Healthy Clinical Trial
Official title:
Measuring the Effect of High Altitude (Hypoxia) on an Individual's Physiology - an Analytical Study to Validate the Performance of the Biovitals™ Analytics Engine (BA Engine - Altitude Study)
| Verified date | October 2018 |
| Source | Biofourmis Singapore Pte Ltd. |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Unexpected adverse health events resulting in a hospital admission can be potentially avoided
by leveraging novel physiological sensors combined with advanced computational techniques to
predict changes in physiology prior to the onset of symptoms. In other words, significant
improvement in the prevention of avoidable hospitalization can be achieved via early
detection and actionable insights of clinical deterioration at the individual patient level
as they go about their normal day to day activities. Physiological changes can be a warning
sign that a person's health is deteriorating and as such is an important component of an
early detection tool.
The Biovitals Analytics Engine (BA Engine) is intended to be used with data from already
validated sensors measuring physiological parameters, including heart rate (HR), respiratory
rate (RR) and activity in ambulatory patients being monitored in a healthcare facility or at
home. The device provides a continuous output- Biovitals™ Index (BI) which indicates whether
the relationships among the patients monitored vital signs change from those measured at
baseline (derived from measurements previously obtained during daily routine activities). The
BI is based on an integrated computation evaluating changes in the parameters and their
relationship to each other.
As part of the clinical validation of the BA Engine, it is important to first undertake an
analytical validation to demonstrate that the BA correctly processes the physiological data
for which it is designed, and generates an accurate detection of physiological change. In
order to generate a measurable physiological change, subjects will move from sea level to an
altitude environment which is known to cause increases in HR and RR.
| Status | Completed |
| Enrollment | 50 |
| Est. completion date | October 4, 2018 |
| Est. primary completion date | September 30, 2018 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years to 65 Years |
| Eligibility |
Inclusion Criteria: - 50 Male or female, voluntary adults aged between = 18 to = 65 years - Ability to read and understand basic English Language - Women who are of childbearing potential, must if sexually active, agree to use appropriate contraceptive measures for the duration of the study - Able to perform all activities in the study procedure Exclusion Criteria: - High altitude residents (>500m) - Anemic - Athlete - Lung, airways and/or sinus pathology - Previous myocardial infarction or coronary revascularization (PCI or CABG) - Any prior history of heart failure - Any prior history of moderate or severe valvular heart disease - Any history of pulmonary disease (asthma, emphysema/ COPD, pulmonary hypertension) - Any other medical condition or functional problems (e.g. previous intolerance or current contraindication to altitude, unable to exercise, skin problems, schizophrenia and bipolar disorder) that in the judgment of the investigator will impair the subjects ability to complete the processes needed in the clinical study - Unable or unwillingness to sign the informed consent - Pregnancy |
| Country | Name | City | State |
|---|---|---|---|
| Singapore | Singapore Aeromedical Centre | Singapore |
| Lead Sponsor | Collaborator |
|---|---|
| Biofourmis Singapore Pte Ltd. |
Singapore,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Analytical validation testing of the BA Engine's output | This study aims to demonstrate that the BA Engine correctly processes monitored physiological data to generate accurate, reliable and precise detection of changes in an individual's physiology at high altitude (3000m) when compared to their baseline physiology at sea-level, as per its design specifications and to meet its intended use. | Changes in subjects physiology at an altitude of 3000m compared to baseline physiology |
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