Understanding the unique aspects of women’s health requires accurate, accessible data. Labfront makes it easy to capture and analyze digital biomarkers, so you can gain deeper insights into the physiological responses experienced by women across different life stages and health conditions.
Labfront simplifies the collection of continuous wearable data to provide a more complete picture of participants' daily lives.
Combine survey data with key metrics such as heart rate variability, sleep patterns, physical activity, and stress to uncover nuanced patterns in women’s health.
Optimize your research process with Labfront’s all-in-one platform. Easily collect, access and analyze participant data with our user-friendly tools.
Automated reminders and near-real-time tracking improve participant compliance.
No more complex setups—just a smoother, more efficient experience.
Visualize and interpret data specific to your research needs, whether you're studying how exercise impacts postpartum recovery or tracking sleep quality during pregnancy. Use our validated reports to spot trends and make informed decisions.
Labfront also offers customized analytics to help you uncover key findings and deepen your understanding of women’s health.
From lifestyle data like activity and step count to detailed beat-to-beat interval that helps you derive heart rate variability, we've got you covered.
Heart rate interval (also known as RRI/IBI/BBI) is the time between each individual heartbeat. RR-Interval captured via ECG is available from Movesense devices. BBI captured through the pulse can be obtained from Garmin wearables.
From BBI data, researchers are able to derive valuable metrics such as heart rate variability (HRV) at the most granular level available. HRV is an accepted measure to approximate autonomic nervous system (ANS) function.
Each heartbeat
Find out how Dr. Ann Hsing from Stanford derived HRV from Garmin’s BBI data to measure wellbeing in her participants.
Stanford Well for Life Wearable Pilot Study
Actigraphy is a non-invasive method used to monitor human rest/activity cycles via an accelerometer-equipped device. We've adapted medical-grade actigraphy algorithms to process raw accelerometer data from Garmin wearables, achieving over 95% accuracy. Our solution provides access to two leading methods: movement energy and movement frequency/zero-crossing.
Get research-grade sleep data by remotely monitoring sleep in a participant's natural environment, offering more comprehensive insights into overall sleep patterns than a few nights in a lab.
10 sec - 1 min
Exploring actigraphy: Discoveries from our sleep tracking experiments
Learn more about using actigraphy in Labfront
With Labfront's Dexcom integration, easily access high-resolution continuous glucose monitoring (CGM) data to measure metabolic health.
Analyze daily glucose trends, patterns, and significant fluctuations, providing critical insights into individual glycemic statuses.
5 min
Explore clinical studies and expert guidelines showcasing the benefits of Dexcom CGM systems in enhancing diabetes outcomes.
Changes in skin temperature can be related to hormonal fluctuations related to menstrual cycles and menopause. Skin temperature monitoring is available via compatible Garmin devices.
Skin temperature monitoring can help researchers track menstrual cycle phases, detect ovulation, and monitor hormonal changes, providing valuable insights into reproductive health and potential conditions such as PCOS or menopausal transitions.
10 sec - 1 hr
Learn more about Garmin Connect's skin temperature feature.
High resolution electrocardiogram (ECG) data is the gold standard for heart rate rate monitoring, especially useful if you are measuring during exercise.
This data can be used to derive HRV as well as sleep apnea (cardiopulmonary coupling), or to detect heart tremors and atrial fibrillation.
125Hz - 500Hz
Check out this study validating the Movesense Medical sensor against a conventional 12 channel ECG for measuring HRV.
With Labfront and Movesense, track any type of motion with high-resolution 9-axis motion tracking. Get IMU data in aggregate or individually select from 3-axis accelerometer data, 3-axis gyroscope data, and 3-axis magnetometer data.
Used to track everything from walking cadence and gait to tremors from Parkinson's.
12.5Hz - 208Hz
Read this study presenting a mobile fall risk assessment solution for daily-life settings that uses Movesense acceleration data.
A robust CSV file offering valuable insights on a number of different metrics over the course of a participant’s day. Each row of statistics represents one day.
