Diagnose, prevent and treat through sleep.
Many mental and heart diseases are either rooted in or coexist with instances of poor sleep. For that, Sleep Compass was developed to help diagnose and prevent sleep disorders, and to help people improve the quality of their lives.
Any condition in which there is a problem with sleep. Sleep disorders can lead to accidents and increase the risk of lifestyle-related diseases and mental illness.
Any condition in which a change in brain functions results in a significant emotional or behavioral dysfunction, like schizophrenia, depression, bipolar disorder, et cetera.
Central Nervous System Diseases are dysfunctions of the brain that cause the primary symptoms in a variety of diseases, including Alzheimer's Disease, Parkinson's Disease, and others.
A condition in which a child shows behavioral or emotional characteristics from infancy resulting from differences in the way their brain works that are present from birth. Examples include autism and ADHD.
Concurrence of sleep disorders occur in many cases
Sleep deprivation can lead to:
Nighttime drunken-like stuporand alertness,
even among normal sleepers
Mid-sleep awakening can result in intoxication-like states after 14.5 hours
An 11.5x higher rate for
accidents for sleep less than 4 hours
When compared with the accident rates of drivers who slept more than 7 hours
Increased chances for depression,
plus decreased productivity
Scores drop from 7-8 hours of sleep to both deficient and excessive
Increased infertility rates by 40%,
and a 2x chance of miscarriage
Women who are sleep deprived and keep irregular hours have higher rates of infertility and are nearly twice as likely to miscarry within three months of conception
Treating sleep deprivation can lead to:
Improved overall mental health
Sleep deprivation interferes with the prefrontal cortex and activates the ectoparietal cortex
In certain cases, improved physical
health and weight management
Average increase of 1.2 hours, average decrease in calorie intake of 270Kcal/day
We need to reduce the difficulty ofmeasuring sleep.
Understanding the specifics of an individual's sleep is essential, but current measurement techniques are cumbersome, time-consuming and expensive. Accurate measurement often requires spending an entire night in a hospital for PSG polygraph measurements. Similarly, EEG (electroencephalograph) measurements takes several hours and in-person manual supervision by a trained technician.
Needing specialized equipment
▶ Hospitalization required, limited testing locations, expensive Needing specialized fitting and analysis
▶ Trained technician must be present, data for a single night only Single Overnight Measurement
▶ Daily changes in rhythms cannot be observed, and leave out the effect of daytime activities
Innovating the world's most accurate
sleep measurement technology
* Specificity is the probability that a wearable device and algorithm can determine wakefulness.
Our biggest advantage over conventional measurement techniques is that our wristwatch-like wearable can be worn by anyone, and the measurement of sleep is close to brainwave monitoring.
Paired with our proprietary analysis algorithms, this device also eliminates the need for overnight hospital stays, making it possible to measure the quantity, rhythm and quality of your sleep without interrupting your daily life at home, where you are most accustomed to sleeping.
Business Development Roadmap
Sleep Compass provides an easy, convenient way to accurately measure objective sleep data. Additionally, we are developing even more services that will lead to better solutions for various groups of sleep problems.
Why you should check up on your employees' sleep health
Presently, the Government of Japan is promoting health management in line with social trends encouraging the improvement of employee health.
①Legislative and Policy Developments
The expectations for the prevention of lifestyle-related diseases are growing as the relationship between sleep and mental health care attracts more attention from both academics and the government alike. In time, we expect to see the utilization of sleep data towards the diagnosis, treatment and prevention of lifestyle diseases, as well as in areas such as annual health checkups and insurance assessments.
By utilizing sleep health checkups, companies can reach employees who need support like never before. For instance, for those individuals working long hours in high-stress jobs, we can build models that show the relationship between insomnia and absenteeism, making it possible to evaluate solutions from both the individual and group perspectives. Or, for those who simply need improvement, we can provide sleep hygiene instruction and mindfulness tips to help people sleep better, and in doing so increase productivity.
Clinical research begins on sleep medicine
At present, we have already begun multiple clinical studies on sleep medicine, as well as collaborative studies with dozens of opinion-leading physicians on various diseases related to sleep. We are also collaborating with pharmaceutical companies for the purpose of confirming the actual efficacy of medication, and obtaining real-world data on diseases for some of these studies.
Joint research on simplified diagnosis with the Department of Sleep and Respiratory Medicine at Toranomon Hospital
We are looking to collect and analyze data using our devices towards developing wearable-based diagnosis methods for sleep apnea syndrome.
Joint development of health care services with the Sakura Juji Group
We are currently developing medical, nursing care, and preventive medicine services including sleep health checkups at Sakura Juji Group health checkup institutions nationwide, as well as through telemedicine.
Joint research with the Department of Pediatric Neurology at Kurume University Hospital
We have begun research into the characteristics of pediatric neurology patients (e.g., autism spectrum disorder and ADHD) through the collection and analysis of sleep data.
Joint research with the Department of Neurology at the Osaka University Graduate School of Medicine
We have begun research on the development of algorithms for identifying and judging motor and non-motor symptoms through wearable devices, ePRO for Parkinson's Disease patients, and the application of this information by clinicians in their fields of medicine.