed and burnt calories and more. It will also give you control over all of your health apps through one interface.
The news inspired our team to integrate our health apps with the HealthKit API to help bring the world one step closer to integrated health data. We started with our Heartbeat Rate application that processes the video stream from your iPhone/ iPod camera to measure heart rate. It analyzes the bluecomponent in the video stream providing reliable results, thus no physical contact is required. (Read more about Heartbeat Rate application.)
Here is the recap of how our Heartbeat rate app was integrated with HealthKit API.
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DataArt Orange integrates with Apple HealthKit
Apple HealthKit announcement two days ago was exciting news for all mHealth community and millions of fitness apps users throughout the world.
DataArt R&D team recognizes the potential of iOS 8 and all fitness data integration. We already started looking into HealthKit API to integrate our R&D projects with the new hub and ultimately to help establish wearable technology interoperability and health and fitness data interchange.
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