How artificial intelligence can improve your sleep

Artificial intelligence (AI) is changing almost every aspect of healthcare and assisting in many applications. From reducing the time it takes for doctors to diagnose diseases to autonomously managing the medical equipment supply chain, artificial intelligence eliminates the lag required for humans to recognize, process, and respond to changing conditions. The speed of processing data with technology is getting faster and faster. Coupled with the Internet of Things and ever-increasing connections, artificial intelligence is continuously using data to evaluate and improve the quality of the applications it serves.

Author: Adam Kimmel

introduction

Artificial intelligence (AI) is changing almost every aspect of healthcare and assisting in many applications. From reducing the time it takes for doctors to diagnose diseases to autonomously managing the medical equipment supply chain, artificial intelligence eliminates the lag required for humans to recognize, process, and respond to changing conditions. The speed of processing data with technology is getting faster and faster. Coupled with the Internet of Things and ever-increasing connections, artificial intelligence is continuously using data to evaluate and improve the quality of the applications it serves.

An emerging application of artificial intelligence is to assist in sleep tracking, monitoring and improvement. Improving sleep has many benefits, such as improving work efficiency, strengthening the immune system and heart health, and improving overall well-being. Moreover, lack of adequate sleep not only makes people feel sleepy, but can also lead to the worsening of diabetes, causing weight gain and blood pressure, weakening the immune system, increasing the risk of heart disease, and causing other problems. Although the pursuit of the best rest is worthy of effort, to achieve this goal requires significant technological progress. In order to understand how technology can improve sleep, let’s first look at the stages of sleep and how the body uses rest time to recover, so as to determine how to improve artificial intelligence.

Stages of sleep

Sleep, as a physical process, belongs to the category of neuroscience. Although it looks similar to autonomous driving, sleep is an active brain process. This is important because any enhancement or change to the sleep cycle must be premised on not interfering with the active work of the brain. In order to find the best way to participate, scientists used electroencephalography (EEG), nuclear magnetic resonance (MRI) and other tools to draw discrete sleep states and create benchmark conditions.

Sleep activates a series of neural networks in unique ways in four different stages:

Sleep stage 1: N1 (1-5 minutes)
Sleep stage 2: N2 (10-60 minutes)
Sleep stage 3: Slow wave sleep (SWS, 20-40 minutes)
Sleep stage 4: Rapid eye movement (REM) sleep (10-60 minutes)

Among these stages, slow wave sleep (SWS) lasts about 20-40 minutes per cycle and is the deepest stage of sleep. After SWS is stage 4-rapid eye movement (REM) sleep, which is a fairly active sleep period, and studies have shown that it may help with memory and performance. The four phases lasted about 90 minutes in total. If subjects complete these stages satisfactorily, they will get the most benefit. In other words, if the sleep process is interrupted, the maximum benefit will not be obtained.

The definition of these stages also explains why 7-8 hours of sleep is necessary. During sleep, the body processes a total of five complete sleep cycles. The problem is that if these five cycles are not fully utilized, subjects with sleep problems will not be able to get all the benefits from this critical physical process. But even if they don’t get a full night’s sleep, a customized sleep experience can make their sleep of any length more beneficial. So, how does the technology work?

How technology improves sleep

Sensors are the starting point for all artificial intelligence applications. Sensors monitor everything from heart rate to motion and sound, collect data and feed it to a cloud-based processor that uses artificial intelligence to monitor the data over a period of time. Through these data, the trends and patterns of the subjects’ sleep habits can be discovered, and finally the AI ​​technology can predict the cycle time of sleep. As with any regression-based process, the more data the processor has to process, the more accurate its predictions will be. Once the AI ​​technology has processed enough sleep data, the engineer can establish a separate sleep cycle for the subject.

Monitor initial sleep conditions

Once the algorithm determines the unique sleep cycle, AI can work to optimize the sleep process in various ways. One of the earliest methods is to time the sleep cycle to avoid waking up in the middle of the cycle, especially during slow wave sleep. Waking up in stage 3 often makes the subject feel groggy and over-fatigued. The following example illustrates how AI can change the traditional way of getting up:

Suppose you need to wake up at 7 in the morning, if you use a normal alarm clock, you will set it exactly to ring at 7 in the morning. If your sleep tracking device wants to wake you up at the best time, it will wake you up after you complete the last 90-minute cycle, which ends before the wake-up time you specify. Therefore, even if you wake up early, you may feel that your sleep time is longer than the actual time, because you wake up after the cycle is complete. Although traditional alarm clocks don’t know this, artificial intelligence can ensure that the alarm time is synchronized with your unique cycle.

