analytics packages

Gain superior data insights with our analytics packages

Designed expressly for researchers, our packages allow you to gain a deeper understanding of your participants’ physiological biomarkers to better inform your research goals. All of our reports are backed by cited scientific research, so you can utilize the results with confidence.

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Our expertise is your peace of mind

New to using physiological data? Our experts, trusted by researchers from Stanford to MIT, are here to help.

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Elevated research outcomes

Unlock deep insights into physiological biomarkers with scientifically backed, detailed reports on HRV and sleep patterns.

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Save time on data processing and organization

Know what you want but don’t want to code it yourself? We help researchers save time by distilling their data.

Pre-built and validated reports

All reports are built on research-grade data pipelines, with full data cleaning, processing, and analysis, and relevant scientific references included.

Heart Rate Variability (HRV)

We derive heart rate variability (HRV) from beat-to-beat interval data, making it the most granular in the consumer wearable market. Our HRV packages equip researchers with comprehensive reports, complemented by advanced analysis tools and customizable options to align with specific research needs.

HRV: Linear (Time & Frequency Domain)

Measures time-domain (HR, pRR50, SDRR, RMSSD) and frequency-domain (TP, VLF, LF, HF, LF/HF ratio) markers of autonomic nervous system activity, computed from beat-to-beat interval data.

HRV: Non-Linear

Measures detrended fluctuation analysis (DFA a1/a2) and multiscale entropy (MSE), capturing the complexity and fractal structure of heart rate dynamics.

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All of the Garmin wearable data gets pulled out and reported to you in a usable way. We couldn’t have done our study without it.

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Jennifer Edelschick, PT, DPT
Clinical Specialist in Physical Therapy, Duke Health

Sleep

Sleep: Actigraphy

Measures sleep duration, awakenings, and sleep efficiency, derived from high-resolution actigraphy (movement energy or movement frequency/zero crossing method) collected via the Labfront App.

Sleep: Regularity & Timing

Select one of:

  1. Sleep Regularity Index (SRI) and SD of sleep timingMeasures the probability that a participant is in the same sleep/wake state at time points 24 hours apart, averaged across the recording period (SRI), along with the standard deviation of sleep onset, offset, and duration.
  2. Interdaily Stability (IS)Measures how consistently the rest-activity pattern repeats from day to day, expressed as the ratio of the variance of the average 24-hour profile to the total variance (range 0 to 1).
  3. Social Jetlag (SJL)Measures the difference in mid-sleep time between free days and work days, capturing misalignment between biological and social timing. Requires participants' work/free day schedule.
  4. Composite Phase Deviation (CPD)
Coming soon

Circadian Rhythm Analysis

Includes:

  • Nonparametric Circadian Rhythm Analysis (NPCRA)Measures the stability, fragmentation, and amplitude of the rest-activity rhythm (IS, intradaily variability, L5, M10, relative amplitude).
  • Cosinor AnalysisFits a cosine curve, assuming a sinusoidal rhythm with a fixed 24-hour period, to estimate the mesor, amplitude, and acrophase, characterizing the average level, strength, and timing of the daily rhythm.
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Labfront's analysts consistently go above and beyond with positivity, a sterling work ethic, and an ever-present willingness to assist, making our collaboration a genuine pleasure.

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Michelle Poirier, PhD
Research Scientist, Metamorphosis, LLC
Unsure what you need? Our team of experts can create a custom solution for your project.

Custom Analytics Service

If your needs aren’t covered by our pre-built reports, our team can support your research from exploration to analytics. We’ll work with you to figure out the right package for your budget and needs.

Expertise in non-linear and dynamical biomarkers applications
Build dashboards and other applications on top of the Labfront platform
Eliminate the overhead costs and time involved in expanding your in-house team
Support from initial planning to paper publication, including full data cleaning
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Labfront's analysts understood our needs as researchers and saved us weeks of work when they prepared our datasets for analysis.

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Bryan Edwards, Professor
Management Department, Oklahoma State University

An all-star team of experts to support your analysis

Our analytics team of MDs and PhDs are alumni from the Center for Dynamical Biomarkers (Beth Israel Deaconess Medical Center/Harvard Medical School) and have over 20+ years of experience.

