Neurotechnology & Wearables
DEVSFLOW builds BLE-connected mobile apps that stream EEG, fEMG, EDA, and HR/HRV data in real time, with explicit handling for data integrity, recovery, and research workflows.
Brain-sensing and biometric devices introduce specific requirements for transport, timing, data integrity, recovery, and validation.
BLE-connected biosignal applications commonly encounter:
Our approach coordinates mobile implementation with firmware behavior and the product's data requirements:
Our experience includes neurotechnology, brain-computer interface, and biometric wearable products.
Our team has hands-on experience integrating and streaming these biosignals over BLE in production mobile apps.
Electroencephalography: brain electrical activity
Facial electromyography: muscle activity
Electrodermal activity: skin conductance
Heart rate & heart rate variability
Photoplethysmography: blood volume
Geolocation: spatial context for field studies
Neurotechnology work, from multi-sensor EEG headsets to biometric research platforms.
A mobile app capturing brain activity (EEG) from the frontal lobe and temporal regions, facial expressions (fEMG), electrodermal activity (EDA), heart rate variability (HR/HRV), GPS, and POV camera, all streamed simultaneously over BLE in real time.
The app manages six concurrent BLE data channels with sequence-aware streaming, on-device buffering for intermittent connectivity, and research-grade data export for neuroscience analysis workflows.
Fred Simard, RE-AK Technologies
A mobile application for CLEIO's brain-sensing headset, enabling real-time EEG data capture and visualization. Built for researchers and clinicians who need reliable, continuous neural data streaming from wearable devices.
The app handles automatic device discovery and pairing, live signal quality indicators, session recording with timestamped markers, and cloud sync for multi-site research collaboration.
The interface was designed to make device setup, recording status, and signal quality legible to clinical and research users.
“…a dependable, communicative, and professional consultant…integrated smoothly into the project team, ramped up on the project context efficiently, and consistently delivered against the cadence set by the client.”
What clients say
Thank you for the reliable application you delivered, not a single failure since I've been using it.
Engineering capabilities for neurotechnology and biometric mobile applications.
Custom GATT service integration, MTU negotiation, connection parameter optimization, and multi-peripheral management for complex sensor arrays.
High-throughput data pipelines with sequence verification, gap detection, and measured support for 250 Hz and higher sample rates.
Signal filtering, artifact rejection, feature extraction, and quality metrics computed locally for immediate feedback without cloud latency.
Recording without network connectivity, local persistence, background synchronization, and explicit detection and reporting of data gaps.
Export in EDF+, CSV, and custom binary formats. Timestamped event markers, session metadata, and compatibility with MATLAB and Python.
Extensive testing across Android fragmentation (50+ devices) and iOS versions. BLE stack workarounds for known chipset-specific bugs.
Yes. We often start when firmware is still being iterated on. We'll work directly with your embedded team, test against dev boards, and adapt as your hardware stabilizes. Early engagement actually reduces risk.
Native iOS (Swift) and Android (Kotlin). For BLE-heavy applications, we strongly recommend native over cross-platform because the BLE stacks differ significantly between platforms and native gives us full control over connection behavior.
We maintain a tested device matrix and have workarounds for known chipset-specific issues (Qualcomm, MediaTek, Samsung Exynos). We test on physical devices and have automated BLE integration tests.
That's how we prefer to work. We'll join your communication channels, participate in hardware/firmware reviews, and coordinate protocol changes directly with your embedded engineers.
We design packet sequence verification, local buffering, and session recovery around each product's recording protocol. Reliability is verified per device and workflow rather than claimed as one universal zero-loss number.
It depends on sensor complexity and feature scope, but a typical single-device BLE companion app takes 3-5 months from kickoff to App Store submission. Multi-sensor platforms like Nucleus-Kit are longer.
Technical writing on building mobile apps for EEG, BLE wearables, and biosignal devices.
BLE bandwidth, multi-sensor synchronization, background BLE on iOS, stream integrity, and SaMD.
BLEAligning EEG, EMG, EDA, and other modalities on a unified timeline.
StreamingSequence numbers, retransmission, gap detection, and integrity guarantees.
RegulatoryWhen wellness becomes medical device, IEC 62304, and what auditors look for.
Send the BLE specification, signal characteristics, target platforms, and validation requirements. We can identify the principal mobile engineering risks and an appropriate discovery scope.