Identify sleep disturbance factors

Another way for artificial intelligence to improve sleep is to find out factors that may interfere with sleep at night. These factors may be environmental factors or potential health factors. Engineers can discover these factors by monitoring the heart and lungs. The most important result of artificial intelligence in improving sleep is to ensure that the sleeping environment is conducive to people staying asleep at night, especially during the active cycle. Some control methods that artificial intelligence can use are blinds to maintain the light/dark cycle.This method takes advantage of the body’s desire and intelligence to synchronize with the circadian cycle[昼夜节律]Lighting helps the body to be more alert when there is sufficient light, and to feel tired when the bedroom is dark.

Other mechanisms to improve sleep include temperature control and noise control. Using data collected over a long enough period of time, you can observe the body’s response to thunder or other noises during sleep, and change the surrounding conditions during sleep accordingly. You can even use technology to make a “smart pillow” connected to a shared device, which can be used as a wake-up alarm for only one person.

Artificial intelligence can help diagnose sleep disorders

In addition to helping subjects improve their sleep quality, artificial intelligence can also help doctors and medical staff diagnose sleep disorders. Sleep disorders are an increasingly common problem faced by people all over the world, which can cause serious illness and death. One of the main dangers of chronic sleep deprivation is that it can cause sleep disorders.

The purpose of sleep analysis is to discover trends towards sleep disorders by collecting and processing enough information during sleep. For example, the University of Copenhagen in Denmark has developed a neural network called U-Sleep, which is an AI platform for sleep improvement open to the public. The scientists collected some basic information through a study of 15,000 participants. This information constitutes a comprehensive data matrix that can be used to compare the symptoms of known sleep disorders. For example, sleep specialists can compare changes in oxygen concentration or patterns of apnea with sleep apnea, insomnia, and other diseases to find symptoms. What’s even more happier is that the predictive power of artificial intelligence can infer observed patterns before symptoms appear, and find them before problems occur.

Concluding remarks

Artificial intelligence is changing the human experience and helping to provide technological advantages to improve the overall quality of human life. For example, it can monitor the initial sleep conditions, draw a sleep state map and find out sleep disturbing factors, and then quietly customize the local environment of the sleeping place according to the subject’s preferences. Therefore, artificial intelligence can help people enhance their sleep experience while maintaining a normal sleep cycle, diagnose and predict sleep disorders, and improve concentration, alertness, and physical health.

Author: Adam Kimmel

introduction

Artificial intelligence (AI) is changing almost every aspect of healthcare and assisting in many applications. From reducing the time it takes for doctors to diagnose diseases to autonomously managing the medical equipment supply chain, artificial intelligence eliminates the lag required for humans to recognize, process, and respond to changing conditions. The speed of processing data with technology is getting faster and faster. Coupled with the Internet of Things and ever-increasing connections, artificial intelligence is continuously using data to evaluate and improve the quality of the applications it serves.

An emerging application of artificial intelligence is to assist in sleep tracking, monitoring and improvement. Improving sleep has many benefits, such as improving work efficiency, strengthening the immune system and heart health, and improving overall well-being. Moreover, lack of adequate sleep not only makes people feel sleepy, but can also lead to the worsening of diabetes, causing weight gain and blood pressure, weakening the immune system, increasing the risk of heart disease, and causing other problems. Although the pursuit of the best rest is worthy of effort, to achieve this goal requires significant technological progress. In order to understand how technology can improve sleep, let’s first look at the stages of sleep and how the body uses rest time to recover, so as to determine how to improve artificial intelligence.

Stages of sleep

Sleep, as a physical process, belongs to the category of neuroscience. Although it looks similar to autonomous driving, sleep is an active brain process. This is important because any enhancement or change to the sleep cycle must be premised on not interfering with the active work of the brain. In order to find the best way to participate, scientists used electroencephalography (EEG), nuclear magnetic resonance (MRI) and other tools to draw discrete sleep states and create benchmark conditions.

Sleep activates a series of neural networks in unique ways in four different stages:

Sleep stage 1: N1 (1-5 minutes)
Sleep stage 2: N2 (10-60 minutes)
Sleep stage 3: Slow wave sleep (SWS, 20-40 minutes)
Sleep stage 4: Rapid eye movement (REM) sleep (10-60 minutes)

Among these stages, slow wave sleep (SWS) lasts about 20-40 minutes per cycle and is the deepest stage of sleep. After SWS is stage 4-rapid eye movement (REM) sleep, which is a fairly active sleep period, and studies have shown that it may help with memory and performance. The four phases lasted about 90 minutes in total. If subjects complete these stages satisfactorily, they will get the most benefit. In other words, if the sleep process is interrupted, the maximum benefit will not be obtained.

