The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~19K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting.

Sleeping

## Overview

Sleeping is a dataset for object detection tasks - it contains Sleeping annotations for 778 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Introduction

Sleeping Statistics: Sleep is crucial for health and consists of multiple stages. Including Non-Rapid Eye Movement (NREM) and Rapid Eye Movement (REM) sleep.

A full sleep cycle lasts about 90 minutes, with adults typically needing 7-9 hours of sleep per night. The body's internal clock, or circadian rhythm, helps regulate sleep-wake patterns influenced by light and darkness.

Sleep hygiene, such as maintaining a regular schedule and creating a quiet, dark environment, is key for restful sleep.

Quality sleep supports cognitive function, mood regulation, and physical health, while chronic poor sleep is linked to various health risks. Factors like stress, diet, and medications can affect sleep quality.

[195+ Pages Report] Global sleeping aids market size expected to reach USD 101.7 Billion by 2026, with CAGR expected to rise by 6.7% between 2020 and 2026. A sleep disorder can affect health, safety, and quality of life. Sleep depravity may affect the overall working of the human body and can severely affect one’s ability to have a healthy lifestyle along with cognitive wellbeing.

Dataset Overview: The Sleep Health and Lifestyle Dataset comprises 15000 rows and 13 columns, covering a wide range of variables related to sleep and daily habits. It includes details such as gender, age, occupation, sleep duration, quality of sleep, physical activity level, stress levels, BMI category, blood pressure, heart rate, daily steps, and the presence or absence of sleep disorders.

Key Features of the Dataset: Comprehensive Sleep Metrics: Explore sleep duration, quality, and factors influencing sleep patterns. Lifestyle Factors: Analyze physical activity levels, stress levels, and BMI categories. Cardiovascular Health: Examine blood pressure and heart rate measurements. Sleep Disorder Analysis: Identify the occurrence of sleep disorders such as Insomnia and Sleep Apnea.

Dataset Columns: Person ID: An identifier for each individual. Gender: The gender of the person (Male/Female). Age: The age of the person in years. Occupation: The occupation or profession of the person. Sleep Duration (hours): The number of hours the person sleeps per day. Quality of Sleep (scale: 1-10): A subjective rating of the quality of sleep, ranging from 1 to 10. Physical Activity Level (minutes/day): The number of minutes the person engages in physical activity daily. Stress Level (scale: 1-10): A subjective rating of the stress level experienced by the person, ranging from 1 to 10. BMI Category: The BMI category of the person (e.g., Underweight, Normal, Overweight). Blood Pressure (systolic/diastolic): The blood pressure measurement of the person, indicated as systolic pressure over diastolic pressure. Heart Rate (bpm): The resting heart rate of the person in beats per minute. Daily Steps: The number of steps the person takes per day. Sleep Disorder: The presence or absence of a sleep disorder in the person (Healthy, Insomnia, Sleep Apnea).

Details about Sleep Disorder Column:

Healthy: The individual does not exhibit any specific sleep disorder. Insomnia: The individual experiences difficulty falling asleep or staying asleep, leading to inadequate or poor-quality sleep. Sleep Apnea: The individual suffers from pauses in breathing during sleep, resulting in disrupted sleep patterns and potential health risks.

ISRUC-Sleep is a polysomnographic (PSG) dataset. The data were obtained from human adults, including healthy subjects, and subjects with sleep disorders under the effect of sleep medication. The dataset, which is structured to support different research objectives, comprises three groups of data: (a) data concerning 100 subjects, with one recording session per subject, (b) data gathered from 8 subjects; two recording sessions were performed per subject, which are useful for studies involving changes in the PSG signals over time, (c) data collected from one recording session related to 10 healthy subjects, which are useful for studies involving comparison of healthy subjects with the patients suffering from sleep disorders.

The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also contain respiration and body temperature. Corresponding hypnograms (sleep patterns) were manually scored by well-trained technicians according to the Rechtschaffen and Kales manual, and are also available.

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Sleeping Aids Market Size 2025-2029

The sleeping aids market size is forecast to increase by USD 47.03 billion, at a CAGR of 7.6% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing technological innovations in Continuous Positive Airway Pressure (CPAP) devices. These advancements aim to enhance user experience and effectiveness, addressing the primary challenge of patient compliance. Furthermore, the use of the internet as a marketing tool and a platform for creating awareness is fueling market expansion. However, the high cost of sleeping aids remains a notable challenge for both manufacturers and consumers.
Companies must maintain a balance between affordability and innovation to cater to the growing demand while maintaining profitability. To capitalize on market opportunities and navigate challenges effectively, strategic business decisions and operational planning should focus on product differentiation, cost optimization, and consumer education. Sleep studies, conducted in sleep centers, help diagnose various sleep disorders, including sleep-disordered breathing, obstructive sleep apnea, and central sleep apnea.

