Overview The Human Vital Signs Dataset is a comprehensive collection of key physiological parameters recorded from patients. This dataset is designed to support research in medical diagnostics, patient monitoring, and predictive analytics. It includes both original attributes and derived features to provide a holistic view of patient health.

Attributes Patient ID

Description: A unique identifier assigned to each patient. Type: Integer Example: 1, 2, 3, ... Heart Rate

Description: The number of heartbeats per minute. Type: Integer Range: 60-100 bpm (for this dataset) Example: 72, 85, 90 Respiratory Rate

Description: The number of breaths taken per minute. Type: Integer Range: 12-20 breaths per minute (for this dataset) Example: 16, 18, 15 Timestamp

Description: The exact time at which the vital signs were recorded. Type: Datetime Format: YYYY-MM-DD HH:MM Example: 2023-07-19 10:15:30 Body Temperature

Description: The body temperature measured in degrees Celsius. Type: Float Range: 36.0-37.5°C (for this dataset) Example: 36.7, 37.0, 36.5 Oxygen Saturation

Description: The percentage of oxygen-bound hemoglobin in the blood. Type: Float Range: 95-100% (for this dataset) Example: 98.5, 97.2, 99.1 Systolic Blood Pressure

Description: The pressure in the arteries when the heart beats (systolic pressure). Type: Integer Range: 110-140 mmHg (for this dataset) Example: 120, 130, 115 Diastolic Blood Pressure

Description: The pressure in the arteries when the heart rests between beats (diastolic pressure). Type: Integer Range: 70-90 mmHg (for this dataset) Example: 80, 75, 85 Age

Description: The age of the patient. Type: Integer Range: 18-90 years (for this dataset) Example: 25, 45, 60 Gender

Description: The gender of the patient. Type: Categorical Categories: Male, Female Example: Male, Female Weight (kg)

Description: The weight of the patient in kilograms. Type: Float Range: 50-100 kg (for this dataset) Example: 70.5, 80.3, 65.2 Height (m)

Description: The height of the patient in meters. Type: Float Range: 1.5-2.0 m (for this dataset) Example: 1.75, 1.68, 1.82 Derived Features Derived_HRV (Heart Rate Variability)

Description: A measure of the variation in time between heartbeats. Type: Float Formula: 𝐻 𝑅

𝑉

Standard Deviation of Heart Rate over a Period Mean Heart Rate over the Same Period HRV= Mean Heart Rate over the Same Period Standard Deviation of Heart Rate over a Period ​

Example: 0.10, 0.12, 0.08 Derived_Pulse_Pressure (Pulse Pressure)

Description: The difference between systolic and diastolic blood pressure. Type: Integer Formula: 𝑃

𝑃

Systolic Blood Pressure − Diastolic Blood Pressure PP=Systolic Blood Pressure−Diastolic Blood Pressure Example: 40, 45, 30 Derived_BMI (Body Mass Index)

Description: A measure of body fat based on weight and height. Type: Float Formula: 𝐵 𝑀

𝐼

Weight (kg) ( Height (m) ) 2 BMI= (Height (m)) 2

Weight (kg) ​

Example: 22.8, 25.4, 20.3 Derived_MAP (Mean Arterial Pressure)

Description: An average blood pressure in an individual during a single cardiac cycle. Type: Float Formula: 𝑀 𝐴

𝑃

Diastolic Blood Pressure + 1 3 ( Systolic Blood Pressure − Diastolic Blood Pressure ) MAP=Diastolic Blood Pressure+ 3 1 ​ (Systolic Blood Pressure−Diastolic Blood Pressure) Example: 93.3, 100.0, 88.7 Target Feature Risk Category Description: Classification of patients into "High Risk" or "Low Risk" based on their vital signs. Type: Categorical Categories: High Risk, Low Risk Criteria: High Risk: Any of the following conditions Heart Rate: > 90 bpm or < 60 bpm Respiratory Rate: > 20 breaths per minute or < 12 breaths per minute Body Temperature: > 37.5°C or < 36.0°C Oxygen Saturation: < 95% Systolic Blood Pressure: > 140 mmHg or < 110 mmHg Diastolic Blood Pressure: > 90 mmHg or < 70 mmHg BMI: > 30 or < 18.5 Low Risk: None of the above conditions Example: High Risk, Low Risk This dataset, with a total of 200,000 samples, provides a robust foundation for various machine learning and statistical analysis tasks aimed at understanding and predicting patient health outcomes based on vital signs. The inclusion of both original attributes and derived features enhances the richness and utility of the dataset.

This dataset contains vital sign measurements (heart rate and respiratory rate) from mm-wave Frequency-Modulated Continuous Wave (FMCW) radar. It includes data from ten participants across scenarios like resting, elevated heart rate activities, and accounts for extreme physiological conditions such as asthma and meditation. Each record is validated against the Polar H10 sensor. The dataset is structured to facilitate research in non-invasive health monitoring, providing ADC samples, range maps, and chest displacement signals.

