M-sense quantifies migraine by analyzing lifestyle and vital data. By bringing standard therapy methods into the mobile domain, it also helps them to stick to their treatment plans and to adopt a proactive approach to disease prevention and management.
How does it work?
Initially, M-sense collects migraine-related data. The data comes from weather databases, existing data pools on the smartphone (e.g. health kits) and vital signs, which are measured by wearables medical devices interfacing with the app. M-sense correlates this data with the individual migraine attacks. How did the pressure fluctuate before my last five attacks? Does irregular sleeping in combination with skipped meals and little physical activity increase my days with pain? Answers to questions like these are provided to the user by multifactorial analyses that examine the influence of various factors on severity, length and frequency of attacks. In this first step, sufferers can identify main factors – easily with M-sense’s intuitively structured user interface.
The aim of M-sense is to guide the user to take proactive measures against migraine attacks. Times of high vulnerability to attacks are detected automatically via pattern recognition algorithms and therapeutic approaches such as biofeedback and relaxation methods are provided just in time to the user. He or she is motivated to use them and rewarded through targeted feedback.
In addition to these direct benefits for sufferers, M-sense creates the necessary basic data required for doctors to tailor their patient’s therapy. M-sense provides the platform to discuss this data and individual medication plans with the doctor.
Dr. Markus Dahlem
The M-Sense GmbH aims at making chronic diseases that manifest in episodic attacks controllable for patients.
Newsenselab aims at being the leading manufacturer of software algorithms in the field of predictive health care. The migraine app M-sense is the first product to realize this vision. By continuously monitoring vital signs and physical data and analyzing this data, we offer migraine sufferers early attack detection and treatment methods to reduce them.
Year of foundation: 2016
Institute: Department of Physics
Mentor: PD Dr. Niels Wessel