Physical and Cognitive Monitoring Suites

The last development in the IoT related field in conjunction with the lowering of the costs of the consumer electronics have led to an uncontrolled growth in the number of devices, technology systems and software applications able to transfer and receive data.
Level of global parameters physical activity and can tell a lot about the behavioral status of a person as well as the evolutions in the follow-up of an orthopedic surgery or a drug related therapy or the evolution of a disease.

To correctly track this parameters, the information about daily abits, gait and movement should be collected as much unobtrusively as possible in order to not interfere in the quality of the parameters observed. Also, the observation of these parameters in a free-living context enables to describe the user activity as lifelike as possible.
Ab.Acus has developed Monitoring Suites that collects, processes and formats the data coming from varied sources such as wearable sensors, smartphone embedded sensors, wristbands, smartwatches, environmental sensors and any other type of connected devices.

The entire development process of our products is based on a human-centered design philosophy aimed at encountering our customers’ needs which are translated into a tailored features and tools. No prior technical knowledge is required to fully exploit the potentialities of our products. We make sure your data management is compliant with all relevant regulations, such as ICH-GCP and GDPR.

Quantify My Person

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QMP is a remote monitoring platform able to manage background acquisition of 24/7 data related to behavioral and physical habits through the analysis of data detected by both smartphone and wearable devices.
The data, acquired daily by the monitoring app, are processed to detect any variation from user’s typical behavior.
Through the Dashboard the clinician can both manage the profiles of patients associated with the study, i.e. their medical history, their visits and their diary notes, and view the data collected by the app through charts and indexes.

The users’ behavior is transparently monitored by exploiting the sensors and data flows of their own smartphones. By design, QMP does not provide user any feedback and does not introduce any burden other than carrying a phone.

desktop with dashboard on the screen and smartphone with app open

Through the Dashboard the clinician can follow daily the statistics about the acquired data and keep track of the trends and evolutions of the users in their day-by-day follow-up. QMP supports the researchers and clinicians in identifying the detachment of user’s life habits from their normal behavior through the identification of potential index of worsening of physical or mental health without requiring any previous information nor any labelling. QuantifyMyPerson system architecture has been designed and developed to maintain a high level of flexibility: the type of data collected, the acquired sensors and the structure of the study can be managed by the Dashboard, guaranteeing adaptability to any type of clinical study.

WearMe

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Level of physical activity and global parameters about gait can tell a lot about the physical and behavioral status of a person as well as the evolutions in the follow-up of an orthopedic surgery or a drug related therapy. To correctly track this parameters, the information about gait and movement should be collected as much unobtrusively as possible in order to not interfere in the quality of the parameters observed. Also, the observation of these parameters in a free-living context enables to describe the user activity as lifelike as possible.

WearMe Long Acquisition is a wearable monitoring system aimed at acquiring and analyzing qualitative and quantitative parameters about human movement in a daily timespan. The acquisition of data is made through a multi-sensor wearable platform that can be connected directly to the user’s smartphone through Bluetooth connection.

man walking the streets of the city

The multi-sensor platform is easy to wear and it can be used without any problem during the daily activities of the subjects (working, walking, social life, etc.), no particular clothes are required. Data coming from accelerometer, gyroscope and barometer is acquired continuously during all day in order to characterize the subject’s physical activity in terms of intensity and variability. The user can easily manage the sensors connection and the data acquisition through a user-friendly mobile application that manages the background data acquisition and send it to a dedicated cloud repository. Operators can easily access to raw data, user databases and statistics about acquired data through a dedicated web-based dashboard, a powerful tool that will support researchers and clinicians within the entire follow-up path.

Lab2Go

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Lab2Go is the innovative system made by Ab.Acus aimed to perform reliable, reusable and high quality gait analysis exploiting the potentialities of wearable technologies and mobile devices.
Lab2Go is a multi-sensor platform that acquires, stores, displays and analyses data about human walking motion through mobile application. The walking parameters are acquired through an high frequency multi-sensors platform which provides reliable and high quality data collected through accelerometer, gyroscope and barometer. The data coming from sensors is used to infer traditional and innovative gait parameters that can be used to make qualitative and quantitative assessments about subject gait.

The operator can manage the entire system through an easy-to-use mobile application that enables to manage the user database, create new users, manage the multi-sensors platform, add notes to each acquisition and synchronize local data with the cloud. A web-based dashboard allows the operators to manage patient data, visualize raw data and access to statistical analysis through a web-based dashboard.

people running on an athletics track

Lab2Go is a mobile based application designed to provide a reliable tool for the acquisition of gait parameters in any type of context. Our mobile-based gait analysis system does not require any special environmental or operating conditions and it can be used by everyone without any prior technological knowledge. The sensor is easy to get off and on and can be worn even during intensive physical activities, thanks also to the Bluetooth connection that makes the acquisition platform totally wireless. Lab2Go can be used to assess gait parameters for pathological subject following a precise clinical protocol (e.g. 6 minutes walking test), in a short period of time and in a controlled or guided environment. Lab2Go has been successfully used also for the assessment of sportive performances or as a support tool for competitive training sessions.