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SLEEP TANK / WEARABLE TECH & BIOMETRICS

What was the problem?

Athletes and high-stress professionals wore smartwatches that displayed confusing raw sleep stages (light, deep, REM) without actionable advice on daily cognitive readiness or physical recovery. The challenge was to translate complex physiological sleep algorithms into an intuitive cognitive battery gauge that updated on Fitbit and smartwatch hardware.

CLIENTSleep Tank
INDUSTRYHealthTech & Wearables
SCOPESmartwatch sleep recovery gauge and biometric algorithms
TECHNOLOGYFitbit SDK · JavaScript · Flutter · Biometric Algorithms · Wearable APIs
SLEEP TANK · SMARTWATCH RECOVERY GAUGE & APP
SLEEP TANK · SMARTWATCH RECOVERY GAUGE & APPOriginal project imagery / REEA Digital
01 / OUR APPROACH

How we structured the solution.

An advanced biometric application converting raw physiological sleep data into an intuitive recovery score.

Analyze physiological sleep. Gauge cognitive readiness.

REEA Digital developed a lightweight smartwatch application utilizing the Fitbit SDK alongside a companion Flutter mobile app, implementing proprietary cognitive recharge mathematical models.

The system continuously evaluates sleep duration, slow-wave restorative ratios, and wakeful interruptions, presenting the user with an intuitive fuel gauge representing cognitive alertness and burnout risks throughout the day.

02 / WHAT WE DELIVERED

Track restorative sleep. Calculate cognitive readiness.

The delivered capabilities were designed to solve the core problem: turn complex biometric sleep data into actionable recovery advice.

Deploy smartwatch recovery tank watch face

Display real-time cognitive readiness levels on Fitbit and smartwatch screens with minimal battery drain.

Implement proprietary restorative sleep algorithms

Calculate sleep depth, heart-rate dip, and restorative recovery scores each morning.

Provide personalized sleep hygiene recommendations

Deliver actionable bedtime and caffeine intake advice based on personal recovery curves.

03 / PROJECT IMPACT

Health insights. Three measures of impact.

Clinical algorithm correlation, nights tracked, and user energy improvements.

<2%

Smartwatch battery drain

Ultra-efficient 24-hour background biometric monitoring on wearable devices.

0.91

Clinical PSG correlation

Validation against clinical laboratory polysomnography sleep stage recordings.

75,000+

Sleep sessions analyzed

Continuous restorative sleep curves and cognitive debt scores calculated.

LET’S TALK

Developing wearable apps, biometric algorithms, or digital wellness products?

Let's discuss wearable SDK constraints, biometric data algorithms, and battery-efficient companion apps.

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