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.

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.

Elevated research outcomes

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

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.

Packages with pre-built and validated analytics reports:

Heart Rate Variability (HRV) Packages Actigraphy (Sleep/Wake) Packages Sleep Staging Report

Custom Service

Interested in Labfront Analytics?

See our pricing plans

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.

Standard

Time domain (SDRR, RMSSD, pnn 50)

Frequency domain (VLF, LF, HF, LF/HF ratio)

Noise filtering

Starting from

$2000

Pro

Everything in Standard package plus:

Non-linear domain (Multi-Scale Entropy, Detrended Fluctuation Analysis (DFA) a1, DFA a2)

Starting from

$4000

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, PT, DPT

Clinical Specialist in Physical Therapy Duke Health

Actigraphy (Sleep/Wake)

We've collaborated with Garmin to create an affordable, validated actigraphy system compatible with top medical-grade devices like Actiwatch 2 and Motionlogger. Our customizable packages provide detailed sleep analysis for single or multiple nights, using movement energy and frequency methods for comprehensive insights.

Standard

Movement Energy or Movement Frequency (Zero Crossing) method

Starting from

$2000

Duo

Movement Energy and Movement Frequency (Zero Crossing) methods

Starting from

$2500

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.

Michelle Poirier, PhD

Research Scientist at Metamorphosis, LLC

Sleep Staging Report

Traditionally sleep staging has required a resource-intensive PSG process. We are currently working with a wearable EEG monitor to make research-quality sleep staging available at home.

In Development

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.

Learn more about our specialized on-demand analytics service

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

Labfront's analysts understood our needs as researchers and saved us weeks of work when they prepared our datasets for analysis.

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.

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

ResearchGate

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

Google Scholar

Wikipedia

Han-Ping Huang, PhD

Research Lead, Labfront

Han-Ping Huang, PhD

Research Lead, Labfront

PhD Student at the Center for Dynamical Biomarkers

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.

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.

Read the full case study

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, 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.

Read the full case study

The analysts at Labfront are very conscientious and hardworking, and I am appreciative of their contribution.

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.

Read the full case study

We’re really impressed with how quickly and accurately the Labfront team synthesizes information for us, and is very understanding of what we need.

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.

Read the results

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.

Joan Low

CEO, ThoughtFull

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A commitment to security

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