Cough Detection Wearable
We developed an ultra-compact wearable platform that combines an embedded AI system with continuous on-body sensing to identify, categorize, & log respiratory signals, transforming patient events into structured clinical monitoring data.
- On Device-AI
- ARM Cortex-A7 + M4
- Cloud Over WIFI
- Ultra-Compact PCB
From Body Signal to Clinical Insight
Our wearable device runs a complete sense-reason relay loop system utilizing a dual-core embedded compute system to process respiratory signals locally prior to transmission of structured clinical datasets to the cloud.
Sense
There are associated on-body sensors that help in assessing cough detection rate, wheezing, respiratory patterns, heartbeats, & body temperature as well.
Reason
With the embedded AI on the ARM Cortex A7/ M4 architecture that is able to classify symptoms & discrete cough counts on a real-time basis.
Record
Here, patient voice recordings are tracked alongside sensor datasets, establishing a more complete respiratory profile setup beyond sensor measurements.
Relay
With the associated companion mobile app, there are logs of sensor datasets that push them into the cloud server via WiFi for clinical analysis and reviews.
Edge Intelligence in a Tiny Footprint
Running an AI symptom detection system on a battery-powered wearable technology is quite challenging. It needs the right silicon, careful power budgeting settings, & also on-device sensor fusion for real-time respiratory monitoring.
Dual Core Compete
There is a balance between AI work process & power efficiency with a battery-operated PCB built on ARM Cortex-A7 (application) & M4 (real-time).
Multi-Symptom Sensing
This helps in detecting cough rates, wheeze, respiration patterns, heart-beat rates, body temperatures, & overall total cough events for symptom analysis.
On-Device AI
With the embedded intelligence, there is symptom classification with no dependency on any kind of cloud links in the respiratory space.
Voice Capture
This allows patients to record voice feedback, complementing sensor data for a richer clinical context that helps in analysing clinical aspects.
Connectivity
The companion mobile app (in Android & iOS) configures the device, provides respiratory logs, & synchronizes records to the cloud over WiFi.
Form & Power
The ultra-compact, battery-powered wearable system is designed to be battery-operated & optimized for all-day continuous monitoring.
:- NXP iMX7ulp · Mediatek
Turning Respiratory Symptoms Into Trackable Data
The continuous respiratory monitoring & tracking process offers an objective symptom dataset that actually goes beyond a patient self-reporting system, enabling precision, proper analysis & prior clinical intervention.
Respiratory Monitoring
Continuous respiratory tracking for COPD, asthma, and recovery patients, helping clinicians monitor cough frequency and wheeze pattern changes accurately.
Remote Clinical Trials
Timestamped respiratory symptom data is securely streamed to the cloud, replacing subjective patient diaries with objective sensor-based monitoring.
Early-Warning Detection
On-device AI continuously monitors respiratory patterns, helping identify worsening symptoms early for faster intervention and proactive patient care.
We engineered the PCB, embedded the dual-core compute, trained the symptom-detection models, and built the companion app. If your concept needs intelligence at the edge in a tiny footprint, we’ve already solved that problem.