With its unique advantages, millimeter-wave radar has irreplaceable value in human vital sign monitoring and sleep improvement, providing a solid guarantee for people’s healthy life, and also opening up a new direction for the development of the future health management field.

A. Features of sleep monitoring based on AIOT millimeter wave technology

1. Non-contact monitoring

AIOT millimeter wave technology senses the state of the human body by emitting millimeter waves and receiving reflected waves, without direct contact with the human body.

In the sleep monitoring scenario, this feature avoids the sense of restraint brought by traditional wearable devices, allowing users to sleep in a natural and comfortable state without affecting the quality of sleep due to wearing devices.

2. Multi-parameter synchronous monitoring

It can simultaneously monitor heart rate, breathing and sleep conditions (such as sleep stages, number of turns, etc.) in all directions.

Millimeter wave radar can capture subtle physiological changes in the human body, convert these changes into corresponding electrical signal data, and accurately obtain various physiological indicators through subsequent AI analysis.

B. Advantages

1. High accuracy

Compared with traditional sleep monitoring methods, millimeter wave technology is not affected by factors such as ambient light and temperature, and can more accurately capture subtle changes in heart rate and breathing.

For example, when identifying sleep apnea events, it can accurately identify each pause and recovery of breathing, providing a reliable basis for the diagnosis of sleep breathing diseases.

2. Data integrity:

It can continuously record the data of the entire sleep cycle and fully present the changes in various indicators during the sleep process.

From the early stage of falling asleep to deep sleep and then to the rapid eye movement period, the data of each stage can be recorded in detail, providing sufficient data support for a comprehensive analysis of sleep quality.

3. Convenience:

No tedious preparation of wearable devices is required. Users only need to fall asleep normally and the device will automatically start monitoring.

For the elderly, children or people who do not like to wear devices, this convenient monitoring method is more acceptable and conducive to long-term sleep health management.

C. Data collection process

1. Signal transmission and reception

The millimeter wave radar transmits millimeter wave signals to the sleeping area, and these signals will be reflected when they encounter the human body.

The radar receives the reflected millimeter waves, and the signal contains information such as the position, movement, heart rate and breathing of the human body.

2. Signal conversion and preliminary processing

The received reflected signal is converted into an electrical signal, and after preliminary amplification, filtering and other processing, noise interference is removed and useful physiological signal features are extracted.

3. Data transmission and in-depth analysis

The processed signal data is transmitted to the cloud or local analysis platform through the Internet of Things, and the AI algorithm is used to deeply analyze the data, identify the sleep stage, calculate indicators such as heart rate and respiratory rate, and generate a sleep report.

D. Significance in home care and social care

1. Home care

◦ Health warning:

You can understand sleep health through sleep monitoring, and promptly discover possible sleep problems, such as dyspnea and unstable sleep, to prevent potential health risks.

For the elderly at home, their heart rate and breathing status during sleep can be monitored in real time. If there is an abnormality, it can be detected and measures can be taken in time to ensure the safety of the elderly at night.

◦ Personalized sleep improvement

Based on the monitoring data, develop personalized sleep improvement plans for family members, such as adjusting work and rest time, improving the sleeping environment, etc., to improve the sleep quality of the whole family.

2. Social care

◦ Public health monitoring

Large-scale application of sleep monitoring technology in nursing homes, community medical service centers and other places can collect sleep data from a large number of people, provide data support for public health research, help understand the sleep health status of different populations, and formulate targeted public health policies.

◦ Optimization of medical resources:

Through sleep monitoring, potential patients with sleep-related diseases can be found in advance, and they can be guided to seek medical treatment in time to avoid worsening of the disease, thereby optimizing the allocation of medical resources and improving medical efficiency.

E. Challenges

1. Privacy issues

Millimeter wave technology can penetrate some light obstacles, which may cause concerns about privacy leakage.

In a home environment, how to ensure that monitoring data is not illegally obtained and abused and to protect the privacy and security of users is a key issue in promoting its application.

2. Cost issues

At present, the cost of AIOT millimeter wave technology equipment and related supporting analysis software is relatively high, which limits its large-scale popularization in home care and social care.

Reducing costs and improving cost-effectiveness are important challenges for expanding market applications.

3. Technical standardization:

There is a lack of unified millimeter wave sleep monitoring technical standards in the market. The monitoring data of the equipment may be different, which affects the universality and comparability of the data and also brings difficulties to medical diagnosis and data analysis. It is urgent to establish unified technical standards and specifications.

We are constantly optimizing improvements in these aspects, and gaining high global recognition is our greatest motivation.