Abstract: The disclosed system and method provide for the automatic assessment of the presence/severity of the sleep problem and its exact nature. The assessment is based on qualitative information about sleep patterns, insomnia-related factors and daytime consequences, as well as quantitative information about sleep patterns measured by a sensor. By combining the different sources of information (subjective as well as objective data), the diagnosis gives more insight into the nature of the sleep problem and is therefore more accurate. Furthermore, the disclosed system may be used to select specific components of the system that are medically relevant to the individual and therefore create a personalized program. The system teaches a selection of self-management skills that could help the individual to better cope with sleep disturbances and target those factors that maintain the problem or make it worse by a particular individual.

Abstract: This invention relates to a system and a kit for stress and relaxation management. A cardiac activity sensor (101) is used for measuring the heart rate variability (HRV) signal of the user and a respiration sensor (102) for measuring the respiratory signal of the user. The system contains a user interaction device (103) having an input unit (104) for receiving user specific data and an output unit for providing information output to the user. A processor (106) is used to assess the stress level of the user by determining a user related stress index. The processor is also used to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages.

Abstract: The disclosed system and method provide for the automatic assessment of the presence/severity of the sleep problem and its exact nature. The assessment is based on qualitative information about sleep patterns, insomnia-related factors and daytime consequences, as well as quantitative information about sleep patterns measured by a sensor. By combining the different sources of information (subjective as well as objective data), the diagnosis gives more insight into the nature of the sleep problem and is therefore more accurate. Furthermore, the disclosed system may be used to select specific components of the system that are medically relevant to the individual and therefore create a personalized program. The system teaches a selection of self-management skills that could help the individual to better cope with sleep disturbances and target those factors that maintain the problem or make it worse by a particular individual.

Abstract: Insomnia is a prevalent sleep disturbance in the general population. As standard diagnostic method for assessing the nature and the severity of the sleep problem, a so-called sleep log or sleep diary, i.e. a questionnaire usually on paper, is used in most cases. The main drawback of this diagnostic tool is that its accuracy is affected by subjective bias of the patient, e.g. for patients it is often difficult to remember sleep and wake periods during the night correctly. The present invention proposes an automatic sleep log that uses vital body signs as input signals for assessing sleep and wake periods during the night. By using objective data, the diagnosis will be more accurate. Furthermore, this system can also be used to sleep restriction therapy, a non-pharmacological method to treat insomnia. Also in this application it can contribute to patients correctly applying this method and thus leading to a better medical outcome.

Abstract: This invention relates to a system and a kit for stress and relaxation management. A cardiac activity sensor (101) is used for measuring the heart rate variability (HRV) signal of the user and a respiration sensor (102) for measuring the respiratory signal of the user. The system contains a user interaction device (103) having an input unit (104) for receiving user specific data and an output unit for providing information output to the user. A processor (106) is used to assess the stress level of the user by determining a user related stress index. The processor is also used to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages.

Abstract: The invention relates to a monitoring device (105) for remotely monitoring a heartbeat of a subject, the monitoring device comprising a remote sensor (102) for receiving a monitored signal (103) indicative of a movement of the subject's thoracic wall (101) induced by the subject's heartbeat. In an embodiment of the invention, the monitoring device (105) further comprises a triggering device (401) arranged to access the monitored signal (403) to generate a triggering signal (402) representative of a phase of the heartbeat. The invention further relates to an imaging or spectroscopy system (901), for example a magnetic resonance or computed tomography system or a cardiac 3D X-ray angiography system, arranged to acquire data from a subject, the system comprising such a monitoring device (105), wherein the system is further arranged to utilize the triggering signal (402) to synchronize the acquisition of the data to the phase of the subject's heartbeat.

Abstract: The present invention relates to a depression detection system (2). Furthermore the invention relates to a method of detecting depressions and to a computer program. In order to provide an objective measure for a depression as well as for a relapse into depression, a depression detection system is suggested, the system comprising a patient-based device (2) using an actimetric sensor unit (3) adapted to measure a patient's activity and further comprising a signal processing unit (4) adapted to obtain a depression detection result based on the measured activity of the patient.

Abstract: The invention provides automatic control of a deep brain stimulation system (2) using tremor detection based on accelerometer signals. Because no manual interventions are necessary, the ease of use for the patient (1) is greatly enhanced. Furthermore the autonomy of the patients in normal daily life is increased. The present invention also results in a reduced energy consumption and consequently longer battery life. On the other side with the present invention an optimal treatment is possible, adjusted to the patient's symptoms without the help of a physician.