Check the solutions we focus on below
We are the healthcare-Hub for elderly and people with needs. monitors/detectors/Sensors/Aarms, reminds, alerts, and contacts caregivers or professionals when you need.
Why do we care about fall detection data trend analysis?
We use fall detection radar to provide 11 sets of characteristic data for target monitoring every 200ms. After the data of the action process is collected, a trend analysis and identification model is formed, which has the following significance.
Share analysis results and trend reports with other users by embedding visualizations into dashboards or mobile apps, providing valuable suggestions for medical professionals.
Analyze behavior patterns, identify abnormal values, and check trends through data groups.
Nursing staff can predict system behavior and respond in advance.
Intuitively identify anomalies in time series data, such as position anomalies, speed anomalies, height anomalies, etc.
The charts in the data group can be used to check the dynamics and understand the influencing factors of the anomalies.
Filter, group and summarize data from different dimensions in the data group to draw meaningful conclusions.
What devices do you need to your elderly homecare solutions?
1. Fall monitoring/fall X&Y coordinate report
2. Trajectory monitoring
3. People counting
4. Occupied, unoccupied, stationary, moving, small movements, large movements
5. Heart rate monitoring
6. Respiration monitoring
7. Statistics of different sleep levels
8. Getting in and out of bed
9. Do you have other requirements?
In the social care, communities, and nursing homes, technology has significant advantages in monitoring the vital signs of the elderly. It can track the elderly’s heart rate, blood pressure, breathing and other indicators in real time, and issue timely warnings when abnormalities occur.
In the family, children can keep track of the health of the elderly at any time; the community can integrate data to provide precise care; and nursing homes are convenient for medical staff to manage efficiently.
Through scientific and technological means, sudden illnesses can be prevented, the elderly’s sense of security can be improved, and a basis can be provided for personalized care, effectively protecting the life and health of the elderly and improving their quality .
Aging technology, also known as AgeTech uses technology to help older adults live independently and safely. It includes smart home devices, wearable devices, and health monitoring tools.
Examples of aging technology
Goals of aging technology
To help older adults maintain their therapeutic medication levels .
To help older adults stay connected
To deliver health and community services
To help Elderly age in place
To help Elderly cognitive health
To help Elderly physical health
To help Elderly nutritional health
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Information inside and outside the location range.
Whether there is a person.
Movement status.
Movement information.
Human body distance.
Human body position.
Breathing information.
Heart rate information.
Sleep information.
Information on getting in and out of bed.
Others.
AIoT Digital Healthcare Solutions
Agetech/Agedcare Solutions
Home Care/Social Care Solutions
Longevity Care Solutions
Safety/Security/Preventative Solutions
Technologies
AIoT
4G
WIFI
BLE
ZigBee
Z-Wave
Gateway
Edge Computing
MQTT Broker & AIoT SaaS Platforms
Others
Products & Services
1. mmWave Radars
2. Health Sensors
3. Health Monitors
4. Health Detectors
5. Health Alarms
6. Other devices
7. MQTT Broker & SaaS Servces
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Air quality monitoring is of great significance to human health. It can grasp the concentration of pollutants in the air in real time, as below but not just these.
PM2.5, PM10, TVOC, temperature, humidity, CO2, HCHO, etc.
Through continuous environmental air data monitoring, the potential harm of air to the human body can be evaluated, providing reference for people’s life, rehabilitation and other activities, avoiding harm to the human body when pollution is serious, and taking corrective and preventive measures according to the data.
Long-term monitoring data can also help analyze the relationship between air pollution and disease, assist in the formulation of prevention and control strategies, warn of pollution peaks in advance, reduce the risk of people being exposed to harmful air, and protect the public’s respiratory health
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