Health Apps

Wearables and AI to improve patient health

24/12/2024

In recent years, wearables have evolved from offering limited functions to becoming highly relevant devices for healthcare. These devices, designed to collect real-time data on physical activity and health status, have gained a prominent place in the lives of millions of people. From smartwatches that monitor heart rate to electronic patches that measure glucose levels, their ability to provide live information has transformed how we understand and manage our well-being.

But what happens when this technology is combined with artificial intelligence? The integration of AI into wearable devices has taken remote patient monitoring to a completely new level. Thanks to complex algorithms, it is now possible to interpret large amounts of data and provide personalized recommendations, detect risk patterns before they become more serious problems, and facilitate clinical decision-making.

Wearable devices powered by AI enable more proactive care, reduce the need for in-person visits, and contribute to disease prevention. In this article, we will explore the impact of the synergy between these technologies on people’s health.

What are wearables and what are they used for?

Wearables are electronic devices designed to be worn as part of clothing or accessories, collecting and processing real-time data about the body or the activities of the user. These devices stand out for their ability to provide continuous information, enabling detailed monitoring of physical condition and overall well-being.

In the field of health, wearable devices are becoming increasingly relevant. Their main purpose is to provide data that helps users better understand their bodies and, in many cases, prevent health issues. For instance, a smartwatch can monitor heart rate and alert users to potential irregularities, while a fitness band tracks daily activity levels and sleep quality. Additionally, electronic patches and smart sensors measure parameters such as glucose levels or blood oxygen, giving chronic patients greater control over their conditions.

Some of the most popular wearables include:

  • Smartwatches: Equipped with features such as electrocardiograms (ECG), heart rate monitoring, and sleep analysis. Example: Apple Watch.
  • Fitness bands: Ideal for tracking steps, calories burned, and sleep patterns. Example: Fitbit.
  • Smart rings: Compact devices that record metrics like body temperature and physical recovery. Example: Oura Ring.
  • Biomedical patches: Used to measure vital signs in patients with chronic illnesses.

What are wearable devices used for?

Beyond their role in everyday well-being, wearables are becoming increasingly important in the remote monitoring of patients. They allow healthcare professionals to access live data from their patients without requiring physical visits to hospitals or clinics. This not only improves the quality of care but also promotes disease prevention by detecting early signs that might go unnoticed in sporadic check-ups.

Wearables represent the perfect combination of technology and health, supporting both users and medical professionals with useful, instantly accessible information.

Types of wearables and their functionalities

Wearables have evolved significantly since their inception, resulting in a wide variety of devices designed to meet diverse health and wellness needs. Each type offers specific functionalities tailored to different users and situations. Let’s explore some of the most well-known types of wearables and their applications.

1. Smartwatches

Smartwatches are the most common and widely used wearables, thanks to their practical design and versatility. These devices can monitor heart rate, daily steps, calories burned, or sleep quality, among other parameters. Advanced models like the Apple Watch and the Samsung Galaxy Watch include electrocardiograms (ECG) and fall detection features, alerting users and emergency services if abnormalities are detected.

2. Smart rings

Compact and elegant, smart rings are ideal for tracking metrics such as sleep, stress, and body temperature. Some, like the Oura Ring, go a step further by offering personalized recommendations through artificial intelligence to optimize physical recovery and overall wellness.

3. Electronic patches

Electronic patches are devices adhered to the skin that provide real-time data on parameters such as glucose levels, blood oxygen, or stress biomarkers. They are especially useful in managing chronic illnesses and personalized treatments.

4. Portable biosensors

Biosensors detect subtle changes in biomarkers, such as cortisol, allowing users to manage stress and other conditions more effectively. These devices are highly personalized and offer insights into health status.

5. Smart fabrics with embedded sensors

This innovative type of wearable integrates sensors directly into fabrics, enabling continuous and comfortable monitoring of vital signs and movements. It is particularly useful in rehabilitation and long-term discreet monitoring. An example is Sensing Tex, insoles with pressure sensors that monitor the footprint. The Sensing Tex app collects and stores the data gathered.

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6. Epidermal technology

Epidermal technology, including ultrathin patches, measures vital signs in real-time while adhering comfortably to the skin. These devices enable remote patient monitoring and reduce the need for frequent doctor visits.

7. Straps for athletes

Specifically designed for athletes, these devices, like the WHOOP Strap, monitor physical performance, recovery, and stress. They also provide AI-based advice to improve health and maximize performance.

8. Smart robotic prosthetics

Smart prosthetics equipped with sensors and artificial intelligence algorithms offer greater autonomy and mobility for individuals with physical challenges. These devices learn and adapt to user behavior, delivering an increasingly personalized experience.

9. Haptic devices

Haptic devices use vibrations and other forms of tactile feedback to assist people with sensory disabilities. They are particularly helpful for individuals with visual impairments, enhancing their interaction with their surroundings.

10. Brain-computer interface (BCI)

These devices allow individuals to control other electronic devices directly with their thoughts. They are revolutionary for people with severe motor disabilities, opening new opportunities for communication and control.

