Our systems are continuously being expanded through the development of customer-specific adaptations. The integration of an IR temperature sensor into our Move 4 (activity sensor) and the EcgMove 4 (ECG- and activity sensor) is the result of such adaptations and expands our range of ambulatory measurement systems.


Recommendations for skin temperature monitoring


Measurement of the circadian rhythm

In addition to the familiar data recordings (HRV and activity data), the Move 4 and EcgMove 4 also enable continuous recording of skin temperature in everyday life, for example to investigate individual circadian phases in the daily routine.



New Wrist Band for Activity Sensor

Skin temperature measurement and Interactive Ambulatory Assessment (IAA)

The movisens SensorTrigger makes it possible to collect physiological and subjective data together in everyday life. All movisens mobile sensors are able to transmit the results of the data measured and analyzed in real time to a smartphone (mobile device) via a Bluetooth interface. From this, questionnaires can be triggered in movisensXS to start a query.
This function makes it possible to record subjective data precisely at the times when something physiologically interesting is being measured. Through the combined use of activity monitoring, skin temperature measurement and experience sampling in everyday life, smaller interventions can be carried out quickly and easily.




Example studies

The PiCADo Pilot Project

Bayesian Model Search for Nonstationary Periodic Time SeriesPredictability of individual circadian phase during daily routine for medical applications of circadian clocksHidden Markov models for monitoring circadian rhythmicity in telematic activity data.


Pilot study

Relevance of a Mobile Internet Platform for Capturing Inter- and Intrasubject Variabilities in Circadian Coordination During Daily Routine.


Useful Information

Why skin temperature?

Skin temperature is a parameter that is used in sleep research. Here, for example, the increase in skin temperature fluctuations is observed or the sleep latency time is examined.

Literature

B. Anthony et al. „Reminder: RMSSD and SD1 are identical heart rate variability metrics”. Muscle & Nerve. 56.4 (2017): 674-678.
Bart, Verkuil et al. „Prolonged Non-metabolic Heart Rate Variability Reduction as a Physiological Marker of Psychological Stress in Daily Life“. Annals of Behavioral Medicine. 50 (2016):704-714.
Fred, Shaffer & J. P., Ginsberg. „An Overview of Heart Rate Variability Metrics and Norms“. Frontiers in Public Health. 5 (2017): 258.
Malik, Marek. „Heart rate variability“. Annals of Noninvasive Electrocardiology. 1.2 (1996): 151-181.
S. Sammito et al. „Nutzung der Herzschlagfrequenz und Herzfrequenzvariabilität in der Arbeitsmedizin und Arbeitswissenschaft“. AWMF online Das Portal der wissenschaftlichen Medizin. 002 (2014): 042.