The definition of these stages also explains why 7-8 hours of sleep is necessary. During sleep, the body processes a total of five complete sleep cycles. The problem is that if these five cycles are not fully utilized, subjects with sleep problems will not be able to get all the benefits from this critical physical process. But even if they don’t get a full night’s sleep, a customized sleep experience can make their sleep of any length more beneficial. So, how does the technology work?

How technology improves sleep

Sensors are the starting point for all artificial intelligence applications. Sensors monitor everything from heart rate to motion and sound, collect data and feed it to a cloud-based processor that uses artificial intelligence to monitor the data over a period of time. Through these data, the trends and patterns of the subjects’ sleep habits can be discovered, and finally the AI ​​technology can predict the cycle time of sleep. As with any regression-based process, the more data the processor has to process, the more accurate its predictions will be. Once the AI ​​technology has processed enough sleep data, the engineer can establish a separate sleep cycle for the subject.

Monitor initial sleep conditions

Once the algorithm determines the unique sleep cycle, AI can work to optimize the sleep process in various ways. One of the earliest methods is to time the sleep cycle to avoid waking up in the middle of the cycle, especially during slow wave sleep. Waking up in stage 3 often makes the subject feel groggy and over-fatigued. The following example illustrates how AI can change the traditional way of getting up:

Suppose you need to wake up at 7 in the morning, if you use a normal alarm clock, you will set it exactly to ring at 7 in the morning. If your sleep tracking device wants to wake you up at the best time, it will wake you up after you complete the last 90-minute cycle, which ends before the wake-up time you specify. Therefore, even if you wake up early, you may feel that your sleep time is longer than the actual time, because you wake up after the cycle is complete. Although traditional alarm clocks don’t know this, artificial intelligence can ensure that the alarm time is synchronized with your unique cycle.

Identify sleep disturbance factors

Another way for artificial intelligence to improve sleep is to find out factors that may interfere with sleep at night. These factors may be environmental factors or potential health factors. Engineers can discover these factors by monitoring the heart and lungs. The most important result of artificial intelligence in improving sleep is to ensure that the sleeping environment is conducive to people staying asleep at night, especially during the active cycle. Some control methods that artificial intelligence can use are blinds to maintain the light/dark cycle.This method takes advantage of the body’s desire and intelligence to synchronize with the circadian cycle[昼夜节律]Lighting helps the body to be more alert when there is sufficient light, and to feel tired when the bedroom is dark.

Other mechanisms to improve sleep include temperature control and noise control. Using data collected over a long enough period of time, you can observe the body’s response to thunder or other noises during sleep, and change the surrounding conditions during sleep accordingly. You can even use technology to make a “smart pillow” connected to a shared device, which can be used as a wake-up alarm for only one person.

Artificial intelligence can help diagnose sleep disorders

In addition to helping subjects improve their sleep quality, artificial intelligence can also help doctors and medical staff diagnose sleep disorders. Sleep disorders are an increasingly common problem faced by people all over the world, which can cause serious illness and death. One of the main dangers of chronic sleep deprivation is that it can cause sleep disorders.

The purpose of sleep analysis is to discover the trend towards sleep disorders by collecting and processing enough information during sleep. For example, the University of Copenhagen in Denmark has developed a neural network called U-Sleep, which is an AI platform for sleep improvement open to the public. Scientists collected some basic information through a study of 15,000 participants. This information constitutes a comprehensive data matrix that can be used to compare the symptoms of known sleep disorders. For example, sleep specialists can compare changes in oxygen concentration or patterns of apnea with sleep apnea, insomnia, and other diseases to find symptoms. What’s even more happier is that the predictive power of artificial intelligence can infer observed patterns before symptoms appear, and find them before problems occur.

Concluding remarks

Artificial intelligence is changing the human experience and helping to provide technological advantages to improve the overall quality of human life. For example, it can monitor the initial sleep conditions, draw a sleep state map and find out sleep disturbing factors, and then quietly customize the local environment of the sleeping place according to the subject’s preferences. Therefore, artificial intelligence can help people enhance their sleep experience while maintaining a normal sleep cycle, diagnose and predict sleep disorders, and improve concentration, alertness, and physical health.

The Links:   NL128102AC31-02ECM300DY-12NF

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