Mediloop
WEARABLES & IOT CONNECTORS

Device Types & Capabilities

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Explore wearable, medical-device and IoT categories, the data they provide, and how Mediloop maps device capabilities to interoperable healthcare models while keeping clinical and consumer contexts distinct.

Device CatalogCapability ModelClinical vs ConsumerFHIR MappingManufacturer ExamplesData Quality & Validation
14+
Device categories
From wellness to medical-grade workflows
200+
Normalized measurements
Mapped to standard concepts and units where appropriate
50+
Manufacturer patterns
Expandable through standards and provider adapters
2
Data contexts
Clinical/medical-device data and consumer wellness data
Device Category Overview
Smartwatches

Heart rate, activity, sleep, ECG

Fitness Bands

Activity, calories and sleep

Smart Rings

Sleep, HRV and temperature

Continuous Glucose Monitors

Glucose, trends and alerts

Blood Pressure Monitors

Systolic/diastolic and pulse

Pulse Oximeters

SpO₂ and heart rate

ECG Devices

Single/12-lead ECG and rhythm

Smart Scales

Weight, BMI and body composition

Thermometers

Body temperature

Spirometers

FEV1, FVC and respiratory measures

Sleep Devices

Sleep stages and respiration

Rehabilitation Sensors

Movement and range of motion

Connected Medication Devices

Inhalers, smart pillboxes and adherence events

Environmental Sensors

Air quality, temperature and humidity

Other IoT Devices

Home monitoring, fall detection and custom sensors

Device Catalog (Examples)
Device / providerCategoryMeasurementsConnectionContextStandards mapping
Apple WatchSmartwatchHR, ECG, SpO₂, activity, sleepBLE / HealthKitWellness + selected regulated featuresFHIR, LOINC, SNOMED CT as applicable
Garmin devicesFitness / multisportHR, activity, VO₂ max, sleepBLE / provider cloudPrimarily wellnessFHIR, LOINC
Oura RingSmart ringSleep, HRV, temperature, readinessBLE / provider cloudWellnessFHIR, LOINC
Dexcom CGMCGMGlucose, trends, alertsBLE / provider cloudClinical / medical deviceFHIR, LOINC, UCUM
Withings BPMBlood pressureSystolic, diastolic, pulseBLE / cloud / platform APIClinical-device context may applyFHIR, LOINC, UCUM
AliveCor KardiaECGECG waveform / rhythmDevice/app/provider integrationClinical / medical deviceFHIR Observation + attachment/waveform model
The catalog is an integration-pattern guide, not a promise that every named commercial device is production-certified. Provider access, regional availability and regulated-use status must be verified during onboarding.
Capability Model
Identity & ownership

Stable device identity, provider identifiers, model, serial and patient/device association.

Measurements

Supported metrics, sampling frequency, precision, units and source timestamps.

Connectivity

BLE/GATT, platform framework, cloud API, webhook, MQTT or gateway capability.

Operational state

Battery/connectivity status, firmware/version metadata and last sync when available.

Trust & context

Clinical vs wellness context, regulatory metadata, consent and confidence/quality flags.

Lifecycle

Onboard, activate, update, disconnect, replace and decommission.

Clinical vs Consumer Data
AspectConsumer wellness dataClinical / medical-device data
Intended useWellness, prevention, lifestyleDiagnosis, treatment, monitoring or regulated clinical use
ValidationInformational / provider-defined qualityRequires clinically appropriate validation and regulatory context
ConsentExplicit user authorization to applicable data/providerExplicit consent/legal basis plus clinical governance
ProvenancePreserve device/provider/sourcePreserve device/provider/source plus clinically relevant traceability
Decision supportDo not treat as clinically equivalent by defaultMay support clinical decisions only within validated intended use
Data Mapping (FHIR)
Device capabilityFHIR resourceTerminology / unit guidance
Device identityDeviceType/model/manufacturer identifiers; preserve source identifiers
Metric definitionDeviceMetricUse when device metric metadata is represented explicitly
MeasurementObservationLOINC where available; UCUM units; source coding preserved
Waveform / rich payloadObservation + Attachment / derived representationKeep raw/original payload or reference where required
ProvenanceProvenanceRecord provider, device, connector and transformation lineage
Developer Integration Surface
SurfaceOperation / resourceUseStatus
FHIRDevice / DeviceMetric / Observation / ProvenanceCanonical interoperable representationFHIR surface
BLE / GATTService/characteristic discovery, read/write/notifyDirect device capability integrationProtocol surface
Provider APIsProvider-specific device & measurement APIsCloud-connected commercial devicesExternal provider API
Connector SDKDevice adapter, capability mapping, ingestion handlersCustom/new device familiesSDK contract evolving
Mediloop Device APIDevice registry / measurements façadeSimplified app-level device managementPlanned contract
Regulatory Considerations
Do not infer medical-device status from the connector alone; use the manufacturer device and intended-use classification.
Keep wellness and clinically validated measurements distinguishable in the data model and UI.
Preserve source device, provider, firmware/version and quality metadata when clinically relevant.
Validate regional provider availability and regulatory constraints before production.
Treat algorithm-derived measurements according to the provider's intended use and evidence, not simply as raw sensor values.
Best Practices
Identify capability and data-quality requirements before choosing the device.
Map measurements to standards without deleting original codes/units.
Handle sampling frequency, timestamps, time zones and gaps explicitly.
Test battery/connectivity interruptions and replacement-device scenarios.
Separate device connectivity success from clinical data validation.
Monitor provider API changes, firmware changes and deprecations.
Next Steps
Choose integration path

BLE, mobile platform, provider cloud, gateway or local clinical network.

Verify provider requirements

Access program, scopes, rate limits, test devices and regional availability.

Map data

Define FHIR resources, terminology, units and provenance.

Validate production use

Security, privacy, data quality, monitoring and regulatory context.