Device Management Module; align to hospital workflow, sensor agnostic
Highly configurable IoT Features (Low-code design architecture)
Real-time Alarm and logic configurable
Events capturing and trending
24/7
real-time monitoring
0GB+
data size of “live” sensors upload data
0
hours of “live” sensors run-time utilization
0M+
of “live” sensors messages event
Biomechanical Wearable
Instant Gait and Strength measurement to ensure correct type and intensity
BioPacer Automated Gait & Strength Analyzer
BioPacer Automated Gait
& Strength Analyzer
for use by Clinicians and Hospital
01.
Wearable Device
02.
Open SmartApp
03.
Walk 20 steps
04.
Check your result
Bed-exit Fall Prevention System
Specifications:
Light-weight
Wall socket powered
Wireless communication (Bluetooth or wifi)
Specifications:
On-board processor & embedded weight sensor across the bed
Response rate 1sec.
01.
Smart sensors, with IoT User Interface and data storage of sensor data
02.
Conformal to any bed, flat-bed or elevated hospital bed
03.
Thin profile, can slip-in beneath any mattress
04.
Full bed sensor. Configurable alert when patient at any section on bed
05.
Highly customizable (Alarm ARM/ DISARM)
Alarm only at specific time of the day/night or only certain type of bed-exit
Bed Sensor Intro Video
Customized Exercise
To suit individual fitness level
Full Feature App
Social, trending and infotainment
Virtual Coaching
Additional health/exercise knowledge
Biomechanical Wearable
Instant Gait and Strength measurement to ensure correct type and intensity
Customized Exercise
To suit individual fitness level
Full Feature App
Social, trending and infotainment
Virtual Coaching
Additional health/exercise knowledge
Biomechanical Wearable
Instant Gait and Strength measurement to ensure correct type and intensity
Brought to you by
About Us
We are a Singapore deep-tech start-up, focused in medical device and IoT Technologies. We pioneered an embedded biomechanics algorithm for walking gait and strength measurement used in hospital and nursing home. Achieving higher than 90% detection accuracy for weak gait.
National Awards
iHIS Challenge 2018 Top 20 Awards
(collaboration with National University Hospital Smart Patient Fall Prevention System)
Challenge Winner
Open Innovation Challenge 2021 Winner
We are one of the winners of healthcare challenge with Inventory Management (NUHS)