Wearable data collection without the hassles

Collect step count, heartrate, actigraphy, sleep data and other vital signs data from wearables at scale, all data stored in our medical grade platform.

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Healthcare Integrations made easy, using our Integration Engine

Effortlessly connect systems like REDCap, Airtable and .. with WeGuide by using our Integration Engine.

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Wearable data collection too complicated? We got you covered

Integrated within WeGuide

The device integrations are built into our iOS and Android app natively by using SDKs and API's, no need for additional software.

Turn it on by flicking a switch

Select the health data types that you want to collect and we'll do the rest.

All data is stored in our medical grade servers

All health data is stored on our TGA and ISO certified servers

Download all your data with a single click

Export all health data from all your patients and participants with a single click, ready for analysis.

Trusted by leading research institutes worldwide

Don't just take our word for it - take Apple's.

Featured in the Global Apple News Room for our groundbreaking heart failure study, using the Apple Watch for ECG data collection

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How to collect wearable data

1

Turn health data collection

In your program, turn the module for health data collection on. Once it’s on, you can decide with health metrics you want collect in your program or study.

2

Pick your wearable & health metrics

Decide which wearable integration module you want to use in your program and select the health metrics or vital signs that you want to collect.

3

Wearable device setup

Participants and patients will be prompted to connect their device when they open the app for the first time. After configuring the wearable device, health data collection will begin automatically.

4

Health data is synced

The data from the wearable device will be synced to the WeGuide servers, everytime the participant or patients opens the app. All data can be exported with a press of a button.

5

Patient engagement

Build and maintain a patient community with News, Education, and Symptom Tracking.

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Helping researchers transform ideas into discoveries.

Hear what our clients have to say!

"WeGuide empowers us to collect data from 120,000 families without the hurdles we faced before. It’s revolutionizing our study."
Susan Clifford
Senior Research Officer
“The main benefit of WeGuide is its convenience. I can’t imagine how we would follow thousands of participants and collect their data without WeGuide!”
Kaya Gardiner
Trial Project Manager
"WeGuide has transformed how we manage our patient registry. The ease of digital screening and obtaining eConsent has significantly improved our workflow."
Emma Weatherley
Managing Director
"The WeGuide trial offers staff a practical tool for recording daily COVID-19 symptoms and temperatures. For those in high-risk areas, daily reminders and alerts provide peace of mind and reassurance about their health."
Kate Cranwell
Manager
"It’s obvious that WeGuide is committed to develop technology that benefits people in the community. WeGuide has been a great partner in achieving this goal within Western Health."
Paul Eleftheriou
Chief Medical Officer

Supported health data points

Our partnerships with device manufacturers such as Garmin and Apple, allow us to collect a wide variety of health data points. Over here, you are seeing the supported data types. Missing one? Let us know

