Health status assessment
Health status metrics enhance traditional clinical markers by converting foundational data into actionable health insights. These algorithms leverage established clinical frameworks tailored for continuous monitoring through wearable devices, enabling healthcare applications to offer users comprehensive health assessments.
Sleep Assessment
Sleep plays a crucial role in maintaining overall health and well-being, impacting both physical and mental performance. Accurate assessment of sleep quality helps in identifying potential health issues early on, allowing for timely interventions and improved health outcomes.
Our algorithms perform a two-dimensional sleep assessment following existing clinical standards, evaluating the Quality and Efficiency of a specific night's sleep as well as assessing circadian health and sleep consistency patterns across a rolling historical timeframe.
Input Data
Thryve Foundational Sleep Analytics
Output Data
2201
SleepQuality
Scale: 0-100 (higher values indicate better sleep quality).
Clinical significance: Values >77 indicate good sleep quality
2200
SleepEfficiency
Scale: 0-100 (higher values indicate better sleep hygiene). Clinical significance: Values <75 are correlated with aging and indicate can various health conditions
2220
SleepRegularity
Scale: 0-100 (higher values indicate more regular sleep patterns) Clinical significance: Values <60 associated with increased health risks
2221
InterdailyStability
Scale: 0-100 (higher values indicate more stable circadian rhythms) Clinical significance: Values <50 point to irregular daily structure, often reflecting underlying mental, neurological, or lifestyle-related issues.
Physical Activity Index Assessment
The Physical Activity Index provides crucial insights into an individual's activity patterns, serving as a multidimensional tool to evaluate and improve activity-related health outcomes.
By systematically analyzing the intensity, frequency, and duration of physical activity, this index empowers users to identify potential causes of health disparities and encourages the adoption of healthier lifestyles.
Input Data
1101
ActivityLowDuration
1102
ActivityMidDuration
1103
ActivityHighDuration
1287
MetabolicEquivalentMax5Min
All required input data is calculated by Thryve's foundational analytics.
Output Data
1013
PhysicalActivityIndex
Scale: 0-45 (higher values indicate higher physical activity) Clinical interpretation:
0: Inactive lifestyle
1-20: Moderately active
>20: Highly active
Clinical significance: Low physical activity indicates a sedentary lifestyle, leading to increased risk of metabolic syndrome, cardiovascular events, and earlier mortality.
Cardiovascular Fitness Assessment
This assessment provides valuable insights into your users' heart and lung capacity to transport and utilize oxygen during intense physical activities. By estimating VO2max, which indicates the maximum rate of oxygen consumption during increasing exercise intensity, we offer a vital indicator of your users' aerobic endurance and overall cardiovascular health. The estimation incorporates data from wearables and demographic information to deliver an accurate measure of your users' cardiovascular fitness.
Input Data
1013
PhysicalActivityIndex
3001/3002
HeartRateResting/HeartRateSleep (depending on availability)
5027
WaistCircumference
Gender
Birthyear
Output Data
3030
VO2max
VO2max represents a strong predictor of cardiovascular mortality and all-cause mortality.
3032
VO2maxPercentile
Provides percentile ranking of user based on Cooper Institute fitness standards with age and gender stratification.
3031
FitnessAge
Translates VO2max into age-equivalent fitness level using population fitness norms.
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