An example of this technology is the recent development by Neuralink, as reported by VentureBeat on March 20, 2024. In a video, a paralyzed patient was shown using a brain implant to wirelessly control a computer cursor and participate in a chess game using only the power of their mind. The integration of this technology represents an unprecedented solution for people with disabilities, enabling them to regain some autonomy and significantly improve their quality of life.

Each type of wearable specializes in providing specific data and enhancing user experience in different health-related areas. With their ability to collect and analyze data in real-time, wearables are redefining the concept of remote monitoring and preventive care, becoming almost indispensable devices for a healthier and more connected life.

Parameters measured by wearables

Wearable devices stand out for their ability to capture a wide variety of physiological and environmental parameters, enabling comprehensive health monitoring. Some of the most relevant parameters they measure include:

  • Heart rate: They monitor heart rate at rest and during physical activity. Some devices can also detect arrhythmias or anomalies that could indicate more serious cardiac issues, such as atrial fibrillation.
  • Blood glucose levels: Crucial for people with diabetes, wearables equipped with glucose sensors offer continuous monitoring without the need for frequent pricks, facilitating daily disease management.
  • Body temperature: An early indicator of fever, infections, or physiological changes like menstrual cycles. This parameter is especially useful in continuously used devices like smart rings or electronic patches.
  • Blood oxygen (SpO2): This value helps detect respiratory issues, such as sleep apnea or hypoxemia, and is particularly useful for patients with chronic pulmonary conditions.
  • Blood pressure: Some wearables allow for the measurement of this parameter, aiding in the control of hypertension and the prevention of cardiovascular diseases.
  • Stress: Measured through levels of heart rate variability (HRV) and cortisol, wearables provide useful insights for managing daily stress.
  • Sleep quality: They analyze sleep stages (light, deep, and REM), awakenings, and total sleep time, offering a complete overview of nighttime rest.
  • Physical activity: From daily steps to calories burned and distance traveled, this data encourages healthier habits.
  • Muscle movements and joints: High-precision sensors, present in robotic prosthetics and sports wearables, detect movement patterns to prevent injuries or improve rehabilitation.

With the integration of artificial intelligence, these parameters are recorded and analyzed to provide personalized recommendations, anticipate problems, and enhance the user experience on their journey toward better health.

The influence of artificial intelligence on wearables

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Image source: Ouraring

Artificial intelligence has brought a new dimension to the functionality of wearable devices, significantly expanding their capabilities. By combining intelligent sensors with machine learning algorithms, AI enhances the accuracy of the data collected and transforms it into useful insights for both users and medical professionals. This optimizes the monitoring experience, enabling more informed decisions at both personal and clinical levels.

How AI improves data accuracy and personalization

The integration of AI into wearables allows the analysis of large volumes of real-time data, reducing potential errors and providing a more comprehensive view of the user’s health. For instance, a wearable equipped with AI can differentiate between isolated anomalies and persistent patterns that indicate health risks. Additionally, these algorithms adjust their analyses based on the user’s historical data, personalizing recommendations and tailoring them to specific needs.

Uses of AI in wearables

1. Predictive analysis

AI enables wearable devices to anticipate health issues before they manifest. For example, by analyzing heart rate variability and other biometric data, wearables can detect early signs of heart conditions or even alert users about a potential diabetic episode. This proactive approach significantly improves health outcomes by enabling early interventions.

2. Personalized recommendations

Thanks to AI, wearables provide specific advice on physical activity, diet, and lifestyle habits. For instance, by monitoring a smart ring, it might suggest adjustments to the daily routine to improve sleep, while a fitness band could recommend exercises based on detected stress levels. These recommendations, grounded in personal and contextual data, empower users to make more informed decisions.

3. Telemedicine and remote consultations

Telemedicine has seen significant growth with the integration of AI-powered wearables. These devices collect and transmit relevant data to healthcare professionals in real-time, enhancing the quality of remote consultations. For example, during a virtual visit, a doctor can review metrics such as blood pressure or glucose levels directly from the patient’s wearable, streamlining diagnosis and treatment planning.

Global impact of AI on wearables

The combination of AI and wearable technology offers a better experience for users and improved healthcare. From reducing costs associated with medical emergencies to fostering more effective preventive care, this synergy is redefining how we understand and manage health. Wearables are now intelligent tools that anticipate, recommend, and connect, paving the way for more personalized and efficient care.

Wearables for health: practical applications

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Wearable devices are already a reality in health monitoring, especially in areas where prevention and continuous treatment are crucial. Thanks to their ability to collect real-time data and process it through artificial intelligence, these devices are a significant aid in managing various medical conditions. Below are some of their applications.

Chronic disease monitoring

Wearables play a prominent role in managing chronic diseases. For example:

Diabetes

Continuous glucose monitors (CGM) allow patients to measure their blood glucose levels in real-time, avoiding frequent pricks. This facilitates quick decision-making regarding medication, diet, and physical activity.

Heart diseases

Devices like smartwatches with electrocardiogram (ECG) functionality monitor heart rate and detect irregularities such as atrial fibrillation, helping to prevent severe episodes.

