CARP Mobility Package #

A comprehensive Flutter package for conducting standardized mobility assessments using smartphone and wearable sensors. This package provides clinical-grade mobility tests commonly used in healthcare and research settings to assess physical function, balance, and fall risk.

Features #

Mobility Tests #

• Timed Up and Go (TUG) Test: Comprehensive assessment of mobility, balance, and fall risk
• Walking Test (10-Meter Walk Test): Measures walking speed and gait performance
• Sit-to-Stand Test (STS): Evaluates lower body strength and functional mobility
• Shoulder Range of Motion (SROM) Tests: Assesses shoulder flexibility and range of motion
  • Flexion/Extension movements
  • Abduction movements
  • Internal/External rotation

Sensor Support #

• Smartphone Sensors: Built-in accelerometer, gyroscope, and magnetometer
• Movesense Devices: External wearable sensors for enhanced precision
• Flexible Sensor Placement: Support for various body locations (chest, waist, thigh, etc.)

Advanced Features #

• Real-time sensor data processing and analysis
• Automatic event detection (stand-up, sit-down, turns, steps)
• Calibration procedures for accurate measurements
• Multi-language support with localization
• Comprehensive result reporting with timing metrics
• Research Package integration for structured test workflows

Getting Started #

Prerequisites #

• Flutter SDK 3.7.2 or higher
• Android/iOS device with motion sensors
• (Optional) Movesense device for enhanced sensor capabilities

Installation #

Add this package to your pubspec.yaml:

dependencies:
  carp_mobility_package: ^0.1.0

Run:

flutter pub get

Permissions #

Add the following permissions to your app:

Android (android/app/src/main/AndroidManifest.xml):

<uses-permission android:name="android.permission.BLUETOOTH" />
<uses-permission android:name="android.permission.BLUETOOTH_ADMIN" />
<uses-permission android:name="android.permission.ACCESS_FINE_LOCATION" />

iOS (ios/Runner/Info.plist):

<key>NSBluetoothAlwaysUsageDescription</key>
<string>This app uses Bluetooth to connect to Movesense devices</string>
<key>NSLocationWhenInUseUsageDescription</key>
<string>This app uses location services for Bluetooth device discovery</string>

Usage #

Basic TUG Test Implementation #

import 'package:carp_mobility_package/carp_mobility_package.dart';
import 'package:research_package/research_package.dart';

class MobilityTestScreen extends StatefulWidget {
  @override
  _MobilityTestScreenState createState() => _MobilityTestScreenState();
}

class _MobilityTestScreenState extends State<MobilityTestScreen> {
  @override
  Widget build(BuildContext context) {
    return Scaffold(
      body: RPUITask(
        task: TugTask(identifier: 'tug_assessment'),
        onSubmit: (RPTaskResult result) {
          // Handle test results
          print('TUG Test completed: ${result.toString()}');
        },
      ),
    );
  }
}

Walking Test with Custom Parameters #

import 'package:carp_mobility_package/carp_mobility_package.dart';

// Create a custom walking test with specific step count
final wtMeasure = WTMeasure(
  type: 'wt',
  name: 'Custom Walk Test',
  numberOfSteps: 20, // Custom step count
);

final walkingTask = WTTask(
  identifier: 'walking_assessment',
  measure: wtMeasure,
);

// Use in RPUITask
RPUITask(
  task: walkingTask,
  onSubmit: (result) {
    final wtResult = result.results['wt_test'] as WTResult?;
    if (wtResult != null) {
      print('Walking time: ${wtResult.time} seconds');
    }
  },
)

Sit-to-Stand Test #

import 'package:carp_mobility_package/carp_mobility_package.dart';

final stsTask = StsTask(identifier: 'sts_assessment');

RPUITask(
  task: stsTask,
  onSubmit: (result) {
    final stsResult = result.results['sts_test'] as StsResult?;
    if (stsResult != null) {
      print('STS repetitions: ${stsResult.repetitions}');
      print('Test duration: ${stsResult.duration}');
    }
  },
)

Shoulder Range of Motion Tests #

import 'package:carp_mobility_package/carp_mobility_package.dart';

// Flexion test
final flexionTask = FlexionTask(identifier: 'shoulder_flexion');

// Abduction test
final abductionTask = AbductionTask(identifier: 'shoulder_abduction');

// External rotation test
final externalRotationTask = ExternalRotationTask(identifier: 'shoulder_external_rotation');

Test Descriptions #

Timed Up and Go (TUG) Test #

The TUG test measures the time it takes for a person to stand up from a chair, walk a short distance, turn around, walk back, and sit down. It includes:

• Stand-up detection using accelerometer data
• Turn detection using gyroscope integration
• Sit-down detection with timing validation
• Calibration phase for accurate turn angle measurement

Walking Test (10-Meter Walk Test) #

Measures walking speed and step detection over a specified distance:

• Real-time step counting using accelerometer peaks
• Configurable step targets (default: 15 steps)
• Walking time measurement for speed calculation
• Optimized for various sensor placements

Sit-to-Stand Test #

Evaluates lower body strength through repeated standing motions:

• 30-second test duration
• Automatic repetition counting
• Stand/sit cycle detection
• Performance metrics calculation

Shoulder Range of Motion Tests #

Assess shoulder joint flexibility and mobility:

• Flexion/Extension: Forward and backward arm movements
• Abduction: Arm movement away from body
• Internal/External Rotation: Rotational movements
• Gyroscope-based angle measurement

Configuration Options #

Sensor Locations #

• SensorLocation.chest - Chest mounted (recommended for TUG)
• SensorLocation.waist - Waist/belt mounted
• SensorLocation.pocket - Smartphone in pocket
• SensorLocation.thigh - Thigh mounted
• SensorLocation.upperArm - Upper arm (for SROM tests)

Sampling Rates #

• Accelerometer: 26Hz, 52Hz, 104Hz, 208Hz
• Gyroscope: 26Hz, 52Hz, 104Hz, 208Hz
• Magnetometer: 26Hz, 52Hz, 104Hz, 208Hz

Example App #

A complete example application is available in the /example directory, demonstrating:

• All mobility test implementations
• Sensor selection interfaces
• Result processing and display
• Best practices for integration

To run the example:

cd example
flutter run

Localization #

The package supports multiple languages:

• English (en)
• Danish (da)
• Hungarian (hu)

Add custom translations by extending the localization files in assets/lang/.

Research Integration #

This package is designed for clinical research and integrates with:

• Research Package for structured workflows
• CARP Mobile Sensing ecosystem
• Standard clinical assessment protocols

Contributing #

Contributions are welcome! Please read our contributing guidelines and submit pull requests for any improvements.

License #

This project is licensed under the MIT License - see the LICENSE file for details.

Citation #

If you use this package in research, please cite:

CARP Mobility Package. (2025). Copenhagen Research Platform (CARP).

Support #

• 📚 Documentation
• 🐛 Issue Tracker
• 💬 Discussions

Related Packages #

• research_package - Research study framework
• carp_serializable - JSON serialization
• sensors_plus - Device sensor access
• mdsflutter - Movesense package