Connected Health

The work area of Connected Health at Fraunhofer IDMT in Oldenburg develops mobile sensor-based health systems. Their distinctive feature: They can be used flexibly and without a clinical infrastructure in

  • prevention,
  • diagnostics,
  • the therapy of diseases
  • and for the preservation of health.

The technical focus is on the development and validation of intelligent evaluation algorithms. In addition, research is conducted in the Connected Health field on models in interaction with sensors that are close to the body and, in particular, close to the head.

Application scenarios

Current application scenarios include pronunciation analysis and speech training for rehabilitation and therapy support in speech therapy. The recording and classification of body-related sounds, such as breathing, or the analysis of movement data, for example in the context of neurological diseases, also fall within the research and development activities.

Another scenario is the development of mobile neurotechnologies, for example for measuring sleep or diagnosing epilepsy. Brain activity can be used to draw conclusions about the state of health. For this purpose, EEG data is recorded and analyzed. Another method is recording via radar, for example to be able to detect nocturnal breathing pauses during sleep. The flexibly applicable technologies from the field of neurotechnology can be integrated into various applications from the Connected Health work area.

Connecting health systematically and practically

Connected Health at Fraunhofer IDMT in Oldenburg systematically addresses technological solutions that enable mobile or remote health services. An important goal here is to provide health-conscious users and patients more flexible options for their self-management and for contacting medical professionals. Where possible, this involves readily available consumer technologies and wearables such as smartwatches, hearables, smartphones, as well as existing infrastructures such as cellular networks. This enables healthcare to be provided outside the hospital or a medical office. This approach includes new developments in telemedicine, home care, and lifestyle products.


Contactless respiration monitoring

Breathing is essential - that's why it can be important to record and monitor breathing parameters in the medical field. The group »Mobile Neurotechnologies« is working on monitoring breathing.


Automatic speech analysis

Based on machine learning, speech and voice pathologies should be able to be automatically evaluated and analysed.


»MOND« for better epilepsy diagnostics

An everyday mobile neurosensing system shall automatically detect epileptic seizures and document them for medical history.


Automatic Screening

With the Oldenburg Speech and Voice Test, we want to set a new standard for the automated detection of speech and voice disorders.


Listening and pronunciation training for the hearing impaired

The developments in the project THERESIAH are intended to complement existing forms of therapy.


Intelligent speech training with ISi-Speech

In the ISi-Speech project, a training system is being developed that allows affected persons to independently train their speech capability. 


Assistive Speech and Language Analysis

The development and utilisation of digital speech processing technologies can make an important contribution to individual capacity for verbal communication.


Mobile Neurotechnologies

The group »Mobile Neurotechnologies« is working on discreet EEG systems for the analysis of brain activity - e.g. for safe workplace design or for use in health applications.


Oldenburg Branch for Hearing, Speech and Audio Technology HSA

The objective of the Oldenburg Branch for Hearing, Speech and Audio Technology HSA of the Fraunhofer Institute for Digital Media Technology IDMT is to transfer scientific findings related to hearing perception and man-machine interaction into technological applications.