HealthcareWearableAIIoT

Fingertip Health Monitor with an AI Health Assistant

Designed and built by Aeonix for a client in Australia: a lead-less, patch-less fingertip wearable that tracks key vital signs in real time, with a phone app, secure cloud sync and an AI health assistant.

Fingertip Health Monitor with an AI Health Assistant
7
Health parameters from one fingertip device
0
Cuffs, leads or patches needed
1 month
Of history in the app
Real-time
Alerts on abnormal readings
Client countryAustralia
ClientHealth-technology company, Australia
DeploymentHome health and remote patient monitoring
TechnologiesBiomedical sensing · Embedded systems · Bluetooth · AI · Cloud
StatusWorking device, demonstrated
01

The Challenge

Checking blood pressure, oxygen level, heart rhythm and blood sugar usually takes several separate devices: a cuff, a finger clip, a finger-prick meter, and ECG leads or patches. That is awkward for daily use, and hard on people who need regular monitoring at home.

Doctors and carers also need to see those readings remotely and be told when something is wrong, without the patient having to do anything technical.

02

The Solution

The device is a lead-less, patch-less wearable worn on the fingertip. It estimates heart rate, respiration rate, systolic and diastolic blood pressure, SpO₂ and blood glucose, and monitors ECG and obstructive sleep apnea in real time.

It pairs with a companion phone app over Bluetooth: secure login, live vitals, a month of history and alerts for abnormal readings. Data syncs securely to the cloud, so doctors and nurses can monitor several patients remotely, and an AI health assistant answers health-related questions and helps with assessment.

03

System Architecture

  1. Step 1Wear it on a fingertipA lead-less, patch-less sensor reads vital signs from the fingertip.
  2. Step 2See it on the phoneReadings stream to the app over Bluetooth, with alerts if anything is abnormal.
  3. Step 3Share with the doctorSecure cloud sync lets doctors monitor remotely; an AI assistant answers questions.

Under the hood

Device
  • Fingertip unit, 40 × 36.5 × 30 mm, lightweight for long wear
  • 500 mAh battery, USB-C charging (5 V, 0.5 A input)
  • Biomedical sensing for blood pressure, SpO₂, heart rate, respiration and ECG
  • Non-invasive blood glucose estimation
Connectivity & cloud
  • Bluetooth link to the phone app
  • Two-way secure data transmission with AWS cloud
  • Secure login; each user's data available anytime
App & AI
  • Live vitals, one-month history and trend comparison
  • Alerts when a monitored reading is abnormal
  • AI health assistant for health queries and assessment
  • Multi-patient monitoring for doctors and nurses

Hard problems we solved

The problemVital signs without cuffs, leads or patchesHow we solved itAll parameters come from one fingertip sensor, so there is no cuff to inflate and nothing to stick on, and the user can keep wearing it and move freely.
The problemBlood glucose without a finger prickHow we solved itThe device estimates blood glucose non-invasively from the fingertip, so regular checks don't need a needle.
The problemDoctors need the data without the patient's effortHow we solved itReadings sync securely to the cloud, so doctors and nurses can follow several patients remotely, and the app flags abnormal readings on its own.
04

Key Capabilities

  • Cuffless blood pressure estimation, systolic and diastolic
  • Heart rate, respiration rate and SpO₂ in real time
  • Non-invasive blood glucose estimation, with no finger prick
  • ECG monitoring and obstructive sleep apnea detection
  • AI health assistant for health-related questions
  • Remote monitoring of several patients by doctors and nurses
05

Impact

  • One fingertip device instead of several separate measurements
  • Lead-less and patch-less, so it is comfortable for long wear and the user can move freely
  • The app alerts the user when a reading is abnormal
  • Doctors can check a patient's vitals from anywhere, at any time
  • Simple enough to use without expert supervision
06

Tech Stack

Biomedical SensorsEmbedded SystemsBluetoothMobile AppAWS CloudAI Assistant

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