Note: The detailed guide for this data set can be found in "https://doi.org/10.48550/arXiv.2405.12659". In the case of using it please cite this article.

In a previous publication the database of our phase 0 study on the feasibility of non-contact vital signs monitoring was published. Based on the data it has been shown that besides pulse and respiration, radar systems are also capable to measure the heart sounds of the test persons. The heart sound offers a significant advantage when trying to measure the heartbeat as precisely as possible, as it has a very concise and sharp morphology. This precision is, e.g., very important for determining the parameters of heart rate variability.Following a successful phase 0, a clinical evaluation of the radar has been planned and performed. In phase 1, 30 healthy subjects were measured with the radar and a synchronised reference device, the so-called Task Force Monitor. In addition to non-contact continuous blood pressure, the Task Force Monitor can measure ECG, ICG and impedance. It also evaluates the raw signals and determines additional values such as heart rate, stroke volume, cardiac output, thoracic fluid content, total peripheral resistance, and many more.Besides a resting scenario, scenarios such as the Valsalva maneuver, tilt table test or breath holding were performed to evoke different triggers of the autonomic nervous system. The measurements were performed and monitored by medical professionals at the university hospital Erlangen. The study was approved by the ethics committee of the Friedrich-Alexander-Universität Erlangen-Nürnberg (No. 85_15B). All research was performed in accordance with relevant guidelines and regulations. The informed consent was obtained from all subjects in human trials.Due to size constrains the dataset is split in three zip files. Download the files and unzip them in one folder using a tool like "7zip" to get the whole database.Important:Information on how to use the database and the measurements can be found in the corresponding publication: https://www.nature.com/articles/s41597-020-00629-5

VitalStats: A collection of vital statistics products including tables, data files, and reports that allow users to access and examine vital statistics and population data interactively. VitalStats includes pre-built tables and reports for quick access to statistics; or the user can create tables--choosing from over 100 variables. Tables can be customized to create charts, graphs, and maps. Data can be exported.

Facial video and synchronised vital-sign ground truth for 850 European participants (30-s 30-fps videos; PPG waveform, heart rate, SpO₂ and blood pressure).

The market is estimated to be worth USD 8.6 Billion in 2025 and is projected to reach USD 17.8 Billion by 2035, expanding at a CAGR of 7.5% during the forecast period.

Country-wise outlook

Competitive Outlook

Vital

## Overview

Vital is a dataset for object detection tasks - it contains Screen annotations for 305 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.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The report covers Global Wearable Ambulatory Monitoring Devices Market and the Market is Segmented by Product (Consumer Wearables, and Medical Devices), End-user (Hospitals and Clinics, Ambulatory and Health Centres, and Homecare), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America).

a high-fidelity multi-parameter vital signs database in 6,388 surgical patients (2016-2017, Seoul National University Hospital, Seoul, Korea)

First Sub-Saharan African rPPG dataset with 1 551 participants; 24–30 s 40–60 fps facial videos plus PPG, heart rate, SpO₂, blood pressure and partial respiration waveform.

State comparisons data for births, deaths, infant death, disease, abortion, median age, marriages, divorces, physicians, nurses, and health insurance coverage. Data include a national ranking.

or dangerous environments

The Office of Vital Records at the Connecticut Department of Public Health maintains statewide registries of vital events (births, fetal deaths, deaths and marriages) which have occurred in CT or to residents of CT. Data collected through the vital records registries are analyzed annually to create statistical reports on the number of events and associated demographic and health information. In CT, these vital statistics reports are known as Registration Reports. Monthly Birth and Death Counts and Annual Registration Reports and Methods are available on the Department of Public Health's website.

The size of the Vital Sign Monitoring market was valued at USD 13.39 Million in 2023 and is projected to reach USD 37.25 Million by 2032, with an expected CAGR of 15.74% during the forecast period.Monitoring of vital signs: Continuous or periodical measurements of key physiological indicators of a person's general condition of health. The classic four vital signs include the measurement of body temperature, pulse rate (heart rate), breathing rate, and blood pressure. Oxygen saturation, signifying the percentage saturation of oxygen in the blood, has also become very important during the last decade and is nowadays regarded as an essential vital sign in clinical practice. Monitoring of vital signs is one of the core elements in healthcare as many purposes in both hospitals and clinics cover evaluation, early warning signs of deterioration, and treatment decisions. For instance, an abnormal elevated rate of heartbeats or low blood pressure may be a serious medical condition that requires prompt attention. This means the direct monitoring of patients having critical illnesses in the ICU, thus facilitating more active intervention by the healthcare providers if needed. Beyond the commonplace providers, monitors of vital signs also found their way into home care and telehealth service. From the connected health solutions to wearable devices, patients can monitor their vital signs from remote locations and, therefore gain knowledge of how trends reflect in their health. This serves to bring the patient into a proactive position in securing and maintaining healthy well-being. It also helps the healthcare provider monitor chronic patients through telemedicine, negating the need for countless visits to hospitals. In the fitness and sports world, vital sign monitoring enables athletes to refine their training routines and monitor their level of performance.Thanks to the monitoring of heart rate and other vital signs in exercise, athletes can now adjust the level of the session to avoid overexertion and suffer less about injuries. This greatly increases reliance on vital sign monitoring for wellness and preventive healthcare. Potentials risks at earlier stages are detected, allowing people to take precautions. Recent developments include: In April 2022, Anelto Inc, one of the leading providers of Remote Patient Monitoring (RPM) solutions, partnered with BioIntelliSense, Inc., a continuous health monitoring and clinical intelligence company, to integrate BioIntelliSense's FDA-cleared BioSticker and BioButton wearable medical devices and data services with Anelto's RemoteCareLive! RPM platform., In March 2022, Alder Hey Children's NHS Foundation Trust has teamed with digital health business Isansys Lifecare to improve at-home patient monitoring and decrease healthcare system burdens.. Key drivers for this market are: Increasing prevalence of Chronic Diseases, Recent Technological Innovations (at the component level) and the Fast-Tracking of Regulatory Approvals in the Field of Wearables; Growth in Demand for Home Care Monitoring. Potential restraints include: User Readiness and Unresponsiveness of Some Monitoring Devices, Competitive Pricing Pressure and Presence of Counterfeit Products. Notable trends are: Hospitals and Clinics Segment is Expected to Hold a Significant Share in the Market Over the Forecast Period.

