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Diving into the Client Types in Health Services

in our using health services on galaxy watch article, we introduced you to health services and the series of steps you need to follow in order to start using it within your application. now, we present the different client types provided by health services and their core functionality. exerciseclient in recent years, many applications that use and process health data are focused on workouts due to increasing awareness of the importance of maintaining a healthy lifestyle. some of those applications are more complex than others and have a lot of features, from tracking exercise performance to setting daily, weekly or monthly goals. health services provides a specialized client to facilitate tracking ongoing workouts from a wide range of exercise types, such as running, playing soccer and skiing, among others. checking the capabilities on the device as mentioned in our previous post, you have to ensure at runtime that your configuration is supported. remember, there is nothing more confusing to users than dealing with an application that does not work as expected. the code below describes how to check the capabilities of the device for an exercise type for running: healthservicesclient healthclient = healthservices.getclient(this); exerciseclient exerciseclient = healthclient.getexerciseclient(); listenablefuture<exercisecapabilities> capabilitiesfuture = passiveclient.getcapabilities(); futures.addcallback(capabilitiesfuture, new futurecallback<exercisecapabilities>() { @override public void onsuccess(@nullable exercisecapabilities result) { runningcapabilities = result .supporteddatatypesexcercise() .contains(exercisetype.running) } @override public void onfailure(throwable t) { // display an error } }, contextcompat.getmainexecutor(this)); tracking workouts using exerciseclient after ensuring that the device running your application supports the type of exercise(s) you want to track, you must specify the relevant information, such as exercise type, exercise goal, and additional parameters supported by health services. health services provides an exerciseconfig class to help you to define a configuration for an exercise tracked by your application. with the help of this class, you can define and have access to information related to the exercise such as: exercise type exercise goals data type of the exercise flags to indicate the exercise state once you set up your configuration, you can start your exercise and then listen for its progress using an update listener. the basic setup flow should be something like: set up exerciseconfig call exerciseclient.startexercise set up an update listener listen for progress and update your app finally, health services provides a useful class to set goals and keep track of them. the exercisegoal class allows you to set goals based on certain parameters, so the users of your application can create milestones or one-time goals. an example of a milestone could be a hiking app that sets a goal that is achieved multiple times when the user has covered a distance of 200m. the event is triggered every 200m. in contrast, a one-time goal could be defined as a goal that sets a milestone with a threshold equivalent to the height of mount everest. the ability to work with exercise goals in health services will be described in more detail in a separate post. note: when using exerciseclient, make sure your app requests and maintains the necessary permissions. if your app uses location data, you should consider permissions on the device, like checking that gps is enabled. also, you should ensure that a foregroundservice with the appropriate foregroundservicetype is maintained throughout the workout, as shown in the code below: <!-- add foreground service location permission for exercise tracking --> <service android:name=".exerciseservice" android:foregroundservicetype="location" android:exported="false" /> measureclient using this client is highly recommended if your application requires constant updates. in a real-world scenario, your application should use this client when its ui is in the foreground. as a good practice, your application should minimize the amount of time reading data with this client. registering callbacks to read health data can increase sensor sampling rates, increasing power consumption. use this client carefully, having user experience in mind and taking into account that users want to extend the power of the device as much as possible. checking the capabilities on the device healthservicesclient healthclient = healthservices.getclient(this); listenablefuture<measurecapabilities> capabilitiesfuture = healthclient.getcapabilities(); futures.addcallback(capabilitiesfuture, new futurecallback<capabilities>() { @override public void onsuccess(@nullable capabilities result) { boolean supportsheartrate = result .supporteddatatypesmeasure() .contains(datatype.heart_rate_bpm) } @override public void onfailure(throwable t) { // handle error here. } }, contextcompat.getmainexecutor(this)); passivemonitoringclient this client is suitable for applications that monitor health data in the background. this client makes it easier to keep track of activities during longer periods of time, taking advantage of the fact that it does not require your application to be in the foreground. some examples of activities tracked by this client are step count or floors climbed during the day, week or month. checking the capabilities on the device healthservicesclient healthclient = healthservices.getclient(this); passivemonitoringclient passiveclient = healthclient.getpassivemonitoringclient(); listenablefuture<passivemonitoringcapabilities> capabilitiesfuture = passiveclient.getcapabilities(); futures.addcallback(capabilitiesfuture, new futurecallback<passivemonitoringcapabilities>() { @override public void onsuccess(@nullable passivemonitoringcapabilities result) { supportsheartrate = result .getsupporteddatatypespassivemonitoring() .contains(datatype.heart_rate_bpm) supportsstepsevent = result .supporteddatatypesevents() .contains(datatype.steps) } @override public void onfailure(throwable t) { // display an error } }, contextcompat.getmainexecutor(this)); choosing the right health services client having a clear understanding of every client type and their applications help you to make informed decisions when creating your application. this information helps you avoid unexpected results while interacting with the sensors on the device and it improves the overall user experience of your application. receiving health data updates in the background to receive data updates in the background, your application must have a broadcastreceiver declared in its androidmanifest.xml, as we mentioned in our previous post. the updates from health services regarding passive data is delivered to this receiver. so far, we have presented the key features for every client. you can make a more informed and confident decision of how to make the most of health services within your application. we encourage you to check health services to take advantage of all of these features.