What will be the Size of the Sleeping Aids Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in technology and a growing awareness of the importance of sleep health. Sleep-disordered breathing, including central sleep apnea and obstructive sleep apnea, remains a significant focus, with medical devices such as CPAP and APAP therapy, oral appliances, and BIPAP therapy offering solutions. Daytime sleepiness is a common symptom, leading to the development of tools like the Epworth Sleepiness Scale and Stanford Sleepiness Scale for assessment. Wearable sensors and smartphone apps are transforming sleep monitoring, providing real-time data on sleep stages, sleep architecture, and sleep quality. Sleep fragmentation, respiratory events, and oxygen saturation are critical metrics, while data analytics and AI-powered sleep analysis offer insights into patterns and trends.

Circadian rhythm disorders, mood disorders, and cardiac events are among the various health conditions linked to sleep disturbances. Sleep hygiene, remote patient monitoring, and smart beds are essential components of preventive care. Restless legs syndrome, sleep paralysis, and sleep talking are other sleep-related issues gaining attention. The market dynamics are continuously unfolding, with ongoing research into sleep architecture, sleep efficiency, sleep latency, and sleep diaries. The integration of technology and healthcare is revolutionizing the industry, offering innovative solutions for improving sleep quality and overall health.

How is this Sleeping Aids Industry segmented?

The sleeping aids industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Insomnia
  Sleep apnea
  Primary restless legs syndrome
  Others


Product

  Mattress and pillows
  Sleep apnea devices
  Others


Distribution Channel

  Retail pharmacies
  E-commerce
  Hospital pharmacies
  Drug stores


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The insomnia segment is estimated to witness significant growth during the forecast period. Insomnia, a prevalent sleep disorder, affects approximately 12% of American adults, with up to 50% reporting symptoms at some point during the year. Chronic insomnia, defined as sleep disturbances for three months or more, is a significant health concern. Central sleep apnea, sleep paralysis, cognitive impairment, circadian rhythm disorders, mood disorders, and cardiac events can exacerbate insomnia. Sleep-disordered breathing, including sleep-talking and sleep fragmentation, can also impact sleep quality. Advancements in medical devices, such as CPAP and APAP therapy, oral appliances, and smart beds, offer potential solutions. Remote patient monitoring, wearable sensors, and data analytics enable continuous tracking of sleep patterns and respiratory events.

Bipap therapy, the Epworth Sleepiness Scale, and the Stanford Sleepiness Scale are additional tools used to assess and manage sleep disorders. Insomnia remains a common sleep disorder in the US, affecting millions of adults. Advancements in medical devices, technology, and natural remedies offer potential solutions to improve sleep quality and address underlying sleep disorders. Sleep-promo

The Sleep Heart Health Study (SHHS) is a multi-center cohort study implemented by the National Heart Lung & Blood Institute to determine the cardiovascular and other consequences of sleep-disordered breathing. It tests whether sleep-related breathing is associated with an increased risk of coronary heart disease, stroke, all cause mortality, and hypertension. In all, 6,441 men and women aged 40 years and older were enrolled between November 1, 1995 and January 31, 1998. During exam cycle 3 (January 2001- June 2003), a second polysomnogram (SHHS-2) was obtained in 3,295 of the participants. Over 130 manuscripts have been published investigating predictors and outcomes of sleep disorders.

Survey on Homeless Persons: Homeless Persons by daily hours of sleep and sleeping arrangements. National.

Previous research has shown that sleep deprivation, low quality sleep or inconvenient sleeping times are associated with lower quality of life. However, research of the longitudinal effects of sleep on quality of life is scarce. Hence, we know very little about the long-term effect of changes in sleep duration, sleep quality and the time when individuals sleep on quality of life. Using longitudinal data from three waves of the Czech Household Panel Study (2018–2020) containing responses from up to 4,523 respondents in up to 2,155 households, the study examines the effect of changes in sleep duration, sleep quality and social jetlag on satisfaction with life, happiness, work stress, subjective health and wellbeing. Although sleep duration and timing are important, panel analyses reveal that sleep quality is the strongest predictor of all sleep variables in explaining both within-person and between-person differences in quality of life indicators.

The Sleep Aids Market Report is Segmented by Product (Mattresses and Pillows, Sleep Laboratory Services, Medication, and Other Products), Sleep Disorder (Insomnia, Sleep Apnea, and Other Sleep Disorders), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The Market Provides the Value (USD) for the Above Segments.

In a survey conducted in 2023 among respondents from India, the majority from different generations stated their *************** was the leading factor that helped people sleep better. However, checking the door was closed was the next leading factor for millennials and Gen X. About ** percent of boomers indicated sleeping alone, and ** percent of Gen Z stated complete darkness helped them sleep better.

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of short sleep duration (sleeping less than 7 hours) prevalence among adults aged 18 years and old at county, place, census tract and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for sleeping less than 7 hours is SLEEP.

