Life Measuring is a comprehensive software assessing physical condition of a person and issuing recommendations for health improvement. The software formulated the recommendations based on the combined analysis of the vital function like weight variation, heart rate, activity, amount of sleep and the correlations between those functions and the factors determining the quality of life like level of stress, quality of sleep, work productivity etc.
We work with experts in medicine, data science and machine learning, who analyze the readings from wearable monitoring devices and activity trackers, identify correlations between the various vital functions and analyze medical foundation for the observed correlations.
Fast growth of the popularity of wearable monitoring devices, activity and fitness trackers, and the volume and the variety of data collected by them became a prerequisite for creating a software capable of the combined analysis of these data, identify correlations and formulate recommendations for health improvement. Paired with such software, fashionable but still useless devices will become powerful instruments of telemedicine.
Telemedicine defined as the use of telecommunication and information technologies in order to provide clinical health care at a distance. It helps eliminate distance barriers and can improve access to medical services that would often not be consistently available.
Telemedicine is a perspective area of research with estimated 1 billion $ of investments by 2017.
Telemedicine employs monitoring devices to record vital function of patients and transfer the data to cloud storages, where they can be viewed and analyzed by the doctor. Such monitoring greatly increases the efficiency of the clinical treatment at very little additional cost. The collected data allows tracking the status of a patient not only during the treatment, but after and even before the treatment. The later simplifies the diagnosis process. All these is done remotely without having the patient travel to medical institution, which also provides access to medical help in the situations when visiting a medical institution is not possible.
69% of adult population in the US perform monitoring of their vital functions for for the doctors or personal use. About 20% of them use available on the market personal wearable monitoring devices like activity trackers, fitness bands, smart watches, and etc. The world’s market of such devices is continuously growing. In 2013, 40 millions of such devices were sold. In 2014 — 60 millions. In 2015 it is expected to reach 90 million in 2015. By 2017 the market of wearable monitoring devices should exceed 25 billion $.
Smart wearable monitoring devices record various vital functions of its owner, a computer program also record information about personal habits, food consumed, weight variations, and more. The result, should this data be thoroughly analyzed, would be a realistic evaluation of the person’s health condition. However currently all these just stored as unprocessed raw data. At best, the device reminds its owners to exercise more in order to burn more calories.
Currently the wearable monitoring devices are incapable of analyzing the collected data and give the user recommendations for improving health condition in general or individual aspects. For example, how to slightly adjust the daily routine to improve the quality of sleep, stabilize or decrees weigh. The situation is due to the lack of scientific knowledge of the dynamics and correlation of vital function over prolonged period.
An international group of scientist at Life Measuring is aiming at unleashing the full potential of the wearable monitoring devices. We develop a software package capable of assessing physical condition of a person and making recommendations for health improvement based on the combined analysis of the vital function collected by the monitoring device. To this end we:
Life Measuring software suggests the best time to go to sleep, the best time to wake up and optimal duration of sleep. It advises what activity is optimal and at what time of the day. It highlights anomalies and generates recommendations for lowering the level of stress, normalizing weight and improving quality of sleep. It determines optimal amount of exercises and their optimal distribution throughout the day for maximizing the benefits. It suggests how to improve performance and prevent fatigue. It analyzes the heart rate, warns about existing symptoms of illness, which facilitate early diagnosis and potentially saves life.