Change is coming to ‘stagnant’ wearables market as heart rate sensors claim accurate monitoring

Today’s continuous monitoring tech is shifting the consumer mindset away from a reactive monitoring approach to a proactive one. And this is having a dramatic effect on the market for wearable technologies, as Jeremy Cowan reports. 

Instead of waiting for annual visits to the  doctor to get results for blood pressure and other vital signs, consumers want real-time information about their health status. So says Sui Shieh who is vice president, Industrial and Healthcare Business Unit at one wearables manufacturer, Maxim Integrated.

This shift is causing an increased demand for accurate, small, and low-power wearable devices, said to be an important enabler for this new way of thinking. As continuous monitoring and preventive healthcare become more common, both technology providers and health practitioners must embrace and accommodate these new demands to be successful, he believes.

“Global healthcare costs are high and growing,” says Sui, “with spend now running at 10% of gross domestic product (GDP) – in the US it’s $ 9 trillion. The consumer mindset is moving from reeactive to proactive, with prevention and early detection (of illness) by fitness apps, and chronic disease monitoring” with healthcare devices. But, as he goes on to say, fitness apps generally give little information; that’s why the market has been stagnant for two years.

“The market is there,” he says, “with six million users in 2016 rising to 50 million in 2021, according to analysts, Berg Insight. Our customers are now looking for clinical-grade performance (with US Food & Drug Administration certification), the longest battery life, a small size, and high accuracy.”

Sui Shieh: Wearables market is shifting towards prevention and early detection of illness

Maxim believes that it’s now able to meet these requirements. Through compact, low power solutions, it has a new range of devices that enable accurate monitoring of vital signs to monitor wellness/fitness and prevent health problems before they even begin.

Maxim’s portfolio of sensors for wearable health and fitness applications allows consumers to accurately monitor a variety of key vital signs while being mindful of low power (for longer battery life) and small size (for convenience and comfort). The MAX86140 and MAX86141 can be used to measure PPG signals on the wrist, finger, and ear to detect heart rate, heart rate variability, and pulse oximetry.

The MAX30001 measures ECG and BioZ on the chest and wrist to detect heart rate, respiration, and arrhythmias. Compared to competitive solutions, the MAX86140 and MAX86141 is claimed to require less than half the power and is approximately one third smaller, while the MAX30001 requires approximately half the power in almost half the size. By collecting beat to beat data about the heart, these solutions collect accurate data so users can recognize important symptoms when they first begin. In addition, the MAX30001 meets IEC60601-2-47, clinical ECG standards.

“The convergence of clinical grade diagnostics in form factors small enough to integrate into all sorts of smart, everyday clothing is impressive,” said Adrian Straka, director of Hardware and Manufacturing, SKIIN. “The ultra-small MAX30001 enables SKIIN’s bio-sensing underwear to monitor and track health […]

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Connected Environments Will Not Work Without Accurate Asset Master Data

Manufacturers are beginning to use machine intelligence, smart sensors, and the Internet of Things (IoT) to create connected environments. There is broad consensus that transitioning to this type of advanced digital infrastructure will help improve visibility into process functions and allow algorithms and processing power to play bigger roles in optimizing the real-time health of critical assets.

“We are at the beginning of this smart machine journey,” says Dean Fitt, SAP solutions manager for enterprise asset management and plant maintenance. “People want to move from reactive maintenance to predictive maintenance. Sensors and other maintenance technologies have been around awhile, but they are being put together in new ways to transform how we maintain these environments.”

Some companies are tackling these challenges by using software, sensors, drives, and controllers to automate existing assets. This approach allows them to extend the useful life of 50-year-old hydraulic presses and hundred-year-old steam engines, for example. It also preserves more funds for situations where buying new assets is the best or only option for adding needed capabilities.

Master data management is essential for real process improvement

Being able to predict when asset maintenance is required is one of the biggest advantages offered by connected environments and IoT. But predictive analytics require both real-time data and detailed records of each facility’s as-built assets.

Ideally, this information, which includes a number of data types, would be defined as master data objects to ensure consistency across enterprise systems and processes. But capturing and standardizing data from disparate systems, digital formats, and hardcopy documents is often a low priority for project teams when they are focused on bringing new assets online.

“The master data is crucial,” says Fitt. “It is the foundation for everything. If you do not have a good foundation, you are building on quicksand.”

That is why organizations should treat master data management as a core function whenever they adopt, maintain, or automate any new or existing assets. Governance, controls, and workflows are essential for using asset data to minimize downtime, enable real-time decision-making, and increase process and worker productivity.

“Technology alone will not ensure accurate data,” says Peter Aynsley-Hartwell, chief technology officer for Utopia Global, Inc., a global data solutions company that focuses on information management. “A lot of people have information they do not trust. As soon as that happens, they begin making incorrect or poor decisions or no decisions at all. And they lose the opportunity to achieve a huge benefit from the information they have.”

Connected environments require a consistent and proactive strategy

As technology continues to evolve, manufacturing processes are likely to become more reliant on machine learning and artificial intelligence. Some manufacturers, distributors, and service companies will probably use processing, logic, and networking to continuously monitor and improve the quality and reliability of their assets.

“We may see some of these concepts make their way into our day-to-day manufacturing operations,” says Aynsley-Hartwell. “Perhaps when we have self-driving cars, they will diagnose and drive themselves to the service provider on their own initiative.”

A simple self-driving system is already in service in Australia, Aynsley-Hartwell notes. Rio Tinto, a British mining company, uses 73 416-ton trucks to haul ore along a fixed route. The vehicles are driverless and use GPS units, radars, and sensors to work 24 hours a day while saving the company 15% on overhead costs.

These technologies are evolving quickly, and numerous companies are working on making their assets more autonomous and “smart.” But none of these optimistic visions of the future will be realized without an effective strategy for acquiring and managing vast amounts of data.

Want to learn more? Listen to the SAPRadio show, “The Next Big Thing in Plan Operations: Intelligent Machines and Networks,” and check @SAPPartnerBuild on Twitter.


Internet of Things – Digitalist Magazine

‘IoT Power-consumption Meter’ Is Quite Accurate

‘IoT Power-consumption Meter’ Is Quite Accurate

To help developers check the power consumption of their embedded designs accurately, STMicroelectronics has unveiled the STM32 Power shield with an ideal measurement range for testing devices like Internet-of-Things (IoT) endpoints. The STM32 Power shield has been selected by EEMBC as the reference platform (Energy Monitor v2.0) for the IoTConnect and ULPMark benchmarks.

The new expansion board can be used to supply and measure the consumption of STM32 Nucleo-32, Nucleo-64 or Nucleo-144 boards, using Arduino connectors. Alternatively, it allows to supply and measure the consumption of any target connected by wires via the basic connector.

The measurement range, from 100nA to 50mA, is ideal for testing small ultra-low-power devices, such as Internet-of-Things (IoT) endpoints, says the firm.

The new product dynamically monitors the current under various operating conditions. An interesting feature is that the shield can be used autonomously without the need of equipment like multimeter.

Another benefit is the product’s companion graphical PC application, called STM32CubeMonitor-Power, which gives developers detailed insights to analyze energy measurements and make decisions. This, according to ST, would otherwise require an oscilloscope or other expensive test gear.

Among the user-friendly features of this multi-OS tool, which can run in various desktop environments, energy profiling gives engineers valuable information to help optimize power consumption.

The STM32 Power Shield X-NUCLEO-LPM01A is available now, priced $ 70.00, and ships with STM32CUBEMON-PWR included.

Product information is available at 

For further details, click here.

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