A non-contact digital elder care platform based on radar

Monidar digital elder care system will support and empower digital transformation and aging adaptation among American elderly care institutions.

Typical Scenarios

What Can We Do?

Real-time monitoring of life indicators of the elderly

When the elderly need care in private space, Monidar can provide effective and reliable protection to ensure the elderly can be treated in a timely manner.

Life Indicators under monitoring
Apnea, tachypnea, tachycardia, bradycardia, falls, etc.

Accurate Data Monitoring
Monidar VS Normal Medical monitor: The difference of resting respiration rate is + / – 1 breath / min; Resting heart rate difference + / – 2 BPM / min

Continuously monitor the abnormal behaviors of the elderly

We will better understand the current status of the elderly, timely find and provide specific help.

Which kind of abnormal behaviors are monitored?
Out-of-bed for a long time at night, exceeding normal bedtime, leaving bed many times at night, etc.

Find out what happens behind the elderly’s sleep?

During sleep, Monidar will continuously record the sleep data of the elderly, including: sleep onset time, light sleep duration, deep sleep duration, number of times out of bed, length of time out of bed, number of body movements, abnormal heart rate/breathing and other information.

All of these will be recorded, and through the sleep indicator analysis, Monidar will give professional sleep guidance and recommendations.

More Functions

Heart rate monitoring

Real-time alerts for heart rate changes and abnormal heart rate

Respiratory monitoring

Real-time alerts for respiratory changes and abnormal breathing

Fall monitoring

Monitor falls and assess the fall risk index

Monitoring of living conditions

In bed/out of bed/in the toilet/awake/asleep

sleep Analysis

Keep track on deep sleep, light sleep, out-of-bed, body movement, heart rate, breathing, etc. during sleep.

sentiment value assessment

The overall state of the elderly is evaluated according to the sleep indicators of the elderly.

Health Records

It includes sleep duration data, vital signs data, behavior data, assessment data, etc

Nurse performance evaluation

Develop a more reasonable performance evaluation system based on the response time to abnormality

API integration

System integration under B2B mode