https://developer.samsung.com/health/blog/en-us/2022/01/18/diving-into-the-client-types-in-health-services

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Health | Publications

publications mouth breathing detection using audio captured through earbuds author | tousif ahmed,mahbubur rahman,ebrahim nematihosseinabadi,jilong kuang,alex gao published | international conference on acoustics, speech, and signal processing icassp date | 2023 06 25 view more breathie estimating breathing inhale exhale ratio using motion sensor data from commodity earbuds author | nafiul rashid,mahbubur rahman,tousif ahmed,jilong kuang,alex gao published | international conference on acoustics, speech, and signal processing icassp date | 2023 06 05 view more improving heart rate and heart rate variability estimation from video through a hr-rr-tuned filter author | retiree,li zhu,korosh vatanparvar,jilong kuang,alex gao published | international conference on acoustics, speech, and signal processing icassp date | 2023 06 04 view more breathing rate tracking using earbuds in uncontrolled environments author | tousif ahmed,mahbubur rahman,mohsin ahmed,ebrahim nematihosseinabadi,jilong kuang,alex gao published | international conference on human factors in computing systems chi date | 2023 04 21 view more next-generation smart watches to estimate whole-body composition using bioimpedance analysis accuracy and precision in a diverse, multiethnic sample author | jonathan p bennett, yong en liu, nisa n kelly, brandon k quon, michael c wong,cassidy mccarthy, steven b heymsfield, john a shepherd published | elsevier, the american journal of clinical nutrition date | 2022 07 26 view more performance evaluation of a wrist-worn reflectance pulse oximeter during sleep author | hyunjun jung, dongyeop kim, wonkyu lee, hyejung seo, jinwoo seo, jongmin choi, eun yeon joo published | elsevier, sleep health date | 2022 07 09 view more atrial fibrillation detection and atrial fibrillation burden estimation via wearables author | li zhu,viswam nathan,jilong kuang,jacob kim,alex gao published | ieee journal of biomedical and health informat date | 2022 05 01 view more validation of blood pressure measurement using a smartwatch in patients with parkinson’s disease author | jong hyeon ahn, joomee song, inyoung choi, jinyoung youn, jin whan cho published | front neurol date | 2021 06 29 view more a comprehensive approach for classification of the cough type* author | ebrahim nemati, md mahbubur rahman, viswam nathan, korosh vatanparvar, jilong kuang published | ieee engineering in medicine & biology society embc date | 2020 07 22 view more deep learning based quantification of ovary and follicles using 3d transvaginal ultrasound in assisted reproduction author | praful mathur, karan kakwani, diplav, srinivas rao kudavelly, ramaraju ga published | ieee engineering in medicine & biology society embc date | 2020 07 20 view more coughgan generating synthetic coughs that improve respiratory disease classification author | vishwajith ramesh, korosh vatanparvar, ebrahim nemati, viswam nathan, md mahbubur rahman, jilong kuang published | ieee engineering in medicine & biology society embc date | 2020 07 20 view more adapting to noise in speech obfuscation by audio profiling using generative models for passive health monitoring author | korosh vatanparvar, viswam nathan, ebrahim nemati, md mahbubur rahman, jilong kuang published | ieee engineering in medicine & biology society embc date | 2020 07 20 view more coughmatch – subject verification using cough for personal passive health monitoring author | korosh vatanparvar, ebrahim nemati, viswam nathan, md mahbubur rahman, jilong kuang published | ieee engineering in medicine & biology society embc date | 2020 07 20 view more smart alarm based on sleep stages prediction author | kostyantyn slyusarenko, illia fedorin published | ieee engineering in medicine & biology society embc date | 2020 05 24 view more a generative model for speech segmentation and obfuscation for remote health monitoring author | korosh vatanparvar, viswam nathan, ebrahim nemati, md mahbubur rahman, jilong kuang published | ieee-embs international conference on biomedical and health informatics bhi and the body sensor networks bsn conferences date | 2019 05 21 view more assessment of chronic pulmonary disease patients using biomarkers from natural speech recorded by mobile devices author | viswam nathan, korosh vatanparvar, md mahbubur rahman, ebrahim nemati, jilong kuang published | ieee-embs international conference on biomedical and health informatics bhi and the body sensor networks bsn conferences date | 2019 05 20 view more mlung privacy-preserving naturally windowed lung aclvity deteclon for pulmonary palents author | mohsin y ahmed, md mahbubur rahman, viswam nathan, ebrahim nemati, korosh vatanparvar, jilong kuang published | ieee-embs international conference on biomedical and health informatics bhi and the body sensor networks bsn conferences date | 2019 05 20 view more