View all health data points
1. Heart Rate
What it is: Heart Rate measures the number of times your heart beats per minute (bpm), giving real-time data on cardiovascular health.
Why it’s useful: Tracking heart rate helps reveal fitness levels, recovery rates, and signs of stress. Monitoring this metric can show how physical activity, relaxation techniques, or stressors impact cardiovascular health, which is valuable in fitness and wellness programs.
Example
November 11, 2024
Resting heart rate: 62 bpm
Average heart rate during exercise: 132 bpm
Peak heart rate: 145 bpm
3. Steps
What it is: Steps are the total count of footsteps taken, typically measured per day or over another defined interval, depending on the device.
Why it’s useful: Steps provide a straightforward metric for gauging daily movement, useful in programs focused on increasing activity. Monitoring step counts helps participants set and achieve movement goals, supporting cardiovascular health, fitness, and weight management.
Example
November 11, 2024: 9,700 steps
5. Blood Oxygen Saturation (SpO₂)
What it is: Blood Oxygen Saturation (SpO₂) measures the percentage of oxygen in the blood, an important indicator of respiratory health.
Why it’s useful: Low SpO₂ levels can signal respiratory issues, high-altitude effects, or sleep-related breathing disturbances. Monitoring this metric is helpful for programs focused on respiratory health or high-intensity training, where efficient oxygen use is key.
Example
November 11, 2024
Average SpO₂: 97%
Lowest SpO₂: 94%
7. Heart Rate Variability (HRV)
What it is: Heart Rate Variability (HRV) is the variation in time between each heartbeat, reflecting autonomic nervous system health.
Why it’s useful: HRV is an indicator of stress and recovery, helping participants in wellness or athletic training programs monitor their body’s responses to stress and adjust activities for optimal recovery.
Example
November 11, 2024
Average HRV: 65 ms
Morning HRV: 72 ms
Evening HRV: 58 ms
9. VO₂ Max (Cardio Fitness)
What it is: VO₂ Max measures the maximum oxygen the body can utilize during intense exercise, indicating cardiovascular fitness.
Why it’s useful: VO₂ Max is a strong indicator of endurance and overall heart health. Programs aimed at increasing fitness levels use this data to assess cardiovascular improvements and set appropriate training goals.
Example
November 11, 2024
VO₂ Max: 45 ml/kg/min
11. Body Fat Percentage
What it is: Body Fat Percentage represents the proportion of body weight made up of fat, offering a more detailed view of body composition than BMI alone.
Why it’s useful: Body Fat Percentage provides valuable information on muscle-to-fat ratio, which is useful in fitness or weight management programs. Tracking changes in body fat helps participants monitor progress toward goals related to muscle gain or fat loss.
Example
November 11, 2024
Body fat percentage: 18.5%
13. Accelerometer
What it is: The Accelerometer sensor detects body movements and acceleration in multiple directions, recording data on activity intensity, frequency, and type.
Why it’s useful: Accelerometer data enhances activity tracking by identifying movement patterns. This metric is useful in programs focused on physical therapy or fitness, helping participants monitor mobility, coordination, and exercise intensity over time.
Example
November 11, 2024
Total movement duration: 4h 20m
High-intensity activity: 1h 15m
Low-intensity activity: 3h 05m
15. Wrist Status
What it is: Wrist Status identifies whether a device is actively worn on the wrist, ensuring accurate data collection for movement, heart rate, and sleep tracking.
Why it’s useful: Wrist Status improves data accuracy by confirming the device’s position on the wrist, which is important in health programs for reliable real-time health tracking and progress monitoring.
Why it’s useful: Actigraphy is beneficial for tracking daily and nighttime activity patterns, especially in programs aimed at sleep improvement. Participants can use this data to understand rest cycles and make adjustments for better energy and recovery.
Example
November 11, 2024
Wrist status: Device worn continuously
2. Blood Pressure
What it is: Blood Pressure captures the force of blood against the artery walls with each heartbeat, reported in systolic and diastolic values (mmHg).
Why it’s useful: Blood pressure monitoring is essential for heart health management, particularly for those at risk of hypertension or related issues. Health programs can use this data to help participants make lifestyle adjustments to reduce cardiovascular risks.
Example
November 11, 2024
Morning reading: 120/80 mmHg
Evening reading: 125/82 mmHg
4. Sleep Analysis (In Bed, Asleep, Awake)
What it is: Sleep Analysis monitors in-bed, asleep, and awake periods to provide insights into sleep duration and quality.
Why it’s useful: Tracking sleep patterns helps identify factors affecting rest and recovery, which is valuable for programs that focus on sleep quality improvement. By monitoring sleep duration and disturbances, participants can make lifestyle adjustments for better mental and physical health.
Example
November 11, 2024
Time in bed: 8h 12m
Awake: 1h 01m
Asleep: 7h 11m
Deep sleep: 4h 11m
Light sleep: 1h 32m
REM sleep: 1h 28m
6. Calories (Active and Resting)
What it is: Calories measure energy expenditure, both actively burned during movement and passively burned at rest (Basal Metabolic Rate).
Why it’s useful: Tracking calorie burn provides insights into energy balance, helping participants understand how their activity level matches their dietary intake. This data is valuable in weight management or fitness programs, supporting informed choices about nutrition and activity.
Example
November 11, 2024
Active calories burned: 550 kcal
Resting calories burned: 1,200 kcal
8. Body Mass Index (BMI)
What it is: Body Mass Index (BMI) is a calculation of body fat based on height and weight, often used as a general health indicator.
Why it’s useful: BMI provides a simple measure of weight status and potential health risks related to body composition. In health programs, tracking BMI helps participants assess health risks associated with weight and track changes over time.
Example
November 11, 2024
BMI: 24.3
10. Respiratory Rate
What it is: Respiratory Rate counts the number of breaths taken per minute, a key indicator of respiratory health.
Why it’s useful: Monitoring respiratory rate offers insights into stress levels, fitness, and possible respiratory issues. This metric is valuable for programs focusing on stress management, physical fitness, or respiratory health.
Example
November 11, 2024
Average respiratory rate: 16 breaths per minute
Peak respiratory rate (during exercise): 24 breaths per minute
12. Sleep Stages (REM, Core, Deep)
What it is: Sleep Stages categorize sleep into REM, core, and deep phases, each of which plays a distinct role in recovery.
Why it’s useful: Understanding sleep stages can help participants improve their sleep quality and restfulness, which is beneficial in programs focused on overall health and mental well-being. Sleep stage tracking can highlight disruptions and support better sleep habits.
Example
November 11, 2024
Total sleep time: 7h 45m
REM sleep: 1h 10m
Light sleep: 3h 30m
Deep sleep: 3h 05m
14. Actigraphy
What it is: Actigraphy uses movement tracking to measure sleep and activity cycles, providing a non-invasive way to analyze patterns over time.
Why it’s useful: Actigraphy is beneficial for tracking daily and nighttime activity patterns, especially in programs aimed at sleep improvement. Participants can use this data to understand rest cycles and make adjustments for better energy and recovery.
Example
November 11, 2024
Daytime activity duration: 9h 40m
Resting periods: 2h 30m
Nighttime sleep interruptions: 3

FAQs

Find answers to frequently asked questions about using our Integration Engine for handling your research data or medical data

View all health data points
With which devices does WeGuide integrate?
How can I get access to the wearable data collected?
Where is the wearable data stored?
What kind of vital signs can you collect within WeGuide?
How easy is it for participants to setup the wearable integration?

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