Global Sleeping Aids market is projected to reach US$128 billion by 2030 growing at a CAGR of 6.9% during 2024�2030 driven by the rising incidence of sleep disorders such as insomnia, sleep apnea, and restless leg syndrome.

Clinical Sleep Health Market Outlook

As of 2023, the global clinical sleep health market size is estimated to be around USD 13 billion, with a projected CAGR of 7.5% from 2024 to 2032, forecasting a market size of approximately USD 25 billion by the end of 2032. The growth of this market is driven by the increasing prevalence of sleep disorders such as sleep apnea, insomnia, and restless legs syndrome, coupled with rising awareness about the health implications of undiagnosed and untreated sleep disorders.

The burgeoning prevalence of sleep disorders is one of the primary growth factors propelling the clinical sleep health market. According to recent studies, millions of individuals globally are affected by sleep-related issues, with conditions like sleep apnea and insomnia being particularly prevalent. The growing health consciousness and the increasing awareness regarding the importance of sleep health are steering individuals to seek medical attention and treatment. This heightened awareness is reflected in the rising number of sleep clinics and specialist physicians, further driving the market's expansion.

Technological advancements and innovations in sleep health devices are also significant contributors to market growth. Companies are continuously developing new devices incorporating advanced technologies to enhance the diagnosis and treatment of sleep disorders. For instance, continuous positive airway pressure (CPAP) devices for sleep apnea and wearable sleep trackers that monitor sleep patterns in real-time are increasingly being adopted. The integration of artificial intelligence and machine learning in these devices is also expected to revolutionize the market by providing more accurate and personalized treatment options.

Another noteworthy factor is the increasing geriatric population, which is more susceptible to sleep disorders. As the global population ages, the demand for effective sleep health solutions is anticipated to rise substantially. Moreover, the growing prevalence of lifestyle-related conditions such as obesity, which are closely linked to sleep disorders like obstructive sleep apnea, further fuels the need for clinical sleep health devices and treatments. The surge in home healthcare and the gradual shift towards remote patient monitoring also play pivotal roles in market growth, as they enable individuals to manage their sleep health more conveniently and efficiently.

Regionally, North America currently dominates the clinical sleep health market due to its advanced healthcare infrastructure, high awareness levels, and substantial investments in sleep health research. However, other regions like Asia Pacific and Europe are also witnessing significant growth. In Asia Pacific, the increasing disposable income, growing healthcare expenditure, and rising prevalence of sleep disorders are major driving factors. Europe, with its well-established healthcare systems and increasing focus on mental health, is also a critical market for sleep health solutions. Furthermore, emerging markets in Latin America and the Middle East & Africa present lucrative opportunities due to the growing healthcare awareness and improving healthcare facilities.

Product Type Analysis

The clinical sleep health market is segmented into various product types, including sleep apnea devices, insomnia devices, restless legs syndrome devices, narcolepsy devices, and others. Each segment plays a vital role in diagnosing and treating different sleep disorders, contributing to the overall market growth. The sleep apnea devices segment holds a significant share due to the high prevalence of sleep apnea and the effectiveness of these devices in managing the condition. CPAP machines, BiPAP machines, and adaptive servo-ventilators are among the commonly used devices in this segment, providing continuous airway pressure to ensure uninterrupted sleep.

Insomnia devices are another critical segment in the clinical sleep health market. These devices are designed to help individuals manage and treat insomnia, a condition characterized by difficulty falling or staying asleep. The increasing stress levels and fast-paced lifestyles in modern society have led to a rise in insomnia cases, propelling the demand for effective treatment devices. Products like wearable sleep trackers and smart sleep masks are gaining popularity due to their ability to monitor sleep patterns and provide therapeutic solutions to improve sleep quality.

The restless legs syndrome (RLS) devices segment caters to individuals suffering from uncomfortable sensations in th

This statistic provides a comparison of the average amount of time spent sleeping by gender in OECD member countries as well as China, India and South Africa. As of 2016, Chinese women spent 540 minutes sleeping per day. This is significantly higher than the average Japanese woman who spent 456 minutes per day sleeping.

Sleep is an intrinsic part of human life, and recent advancements in wearable technology and machine learning have promised continuous and non-invasive methods of tracking sleep health and patterns, providing an important facet to a more holistic understanding of well-being. However, it is still challenging to achieve consistent and reliable real-time estimates of sleep stages using only smartwatches. This is especially true for individuals with irregular sleep patterns or sleep disorders. A major contributing factor is the distinct lack of publicly accessible, large-scale datasets that allow researchers and engineers to validate their wearable sleep staging algorithms against a population with diverse sleep patterns. Here, we present DREAMT, Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology, a new dataset collected from 100 participants, which includes high-resolution signals from a smartwatch, expert sleep technician-annotated sleep stage labels, and clinical metadata related to sleep health and disorders.

Sleeping habits and quality of life, linear mixed models with repeated measurements.