Using the Biostrap wrist-worn sensor for early identification of non-specific changes in health.
Must be an active Biostrap user with a wrist-worn device to participate in the COVID-19 study.
Must opt-in via the latest update, V3.4.0, of the Biostrap app.
Biostrap is performing an observational study to analyze biometric trends that may provide early identification, risk stratification and outcome monitoring of various illnesses, including COVID-19. In addition to granting permission to review their biometric data trends, users will complete a comprehensive intake questionnaire and be prompted to complete a survey each morning upon waking up in order to correlate with subjective symptoms of diagnoses.
Participation in this observational study is not mandatory. Users have the option to opt-in and provide their de-identified data to help develop solutions to address pandemic trends. If Biostrap users choose to opt-in, they will receive a confirmation email and will be transferred to the COVID-19 organization.
Establish a comprehensive baseline of individual biometric trends.
Biostrap should be worn during rest and sleep each night.
Complete Sleep Survey each morning immediately upon waking.
Optional: perform and input values for blood pressure and temperature.
Manually perform ‘Comprehensive Pulse Report’ every three hours when possible.
Assess for statistically significant change in biometrics trends. Correlate with subjective feelings, onset of symptoms associated with COVID-19 or diagnosis of related illness by a healthcare professional.
In appreciation for your participation in helping to better understand the symptoms of COVID-19 and develop solutions, all users who opt-in to this study will receive 3 months of complimentary access to Meditation Plus and the Sleep Lab.
Meditations that provide features to help you reach a meditative state efficiently and quantify the efficacy of a single and ongoing session. Measuring your biometrics with either the Biostrap Wrist Band or the Heart Rate Monitor, you can track how your physiology changes throughout a meditation.
Zen Score
A scoring system that helps you understand changes and improvements in your stress levels and physiology before and after a meditation session.
Functional Music
Clinically validated sounds and musical tones to help you reach and maintain a meditative state more efficiently and in less time.
Get more in-depth data on sleep disturbances including contributing factors to Sleep Score deductions.
Snoring Audio Capture
Arm & Leg Movements
Biometric Recordings every 2 minutes
PDF Sleep Lab report to share with your doctor or keep for yourself
Coronaviruses are a group of viruses that can cause mild respiratory infections, such as the common cold. They can, however, also be potentially lethal, as seen in cases of severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and the recent Coronavirus disease 2019 (COVID-19).
COVID-19 presents with early onset symptoms such as fever, cough, dyspnea and shortness of breath (Mayo Clinic) within 2 to 14 days of exposure. According to the CDC, the virus is thought to spread primarily from person to person through close contact or contact with surfaces contaminated with respiratory droplets produced by an infected individual. While individuals are thought to be most contagious when symptomatic, it is believed that COVID-19 may spread prior to onset of symptoms, leading to an emphasis on early identification, intervention and implementation of source control (Interim Infection Prevention and Control Recommendations, CDC).
Physiological processes including thermoregulation, respiratory rate and heart rate are regulated via the autonomic nervous system, which is responsible for maintaining homeostatic balance. A study performed at Stanford University (Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information, 2017) found that fitness monitors and other wearable biosensors can determine when the individual’s heart rate, skin temperature and other measures are abnormal, indicating possible illness. Another study by Lancet Digital Health (Harnessing Wearable Device Data to Improve State-Level Real-Time Surveillance of Influenza-like Illness in USA: A population Based Study, 2020) found that biometric data from physiological trackers may improve real-time and geographically refined influenza surveillance which may be vital to enact timely outbreak response measures. In addition, heart rate variability, nocturnal oxygen saturation and an increase in cardiac output can be valuable measures prior to symptomatic respiratory tract viral infection. Abrupt changes in these biometrics, measured by Biostrap, may provide early indication of non-specific exposure and imminent illness prior to the onset of symptoms.
According to the CDC, individuals are most contagious when they are the most symptomatic. Through an analysis of relative change at the level of the individual, this data may provide value (when utilized in conjunction with validated diagnostic assessments) to understand severity and individual contagion factor. Similarly, a positive biometric trend change, indicating a return to baseline, may provide a method to gauge improvements, although validated diagnostic testing would be necessary.
The wristband is made of liquid silicone rubber. The lenses of the wristband should be cleaned periodically. A simple wipe with a damp cloth is sufficient to clean both devices. Do not use alcohol, harsh chemicals or solvents on the devices, and do not submerge in water.
Clinical-grade PPG sensors and comprehensive raw waveform analysis provide the highest level of data integrity necessary for early identification and decision making.
Biometric data is auto-captured through a wrist-worn sensor with a focus on nocturnal data collection. Users have the option of removing sensors during work hours for personal and public safety without sacrificing biometric value.
Absolute biometric values and population-specific comparative analysis may be valuable for risk stratification or predisposition to increased severity. Additionally, a focus on abrupt, maladaptive change in individual biometric trends provides predictive potential for early identification, rapid intervention and source control. Biostrap machine learning provides simple trend analysis and indication of significant change.
Get more in-depth data on sleep disturbances including contributing factors to Sleep Score deductions.
Snoring Audio Capture
Arm & Leg Movements
Biometric Recordings every 2 minutes
PDF Sleep Lab report to share with your doctor or keep for yourself
Delivers insights related to positive influences and behaviors to maintain or improve biometric trends.
The Biostrap platform provides Sleep and Recovery algorithms (Scores 0-100) for simple and rapid interpretation of change.