https://developer.samsung.com/health/publications.html

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SDC23 | Expand Your Health Experience with Samsung Health

expand your health experience with samsung health making healthy habits easier with samsung health and new galaxy watch. samsung health can help you develop healthy habits by providing insights on what you’re doing well and what needs improvement, based on measurement data.to stay fit through efficient exercise, you can measure your body composition. you can also check out your sleep symbol and get a key chain! back to list

https://developer.samsung.com/conference/sdc23/tech-square/expand-your-health-experience-with-samsung-health

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Health Connect FAQ

health connect faq to access samsung health data can i access samsung health data with health connect? yes samsung health synchronizes data with health connect since version 6 22 5 october 2022 and later to read samsung health data or insert your application data to samsung health through health connect apis, data permission must be granted for health connect health data from the galaxy watch is transferred to the samsung health application on the user’s smartphone and synchronized to health connect for more information, see accessing samsung health data through health connect which devices does health connect support? the health connect application can be installed on android mobile devices it does not support wear os devices which data types are synchronized between samsung health and health connect? activity data, such as steps and exercise, heart rate, and sleep, are synchronized between samsung health and health connect for more information, see accessing samsung health data through health connect can health connect read data from a galaxy watch? yes, indirectly health data on the galaxy watch is sent to the samsung health application on the user’s smartphone and can be synchronized to health connect for battery life reasons, the timing and frequency of data synchronization between the galaxy watch and samsung health follows its own policy on the smartphone, if samsung health and health connect have been linked for data synchronization, samsung health inserts or updates its data to health connect as soon as data is created or changed for more information, see the accessing samsung health data through health connect blog post i cannot see samsung health data in health connect what should i do? to make sure that data synchronization between samsung health and health connect is working correctly in google play, check that the latest samsung health and health connect application versions are installed if you want to access galaxy watch data, check the samsung health application version on the watch too enable data permissions in the samsung health application in samsung health, go to ”settings > health connect > app permissions > samsung health” noteyou must enable the permissions through samsung health > settings > health connect, not through the phone settings > apps > health connect in samsung health, go to “settings > sync with samsung account” and tap “sync now”