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Andrew C. Ahn, MD
Chief Medical/Science Officer, Labfront
Assistant Professor of Medicine, Harvard
Andrew C. Ahn, MD
Chief Medical/Science Officer, Labfront
Assistant Professor of Medicine, Harvard
  • Co-Director of the Center for Dynamical Biomarkers, BIDMC/Harvard
  • Medical Lead of the XPRIZE Tricorder winning team, Dynamical Biomarkers Group
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Chung-Kang Peng, PhD
Chief Scientific Advisor, Labfront
Director, Center for Dynamical Biomarkers
Chung-Kang Peng, PhD
Chief Scientific Advisor, Labfront
Director, Center for Dynamical Biomarkers
  • Founding Team of PhysioNet
  • Former Associate Professor of Medicine at Harvard Medical School
  • Team Leader of the XPRIZE Tricorder winning team, Dynamical Biomarkers Group
  • Inventor of Detrended Fluctuation Analysis, Multiscale Entropy, Cardiopulmonary Coupling, and more.
  • Publications cited 60,000+ times
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Han-Ping Huang, PhD
Research Lead, Labfront
Han-Ping Huang, PhD
Research Lead, Labfront
  • PhD Student at the Center for Dynamical Biomarkers
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Francis Hsu, PhD
Research Lead, Labfront
Francis Hsu, PhD
Research Lead, Labfront
  • PhD Student at the Center for Dynamical Biomarkers

An all-star team of analysts

Our analytics team of MDs and PhDs are alumni from the Center for Dynamical Biomarkers (Beth Israel Deaconess Medical Center/Harvard Medical School) and have over 20+ years of experience.

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Research Highlights

Physiotherapy and Cystic Fibrosis Research

With Labfront, Jennifer Edelschick was able to utilize Garmin wearables in her cystic fibrosis study so her team could capture objective physiological data and see how exercise was impacting subjects’ sleep, mood, pulmonary function, and more.

Labfront helped pull all the data together and the additional analytics package generated usable reports for her research.

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All of the Garmin wearable data gets pulled out and reported to you in a usable way. We couldn’t have done our study without it.
Jennifer Edelschick Image
Jennifer Edelschick, PT, DPT
Clinical Specialist in Physical Therapy Duke Health

Bringing Objective Data to Epidemiological Studies

The Stanford WELL For Life Wearable Pilot Study set out to measure sleep, stress, and depression. They chose Labfront to get granular sensor data, such as interbeat interval (IBI), that they could customize to their own needs.

Our analysts saved them a tremendous amount of time by deriving heart rate variability (HRV) from the IBI data that would have been nearly impossible for analysts without HRV expertise.

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The analysts at Labfront are very conscientious and hardworking, and I am appreciative of their contribution.
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Ann Hsing, PhD, MPH
Professor of Medicine, Stanford Prevention Research Center

Frontline Healthcare Worker Resiliency During The Pandemic

Researchers at Clemson examined the wellbeing of frontline health care workers at the height of the pandemic. They wanted to see how the long hours (including shift work and overtime) were affecting their overall health.

They collected both self-reported data as well as objective biomarker data through the use of wearables, painting a richer and more complete picture of their participants’ experiences.

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We’re really impressed with how quickly and accurately the Labfront team synthesizes information for us, and is very understanding of what we need.
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Kristin Scott, PhD
Professor of Business, Clemson University

Therapy + Biomarker Monitoring to Reduce Depression Risk

ThoughtFull and Labfront scientists launched a 3-month research study combining mental health therapy with digital biomarker monitoring to examine its effectiveness in reducing depression.

Significant clinical improvements were seen in the emotional state of the participants, offering preliminary support for incorporating physiological data such as physical activity, sleep, and heart rate in mental health interventions.

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ThoughtFull wanted to enhance our clinician's ability to delve deeper into their clients' wellbeing and progress by integrating objective data into their intervention methodology.
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Joan Low
CEO, ThoughtFull
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Built to overcome the challenges of the digital age

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A commitment to compliance
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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.

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A commitment to privacy
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Unlike big-tech, we believe in data privacy. You control your data. We will never sell your data, ever. Period.

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A commitment to security
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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.

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“Now, more than ever, we need tools like Labfront that can help researchers take their research and data collection virtual.”
Dr. Gloria Yeh
Dr. Gloria Yeh, MD
Associate Professor of Medicine, Harvard Medical School
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“The Labfront team was extremely responsive to our requests and made every effort to accommodate our unique needs.”
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Yogev Kivity, Ph.D.
Senior Lecturer of Psychology, Bar Ilan University
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"Labfront's analysts understood our needs as researchers and saved us weeks of work when they prepared our datasets for analysis."
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Bryan Edwards, Professor, Joe Synar Chair
Management Department, Oklahoma State University
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“The physiological data really helped provide deeper insights.  We recommend Labfront and will definitely be using it again!”
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Dr. Kristin Scott, PhD
Professor of Business, Clemson University
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