1.8 GHz Radio Channel Measurements of Various Clinical Environments

Citation Author(s):
Alexander
Laß
Vodafone Chair Mobile Communications Systems, Technische Universit ̈at Dresden, Germany
Nick
Schwarzenberg
Vodafone Chair Mobile Communications Systems, Technische Universit ̈at Dresden, Germany
Nora
Martens
Else Kr ̈oner Fresenius Zentrum (EKFZ) for Digital Health, Dresden, Germany
Maximilian
Greiner
Vodafone Chair Mobile Communications Systems, Technische Universit ̈at Dresden, Germany
Felix
Ende
Else Kr ̈oner Fresenius Zentrum (EKFZ) for Digital Health, Dresden, Germany
Ralph
Schneider
Else Kr ̈oner Fresenius Zentrum (EKFZ) for Digital Health, Dresden, Germany
Gerhard
Fettweis
Vodafone Chair Mobile Communications Systems, Technische Universit ̈at Dresden, Germany
Jochen
Hampe
Else Kr ̈oner Fresenius Zentrum (EKFZ) for Digital Health, Dresden, Germany
Submitted by:
Alexander Lass
Last updated:
Mon, 08/21/2023 - 09:05
DOI:
10.21227/6yzv-pd78
Data Format:
License:
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Abstract 

The data set contains raw channel-sounding data of 30 clinically relevant scenarios, captured in the university clinic of Dresden, Germany, and a script to analyze them. The measurement campaign was conducted in five environments:

  • Infirmary (Inf)
  • Emergency Room (ER)
  • Intensive Care Unit (ICU)
  • Hallway (Hall)
  • Elevator (Elev)

The patients were performing various motion sequences:

  • (Sup) Supine position
  • (Sup+s) Supine position with a single person stepping into the line of sight (LOS)
  • (Sup+m) Supine and multiple persons step into the LOS
  • (Sup+r) Supine position and the patient performs rapid motions
  • (Prone) Prone position • (Side) A side-side turn
  • (Walk) The patient walks around the patient’s bed
  • (Phys) The patient performs physiotherapy exercises

Every measurement scenario is a combination of an environment and a motion sequence (eg. Sup-Inf). The data contains the complex-valued system response of a wirelessly transmitted Zadoff-Chu (ZC) sequence at a center frequency of 1.795 GHz and a bandwidth of 30.72 MHz. No protocol information is contained in the data and 64 bits represent a sample. In-phase and quadrature components are represented by a 32-bit floating point number and stored in alternating order. For further information please refer to the GNU Radio File Sink documentation. Every 10 ms the system response is recorded by sending out a batch, containing multiple ZC sequences. Cross-correlate the stored system response with the transmitted ZC sequence to retrieve the impulse response. The files are named after the following scheme: {Name} {Date} {Time} {carrier frequency}MHz {sampling frequency}MSps {capture interval}ms.dat.

Instructions: 

To extract the data, please refer to the following gitHub page: https://github.com/Anxum/Analyze-Radio-Channel-Measurements

Funding Agency: 
Else Kr ̈oner Fresenius Zentrum (EKFZ) for Digital Health, Dresden, Germany