https://developer.samsung.com/health/health-connect-faq.html

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Samsung Health Data SDK

samsung health data sdk samsung health data sdk delivers health data at the end-user level. samsung health data sdk capabilities samsung health data sdk gives partners access to user health data that may otherwise be hard to access and/or deliver. this includes data across the samsung health product family, including smartphone app, galaxy watch, galaxy ring, and other health accessories. view documentation request partnership samsung health data sdk benefits access health data: samsung health safely stores a user’s health data from across their devices and smartphone app. partners can access this data to innovate products and services and make a positive impact on the user health journey. user friendly apis: samsung health data sdk provides easy to use apis with the capability to filter, aggregate and read associated data together. data privacy: samsung health protects user privacy by storying data with proprietary encryption and user consent. enabling a strong ecosystem of health and fitness services samsung health is a robust health and wellness platform that enables accessible, holistic health and wellness support at each stage of our health journey. technical support submit ticket contact technical support for questions you have regarding the samsung health sdk suite. samsung account sign-in is required.

https://developer.samsung.com/health/data

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Health | Samsung Developers

samsung health sdk suite develop powerful health and wellness applications for galaxy watch and smartphone. accelerate innovation in health and wellness with samsung health sdks samsung's health sdks enable a broad ecosystem of partners to accelerate innovation and solution development. as galaxy watch sensors and capabilities improve, you can read, with user consent, and integrate health data from galaxy watch and smartphones into your existing applications and platforms, as well as create innovative and powerful new products that enhance users' well-being through health insights. accessible actionable heath data samsung health is a comprehensive health platform that helps people track their health journey, set goals, and achieve positive outcomes. it connects smartphones and wearables, like the galaxy watch and galaxy ring, providing seamless health experiences integrated into daily life. the platform offers access to raw and processed health data through its sdk, enabling partners to monitor users' health status and offer personalized health services. learn more request partnership develop health & fitness apps samsung health sensor sdk is a software platform that enables the medical community and digital health solution providers to harness the power of galaxy watch’s advanced sensors; providing both raw sensor signal data and processed data with our differentiated features. learn more request partnership connect bluetooth compatible devices samsung health accessory sdk defines bluetooth low energy (ble) compatibility guidelines and samsung health specifications based on bluetooth generic attributes (gatt), including service structure to connect with samsung health. learn more medical and clinical research studies samsung health research stack is backed by open-source tools, applications, and services for running, managing, and analyzing medical research studies and clinician services on android and wear os devices. learn more learn how to use the samsung health sdk suite use samsung health sdk suite to implement useful features with our sample apps on code lab. go to code lab get technical support contact technical support for questions you have regarding the samsung health sdk suite. samsung account sign-in is required. go to technical support publications read our latest articles on samsung r&d health discover samsung digital healthcare technology solutions, including hospital technology, healthcare data security for mobile devices, and more. go to publications news and blogs events health, mobile, galaxy watch key moments from the samsung health partner day 2024 on may 28th, 2024, market leaders from digital healthcare gathered for the samsung health partner day, held at gravity seoul pangyo, autograph collection. tutorials health accessing samsung health data through health connect health connect is a platform that enables you to integrate samsung health data with your applications, creating new opportunities for health applications that enhance the user's journey towards better health. tutorials galaxy watch connect galaxy watch to android studio over wi-fi for wearable apps, you can run your apps from android studio and test directly on a physical watch, such as the galaxy watch4 or later. looking to connect with other developers? meet other developers, ask questions, and find the answers you are looking for. go to developer forum

