AI Based Remote Heart Monitoring Solution

Our solution enables medical professionals to monitor patients’ heart rhythms on a remote basis based on our wireless wearable devices and to diagnose arrhythmia more accurately with our AI analytics.

By

Huinno

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Social causes

Beneficiaries

SDGs covered

Endorsed by

MYSC (Merry Year Social Company)

MYSC is a leading social innovation consultancy & impact investor working mainly in Korea through impact network and partnership.

Market of Implementation

  • Indonesia
  • , Malaysia
  • , Singapore
  • , Vietnam

Problem

Existing outpatient ECG monitoring solution, Holter monitor, is uncomfortable to wear with several wires and a bulky recording device and it is not as accurate as Huinno’s solution given 1) it supports only 24-48 hours of monitoring and 2) its traditional algorithm-based analytics software presents less than 60% accuracy. Holter monitors and the analytics software are also costly ($50k~$150k), and therefore not affordable for small and medium sized clinics. Given the poor access to public and low accuracy, patients cannot be easily diagnosed arrhythmia in time, which is translated into high medical costs for both providers and households to take care of stroke patients suffering from delayed detection of arrhythmia.

Solution

  1. Huinno’s wearable devices are either a wristband or a chest patch without wires and supports real-time transmission of data via bluetooth and wifi/LTE. Patients can measure ECG 24/7, all year around, whenever they want.
  2. Huinno’s MEMO AI analytics is based on deep neural network boasting 93-98% accuracy in arrhythmia detection. It is also designed to save time for medical professionals when they review the patient data and make a diagnosis.
  3. Huinno’s solution helps to save costs for both the providers and patients by early detection of arrhythmia. Atrial fibrillation is associated with a fivefold increase in the risk of ischemic stroke and is found in a third of all ischaemic strokes.

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