Early risk detection

The ability to identify issues before they escalate into medical emergencies is one of the greatest advancements of wearables:

Arrhythmias

Sensors in electronic patches and smartwatches identify abnormal heart patterns, enabling early interventions.

Chronic stress

Biosensors can measure cortisol levels and heart rate variability (HRV), providing alerts when stress levels are elevated and recommendations to mitigate them.

Rehabilitation and physiotherapy

In the field of rehabilitation, wearables assist patients in regaining mobility and tracking their progress:

Electronic patches

These monitor muscle activity during exercise, offering suggestions for correct execution and preventing injuries.

Smart fabrics

They integrate sensors that monitor joint movements, providing real-time feedback to optimize therapy sessions.

Challenges and opportunities of AI-enabled wearables

The integration of artificial intelligence into wearable devices has transformed the healthcare sector, but it has also introduced challenges that must be addressed to maximize its positive impact. Despite these challenges, the opportunities these technologies offer are far more significant in improving healthcare delivery.

Main challenges

Data privacy and security

Wearables collect a large amount of personal data, such as heart rate or blood glucose levels. If not managed properly, this information could be misused or exposed to cyberattacks. Solutions involve implementing encryption systems, multi-factor authentication, and strict regulations to ensure user privacy.

Reliability of collected data

Wearables rely on their sensors and algorithms to collect and process data. If these are inaccurate, conclusions may be incorrect, affecting decision-making for both users and healthcare professionals. It is essential to develop devices with reliable sensors and conduct extensive testing to ensure accuracy.

Implementation costs and accessibility

Although wearables are becoming more common, their cost remains a barrier for many people. Additionally, healthcare systems must invest in infrastructure to integrate these devices with electronic health records and AI-based analysis systems, which involves significant expenses.

Opportunities

Reduction in hospitalizations and healthcare costs

Wearables enable the early detection of health issues, reducing the need for medical interventions and hospitalizations. This benefits patients through preventive care and healthcare systems by optimizing resources and improving clinical outcomes.

Improvement in patient engagement with treatment

Thanks to personalized recommendations and real-time data analysis, wearables encourage patients to take a more active role in managing their health. Automatic alerts and reminders, for example, help improve adherence to treatments and healthy habits.

Advances in preventive medicine

Wearables have positioned themselves as a primary ally in disease prevention, driving a shift toward a more proactive, data-driven healthcare model that prioritizes well-being over treating adverse conditions.

Balancing challenges and opportunities

Despite the challenges, the opportunities presented by wearables far outweigh their limitations. With advancements in data security, more reliable sensors, and strategies to make them accessible to a broader audience, these devices have the potential to transform healthcare and empower patients like never before.

The future of wearables in healthcare

The future of wearables in healthcare is full of exciting possibilities, driven by technological advances and the growing demand for more efficient and personalized solutions. These innovations promise to revolutionize healthcare as we know it, shifting from a reactive approach to one that is preventive and proactive.

Developing innovations

Device miniaturization

The trend toward miniaturization is making wearables increasingly discreet and comfortable for users. Devices such as smart rings and ultrathin epidermal patches are examples of how design is evolving to facilitate their integration into daily life without compromising functionality. This will expand accessibility, especially for individuals seeking non-invasive and user-friendly solutions.

Deeper integration with electronic health records (EHR)

One of the greatest opportunities for wearables is their ability to integrate directly with electronic health record systems. This will allow healthcare professionals to access a continuous stream of real-time data, improving diagnostic accuracy and treatment personalization. Additionally, this integration can enhance communication between doctors and patients, reducing errors and improving care quality.

A more preventive and proactive approach

The evolution of wearables, combined with the potential of AI, is laying the groundwork for a more preventive healthcare system. These devices no longer just collect data; they now analyze patterns to identify potential risks before they escalate into more severe issues. For example, an electronic patch could alert a patient to abnormal glucose levels, enabling them to adjust their diet or medication in real-time.

Moreover, the combination of AI and smart sensors will enable the creation of personalized health profiles, offering specific recommendations based on the user’s history and current metrics. This proactive approach will improve patient quality of life while reducing the burden on healthcare systems by preventing costly hospitalizations and complications.

The horizon of wearable technology

As wearables become more sophisticated, their possibilities continue to expand. From devices with hybrid functions that combine physiological monitoring with therapeutic capabilities to the development of adaptive wearables that learn from user behavior, the future promises advancements that will transform how we care for our health.

With constant innovations, deeper integration with medical systems, and a preventive focus, wearables promise a future where personalized and proactive healthcare becomes the norm.

In conclusion

Wearables and artificial intelligence are redefining what it means to take care of our health. These technologies are creating a new paradigm where users can take greater control of their well-being. The ability to detect patterns, anticipate risks, and provide personalized recommendations enhances the patient experience and moves healthcare systems toward a more efficient and sustainable model.

The integration of wearable devices will address challenges such as an aging population, the rise in chronic diseases, and the strain on healthcare systems. By adopting these technologies, we are investing in a future where prevention and personalized care will be the pillars of a better quality of life.

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