https://developer.samsung.com/health/

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Health Data Store

health data store the sdk provides the health data store to access the health data with a user’s consent the data in the health data store can be shared with other partner apps also preparing data access an application needs to connect the health data store, and acquire data permission to access the data in the health data store the following figure shows a basic flow for working with samsung health in case of connection failure, all exceptions should be handled clearly with a proper message to the user it helps to prevent unexpected operations on your application for detailed code, see app manifest health data connection snippet acquiring data permission snippet health data query healthdataresolver helps to access the data with apis of the following figure all queries except inserting data can be requested through a filter to set the target range for a query a data query is sent asynchronously or synchronously asynchronous query is used usually and you can select one of the methods for your need see the following examples for more information asynchronous data query synchronous data query the query result is retrieved as the following table request result insert update delete baseresult read readresult aggregate aggregateresult see data query snippets in api reference filter healthdataresolver filter is very useful to clear the data range for reading, updating, and aggregating health data multiple filters can be combined with and or see more descriptions in api reference data normalization the health data is stored based on the normalized unit as defined in international system of unit si in the following table item unit height cm weight kg temperature celsius blood glucose mmol/l blood pressure mmhg hba1c % spo2 % calorie kcal speed m/s distance meter time millisecond water intake ml caffeine intake mg data normalization enables your application to read health data without the specific unit it means that you should be careful to unify the data units when inserting health data to the health data store healthdataunit helps to convert data value between different units converting unit

https://developer.samsung.com/health/android/data/guide/health-data-store.html

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Samsung Health Accessory SDK

samsung health accessory sdk samsung health accessory sdk includes bluetooth low energy (ble) compatible guidelines and samsung health specifications based on bluetooth generic attributes (gatt), including service structure, to connect with samsung health. what can be done with samsung health accessory sdk? connect various ble compatible health devices to samsung health, enabling data synchronization and expansion into upcoming supported services, offering a straightforward guide for device integration. view documentation connect compatible health devices samsung health provides users with the ability to connect to a wide range of ble devices, including those capable of syncing data like blood glucose, blood pressure, heart rate, and weight, with prospective expansion to devices such as pedometers, exercise sensors, and sleep monitors, all to offer users comprehensive health data management. featured partners technical support submit ticket contact technical support for questions you have regarding the samsung health sdk suite. samsung account sign-in is required.

https://developer.samsung.com/health/accessory

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Samsung Health Sensor SDK

samsung health sensor sdk samsung health sensor sdk covers device-specific sensor data and enables partners to develop powerful health-sensing capabilities in their applications. the power of samsung health sensor sdk the sdk supports an improved health tracking capability that allows your applications to track the user’s health data with the accelerometer, raw ecg (electrocardiogram), ppg (photoplethysmogram), heart rate, including inter-beat interval, body composition, and skin temperature. view documentation request to become a partner are you building a wear os app and would like to integrate galaxy watch advanced sensors? request partnership get deeper health insights to open new possibilities the possible applications of the health data by samsung health sensor sdk are numerous, ranging from remote patient monitoring to digital therapeutics. in particular, the raw sensor signals and processed data can lead to the discovery of new digital biomarkers for detecting signs of certain health conditions. in a specific example, a partner app on galaxy watch can notify a user if it detects gait pattern anomalies while the user is walking, leading to an early prognosis of a health condition. featured partners frequently asked questions go to faq find the most frequently asked questions about samsung health sensor sdk. technical support submit ticket contact technical support for questions you have regarding the samsung health sdk suite. samsung account sign-in is required.

https://developer.samsung.com/health/sensor

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Health Data Type

health data type the sdk provides useful predefined and custom data types the supported data types are activity daily step count trend step count exercise floorsclimbed rest sleep sleepstage food nutrition caffeine intake water intake health care body temperature blood glucose blood pressure heart rate oxygen saturation hba1c height weight see api reference for more data types health document healthdocument environment info ambient temperature and humidity uv exposure user profile user profile read-only all data types have the following mandatory properties in the following table each data type’s detailed properties are written in the api reference property description uuid id of health data assigned by the system when new data is created in samsung health created_time utc time when data is created assigned by the system when new data is created in samsung health updated_time utc time when data is updated assigned by the system when new data is created in samsung health package_name application package name which provides data assigned by the system when new data is created in samsung health device_uuid device id which provides health data

https://developer.samsung.com/health/android/data/guide/health-data-type.html

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