Researchers are able to observe high-level data for each day such as average heart rate, maximum/minimum stress levels, total steps taken, calories burned, etc.
Daily
View how the daily summary data is organized for you in Labfront.
This file contains activity types- from walking to running to cycling- and the intensities of such activities for each of your participants.
With this data, you can derive ratios such as amount of time spent active versus the amount of time spent sedentary over the course of a specific time period.
15 min
Learn how Jenn from Duke University used the activity data to better understand her cystic fibrosis patients’ exercise regime during their rehabilition program.
Calculated through a combination of actigraphy and heart rate data, Garmin’s sleep data files can offer you a column by column break down of sleep duration, sleep staging and sleep quality for each participant.
Gain more insight into overall sleep patterns than just one or two nights in a lab can offer by remotely monitoring sleep in a participant’s natural environment.
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See how the Garmin Vivosmart performed in a 2018 sleep validation study.
Learn more about Garmin’s sleep data files here.
Collect heart rate data at the sampling rate of your choice. Garmin’s specially tuned PPG sensors can also pick up each individual heart beat and provide you with heart rate interval data, one of the most unique metrics available in the consumer wearable market.
Heart rate is useful for measuring stress, exercise intensity, arrhythmia detection, and so much more.
1 sec - 60 min
Learn how Garmin’s Heart Rate data metric performed when compared to an ECG.
Check out our validation study on the HR accuracy of the Garmin vivosmart 4 compared to an EKG.
This numerical output is calculated based on a combination of a participant’s heart rate, activity, and heart rate variability data.
Traditionally evaluated based on self-reported data alone, researchers can now obtain a more objective representation of their participants’ stress levels through Garmin’s stress score.
10 sec - 60 min
Read more about how this psychotherapy feasibility study looked at stress in seven different case examples.
Learn more about how Garmin derives its stress score
Approximate activity by tracking the amount of steps taken each day by each participant over the course of your study.
Rather than relying on subjective self-reporting, measuring steps can add an objective assessment of physical activity to your research.
1 min - 15 min
Read a comparison study of three activity trackers and how they performed in a study observing activity in older adults.
Respiration tracks breathing rate throughout the day, during sleep, and during activities such as breathwork and yoga. It is measured in breaths per minute.
Respiratory rate is usually a stable metric, so an increased respiratory rate may be a sign of illness or stress (especially when paired with low activity). Tracking respiration can be useful for sleep staging as well.
10 sec - 60 min
Respiration is only supported on some Garmin devices, such as the vivosmart 5 and Venu SQ. Check our compatible devices page for the full list.
Although most often measured using a finger clip, blood oxygen saturation can also be obtained on the wrist. Select Garmin wearables support wrist-based blood oxymetry.
Fluctuations in blood oxygen levels can help provide insight into a participant’s overall health. Also used to in sleep apnea measurements.
10 sec - 60 min
View how SpO2 measurements taken via a Garmin fēnix® watch compare to those taken on a standard medical-grade pulse oximeter.
Labfront’s Women’s Health Grant 2023 recipient, Normand Richard, published a study exploring the effects of sprint interval training (SIT) on maintaining enhanced cardiac output postpartum. The research centered on a competitive field hockey player and former cyclist, who started SIT five weeks postpartum after an uncomplicated delivery.
The study aimed to evaluate whether early postpartum SIT could sustain the increased cardiac output (Q̇) and blood volume (BV) observed during pregnancy, which support fetal growth and are known to enhance athletic performance.
Labfront’s technology enabled us to collect novel data easily.
Our team of data scientists will work with you to understand your needs and help get the most from your data with custom analytics.
Labfront adheres to ICH-GCP, HIPAA, SOC 1/2/3 and GDPR. We keep up to date with the regulations so you don’t have to.
Unlike big-tech, we believe in data privacy. You control your data. We will never sell your data, ever. Period.
Labfront is built with the best practices in security in mind. Features like secure encryption that protects your data both at rest and in transit are tablestakes.