Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the healthcare sector. This time, you get to discover 5 hand-picked startups developing fall detection solutions.
Global Startup Heat Map: 5 Top Fall Detection Solutions
The 5 healthcare startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 healthcare startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 141 companies we analyzed for this specific topic.
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GuarDay builds a Wearable Fall Detection Device
Elderly people are more prone to falling, which is a major concern for caregivers and family members. Detecting falls, however, enables caregivers to immediately respond and prevent serious injuries. A wearable fall detection device enables older people living alone to confidently step out of their homes without having to worry about falling and not getting the necessary help if needed.
Singaporean startup GuarDay builds a discreet wearable fall detection device for the elderly. The startup’s motion-detection device weighs 35 grams and is water-resistant, making it effective even in unfavorable weather conditions. Moreover, when users actually fall, the device instantly shares their location data and alerts caregivers or family members. To further simplify usage, the device’s battery runs for up to 5 days.
Owlytics Healthcare enables the Assessment of Fall Risk
As people get older, they need to get regular checkups on their physical and mental wellbeing as age-related physical or mental deterioration as well as neurodegenerative conditions put elderly patients at a higher risk of falling. To better assist caregivers, nurses, and other medical professionals, startups develop artificial intelligence solutions that assess the fall risk for individual patients.
Israeli startup Owlytics Healthcare develops a solution that analyzes elderly patients not once but many times a day. The startup’s solution leverages an accelerometer to detect motion, physiological parameters, and deep learning algorithms to assess risk based on data collected from actual falls. Key indicators to assess an individual’s fall risk include gait, medication change, physiological trends, sleep duration, and wake-up time, among others.
upBed delivers Fall Prevention Solutions for Dementia Patients
Advanced neurodegenerative diseases such as Alzheimer’s and dementia make patients forget that they actually require assistance in terms of physical mobility. That is why elderly patients with memory impairments are at higher risk of falling. However, technologies such as wearables, motion sensors, and computer vision aid in analyzing and identifying a potential fall. For example, startups develop wearable anklets that alert caregivers to provide the necessary assistance to such patients when needed.
The US-based startup upBed develops a soft anklet worn by the patient when going to bed. The wearable notifies caregivers through a nurse call system in case a patient begins to exit their bed. The silent solution therefore detects falls before they occur and also gives tips on subsequent preventive actions to reduce the risk of a future accident.
Physia develops a Diagnostic Garment
More and more MedTech companies are working on proactive healthcare solutions to improve overall healthcare service delivery. Wearable technology in combination with medical diagnostics provides the necessary platform for integrated healthcare solutions. To this end, startups develop wearable fall detection garments that alert caregivers and family members in the case of such an event.
The US-based startup Physia develops a multi-purpose diagnostic garment to track and monitor vital signs. For example, in-built sensors monitor the impact force of falls to assess the potential injury of a patient. Moreover, the startup’s garment monitors heart rates and temperature fluctuations in patients and features an in-built electrocardiograph (ECG).
MintT creates a 3D-Sensor-based Fall Assistant
From monitoring drug adherence and motion tracking to vital signs monitoring and fall detection or prevention, the Internet of Medical Things (IoMT) has diverse applications. Effective patient management requires real-time data which IoMT solutions provide. Such solutions are particularly useful in hospitals and nursing homes. Therefore, startups develop software-based fall assistance solutions that enable hospitals to operate efficiently.
Belgian startup MintT develops ISA, a 3D-sensor-based fall assistant. ISA detects high- or low-impact falls occurring in the sensor’s field of vision, near falls, or the body just slipping down from the side of the bed as well as irregular night-time activity. Through collecting this data, ISA allows a fine analysis of patient behavior and thereby lightens the work of carers while improving the quality of care services.
Discover all Healthcare Startups
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