The global vital signs monitors market is experiencing steady growth, projected to reach a market size of $4,950.5 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 3.3%. This growth is driven by several key factors. The increasing prevalence of chronic diseases necessitating continuous monitoring, coupled with advancements in technology leading to smaller, more portable, and wireless devices, significantly boosts market expansion. Furthermore, the rising demand for improved patient care in both hospital and home settings fuels adoption. Technological innovations such as integration with electronic health records (EHRs) and remote patient monitoring (RPM) capabilities enhance efficiency and improve patient outcomes, contributing to market growth. The diverse segments within the market, encompassing patient monitors, maternal and child monitors, and animal monitors, further contribute to its overall size and growth potential. Growth is also fueled by increasing adoption in various applications such as ICUs, emergency rooms, and obstetrics units, reflecting a broad-based need for accurate and timely vital sign data across different healthcare settings.
Market segmentation reveals strong demand across various types of monitors and applications. Patient monitors constitute a significant portion of the market, followed by maternal and child monitors. Regional variations exist, with North America and Europe expected to hold substantial market share due to advanced healthcare infrastructure and high adoption rates of advanced technologies. However, the Asia Pacific region, particularly China and India, is expected to witness significant growth in the coming years, driven by increasing healthcare expenditure and rising healthcare awareness. This expansion is anticipated to be fueled by a combination of increased government initiatives, improved healthcare infrastructure, and growing private healthcare investments in these developing markets. The presence of established players like Philips Healthcare and GE Health, alongside emerging companies, fosters competition and innovation, further propelling market growth.

The U.S. vital signs monitoring devices market is expected to reach USD 11.21 billion by 2028 from USD 7.21 billion in 2022, growing at a CAGR of 7.62%.

Market Analysis: The global combination vital signs monitors market is projected to grow from USD XXX million in 2025 to USD XXX million by 2033, at a CAGR of XX%. This growth is attributed to factors such as increasing prevalence of chronic diseases, rising healthcare costs, advancements in technology, and growing demand for remote patient monitoring. The market is segmented by application (hospital, nursing home, home, others) and by type (traditional monitoring devices, microwave monitoring devices). Hospitals dominate the application segment due to the high demand for comprehensive vital signs monitoring during patient care. Company Landscape and Regional Trends: Major players in the market include GE Healthcare, Masimo Corporation, Nihon Kohden, and Medtronic. North America and Europe hold a significant market share, driven by well-established healthcare infrastructure and technological advancements. The Asia Pacific region is expected to witness significant growth due to rising healthcare spending and increasing awareness of chronic diseases. Key trends include miniaturization and portability of devices, integration with electronic health records, and development of wearable monitors for home and remote patient monitoring.

Vital statistics, health practitioner, health facilities, mental health, substance abuse, and disabilities data for North Carolina and counties.

The global vital signs simulators market is projected to reach a value of USD 1.2 billion by 2033, expanding at a CAGR of 5.2% over the forecast period (2025-2033). The market growth is attributed to the rising demand for simulation-based training in the healthcare industry, increasing focus on patient safety, and advancements in medical technology. The market is segmented by application (hospital, medical school, medical equipment vendor) and type (infant simulator, adult simulator). North America is expected to hold the largest market share, followed by Europe and Asia Pacific. The dominance of North America can be attributed to the presence of a large number of medical schools and hospitals, as well as the early adoption of advanced medical technologies. Asia Pacific is expected to witness significant growth over the forecast period due to the increasing demand for healthcare services and the growing awareness of simulation-based training in the region. Key players in the market include Rigel, Fluke Biomedical, WHALETEQ, 3B Scientific, Gossen Metrawatt, Pronk Technologies, Datrend Systems, LESSA, SKILLQUBE, IngMar Medical, and Koken.