From sleep
measurement to personalized action.

Rekonas connects multi-night sleep, independent head and torso position, and cardiorespiratory context—creating evidence for research and a path toward personalized positional sleep care.

Sleep medicine researcher reviewing position-aware physiological data
Explore the effects of sleep position
Ten overhead views showing a sleeper in different back, side and front positions

Disease burden changes with sleep position. We measure it.

Many clinical disorders exhibit a profound, yet largely unmeasured, positional dependency during the night. By synchronizing high-resolution head and torso kinematics with neurophysiological and cardiorespiratory biomarkers, we map how and when body position correlates with physiological burden.

Explore positional impact across several diseases:

The sensing foundation

Position, physiology and context—in one synchronized view.

A modular sensing system connects brain activity, cardiac signals, oxygenation, body position, movement and sleep context across night and day.

01Sensing inputs

Four devices. Four distinct streams.

Each device captures a different signal before the streams are synchronized.

Headband

2-channel EEG + IMU

Somnolinc Pro sleep headband

Chest belt

ECG + IMU

Rekonas chest belt with sensing module

Finger sensor

SpO₂

Soft fingertip oxygen saturation sensor

Phone

Sound or sound intensity

Somnolinc Pro app showing head orientation and synchronized overnight signals

02Synchronize

Four devices, working as one Data from every device is precisely synchronized, preserving the relationships between signals throughout the night.

What makes Rekonas unique?

Tailored to your specific study requirements

Mix and match modalities to fit your protocol. Deploy our headband, chest belt, finger sensor, and phone independently or as a fully synchronized set.

High-resolution positional tracking through sleep

Capture independent head and torso orientation throughout the night to reveal subtle movements, sustained postures, and clinically meaningful relationships between body position and overnight physiological response.

Connecting Night and Day

Our chest belt tracks continuous ECG and movement metrics also during the day. Metrics like HRV, respiration, cadence, step count, stride width, and many more help reveal how daytime behaviors shape nightly recovery.

Custom AI and machine learning solutions

We build custom AI and ML algorithms designed around your unique endpoints, transforming raw ECG, EEG, SpO₂, movement, light, temperature, and audio data into validated digital biomarkers.

Our platforms

Two paths to action.

Neoma configures remote home monitoring and traceable analysis for clinical trials. Aeruna maps an individual positional sleep-apnoea phenotype into clinician-directed guidance and reassessment.

Multi-Sensor Wearables & Sleep Analytics for Digital Clinical Trials

Neoma turns multi-night, multimodal monitoring into actionable trial evidence.

Configure the signals and workflows around your endpoints—from sleep and movement to cardiorespiratory physiology—and uncover meaningful digital biomarkers across decentralized participants.

1. Design Research question · endpoints · sensors

Translate your research question into measurable endpoints, then select the devices, modalities, duration, and protocol needed to capture them.

  • Headband — captures brain activity, head movement, and ambient light intensity.
  • Finger sensor — captures blood oxygen saturation (SpO₂).
  • Chest belt — captures ECG and torso movement.
  • Phone — captures sound during sleep.
2. Monitor Multi-night home recordings

Participants use the configured sensing set at home while the phone guides each recording and securely transfers synchronized data to the Neoma cloud.

Data is hosted and processed exclusively in Switzerland or the EU, without relying on cloud providers or subprocessors outside these jurisdictions.

Participant sleeping at home while wearing the Rekonas headband and finger sensor
3. Quality control Automated checks · expert review

From the first incoming data point, automated checks flag missing, incomplete, or implausible recordings. Experts review cases that require judgment, keeping people in the loop.

  1. Data receipt confirmed
  2. Device synchronization verified
  3. Signal quality assessed
  4. Human review when required
Research professional reviewing study data at a computer
4. Analyze Validated pipelines · custom algorithms

Apply validated analytical pipelines or develop study-specific algorithms to transform synchronized raw signals into endpoint-ready measures and digital biomarkers across a broad range of physiological domains.

Analysis domains

  • Sleep architecture
  • Sleep microstructure
  • Brain activity
  • Cardiac and autonomic dynamics
  • Oxygenation
  • Respiratory burden
  • Movement and activity
  • Head and torso position
  • Acoustic analysis
  • Light exposure
  • Night-to-night variability
  • Multimodal biomarkers
  • Individual algorithm development
5. Build evidence Dashboard · full data lineage

Bring validated outputs into an interactive study dashboard with full data lineage, so teams can interpret results, investigate findings, and make confident decisions.

Neoma participant and recording-history dashboard using synthetic demonstration data

For clinical trials and research collaborations

Personalized positional therapy for CPAP-free Sleep Apnea Care

Aeruna turns positional sleep-apnea assessment into personalized, measurable therapy.

Map how head and torso position affect airway burden, configure vibrational therapy around each patient’s positional phenotype, and monitor response and adherence remotely—helping clinicians unlock a more comfortable path toward CPAP-free care.

1. Assess Multi-night home assessment

A multi-night home assessment characterizes sleep-disordered breathing and the individual positional phenotype.

  • The results help clinicians assess suitability for positional therapy.
  • The results also help estimate the potential benefit before treatment.
Participant wearing the Rekonas headband, chest belt and finger sensor while holding the companion phone app
2. Map burden 360° head and torso profile

The assessment produces a 360° map of AHI and hypoxic burden across the observed head and torso positions.

  • Red regions in the accompanying maps mark positions associated with higher burden.
  • A clear position-dependent pattern may indicate suitability for positional therapy.
Position-resolved 360-degree burden maps for the head and torso
3. Define zones Clinician-selected avoidance zones

Clinicians use the map to define patient-specific avoidance zones.

  • The accompanying image shows an example derived from the measured torso burden.
  • The selected zones are programmed into the headband or chest belt for detection during sleep.
Torso burden map with a clinician-selected position range marked for avoidance
4. Deliver positional therapy Personalized vibration cues

Both the headband and chest belt contain a vibration motor and can provide positional therapy.

  • When the device detects an avoidance-zone position, its motor delivers progressively stronger vibration cues.
  • The cues prompt a move to a lower-burden position while supporting adaptation and minimizing sleep disruption.
Vibration motor used in the Aeruna headband and chest belt
5. Reassess Treatment response over time

OSA severity and its positional pattern can change over time.

  • Reassessment confirms treatment response and guides adjustments to the avoidance zones.
  • Reassessment is particularly relevant after substantial weight loss—including with GLP-1–based medications—or changes in comorbidities.

In clinical validation · Not yet certified

Clinical progress

A working system, now in clinical validation.

Multi-night feasibility work has been completed. Adult and pediatric validation studies are underway in Basel.