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PD-BioStampRC21: Parkinson's Disease Accelerometry Dataset from Five Wearable Sensor Study

Citation Author(s):
Jamie L.
Adams
Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
Karthik
Dinesh
Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
Christopher W.
Snyder
Rochester General Hospital, Microbiology, Rochester, NY, USA
Mulin
Xiong
Michigan State University College of Human Medicine, East Lansing, MI, USA
Christopher G.
Tarolli
Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
Saloni
Sharma
Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
E. Ray
Dorsey
Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
Gaurav
Sharma
Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
Submitted by:
Karthik Dinesh
Last updated:
Tue, 03/01/2022 - 10:15
DOI:
10.21227/g2g8-1503
Data Format:
License:
3.333335
3 ratings - Please login to submit your rating.

Abstract 

The PD-BioStampRC21 dataset provides data from a wearable sensor
accelerometry study conducted for studying activity, gait, tremor, and
other motor symptoms in individuals with Parkinson's disease (PD).  In
addition to individuals with PD, the dataset also includes data for
controls that also went through the same study protocol as the PD
participants.  Data were acquired using lightweight MC 10 BioStamp RC
sensors (MC 10 Inc, Lexington, MA), five of which were attached to
each participant for gathering data over a roughly two day
interval.

Instructions: 

Users of the dataset should cite the following paper:

Adams JL, Dinesh K, Snyder CW, Xiong M, Tarolli CG, Sharma S, Dorsey E, Sharma G. "A real-world study of wearable sensors in Parkinson’s disease". NPJ Parkinson's disease. 2021 Nov 29;7(1):1-8.

An overview of the study protocol is also provided in the above
mentioned paper. Additional detail specific to the dataset and file
naming conventions is provided here.

The dataset is comprised of two main components: (I) Sensor and
UPDRS-assessment-task annotation data for each participant and (II)
demographic and clinical assessment data for all participants. Each of
these is described in turn below:

I) Sensor and UPDRS-assessment-task annotation data:

The sensor accelerometry and UPDRS-assessment-task annotation data for
all the participants are provided as a zip file named
FullDataSet_PD-BioStampRC21.zip. The size of the zip file is 11GB and,
when unzipped, it generates a set of folders and files with a total
size of approximately 56GB. Unzipping the file generates folders with
name matching the participant ID for each of the Control and PD
participants (17 Control + 17 PD). Each participant folder contains
the data organized as the following files.

a) Accelerometer sensor data files (CSV) corresponding to the five
different sensor placement locations, which are abbreviated as:
  

1) Trunk (chest)           - abbreviated as "ch"
  

2) Left anterior thigh     - abbreviated as "ll"
  

3) Right anterior thigh    - abbreviated as "rl"
  

4) Left anterior forearm   - abbreviated as "lh"
  

5) Right anterior forearm  - abbreviated as "rh"

  

Example file name for accelerometer sensor data files:
   "AbbreviatedSensorLocation"_ID"ParticipantID"Accel.csv
   E.g. ch_ID018Accel.csv, ll_ID018Accel.csv, rl_ID018Accel.csv,
   lh_ID018Accel.csv, and rh_ID018Accel.csv

  

File format for the accelerometer sensor data files: Comprises of
 four columns that provide a timestamp for each measurement and
   corresponding triaxial accelerometry relative to the sensor
   coordinate system.
   
  

Column 1: "Timestamp (ms)" - Time in milliseconds
  

Column 2: "Accel X (g)"    - Acceleration in X-direction (in units of g = 9.8 m/s^2)

   Column 3: "Accel Y (g)"    - Acceleration in Y-direction (in units of g = 9.8 m/s^2)

   Column 4: "Accel Z (g)"    - Acceleration in Z-direction (in units of g = 9.8 m/s^2)

   Times and timestamps are consistently reported in units of
   milliseconds starting from the instant of the earliest sensor
   recording (for the first sensor applied to the participant).

b) Annotation file (CSV). This file provides tagging annotations for
   the sensor data that identify, via start and end timestamps, the
   durations of various clinical assessments performed in the study.
   

   Example file name for annotation file: AnnotID"ParticipantID".csv
   E.g. AnnotID018.csv
   

   File format for the annotation file: Comprises of four columns

   Column 1: "Event Type"           - List of in-clinic MDS-UPDRS assessments. Each assessment comprises of
                                      two queries -  medication status and MDS-UPDRS assessment body locations

   Column 2: "Start Timestamp (ms)" - Start timestamp for the MDS-UPDRS assessments

   Column 3: "Stop Timestamp (ms)"  - Stop timestamp for the MDS-UPDRS assessments

   Column 4: "Value"                - Responses to the queries in Column 1 - medication status (OFF/ON) and
                                      MDS-UPDRS assessment body locations (E.g. RIGHT HAND, NECK, etc.)
   

II) Demographic and clinical assessment data

For all participants, the demographic and clinical assessment data are
provided as a zip file "Clinic_DataPDBioStampRCStudy.zip". Unzipping
the file generates a CSV file named Clinic_Data_PD-BioStampRC21.csv

File format for the demographic and clinical assessment data file: Comprises of 19 columns

Column 1: "ID"                                               - Participant ID

Column 2: "Sex"                                              - Participant sex (Male/Female)

Column 3: "Status"                                           - Participant disease status (PD/Control)

Column 4: "Age"                                              - Participant age

Column 5: "updrs_3_17a"                                      - Rest tremor amplitude (RUE - Right Upper Extremity)

Column 6: "updrs_3_17b"                                      - Rest tremor amplitude (LUE - Left Upper Extremity)

Column 7: "updrs_3_17c"                                      - Rest tremor amplitude (RLE - Right Lower Extremity)

Column 8: "updrs_3_17d"                                      - Rest tremor amplitude (LLE - Right Lower Extremity)

Column 9: "updrs_3_17e"                                      - Rest tremor amplitude (Lip/Jaw)

Column 10 - Column 14: "updrs_3_17a_off" - "updrs_3_17e_off" - Rest tremor amplitude during OFF medication assessment
                                                               (ordering similar as that from Column 5 to Column 9)

Column 15 - Column 19: "updrs_3_17a_on" - "updrs_3_17e_on"   - Rest tremor amplitude during ON medication assessment

Note that columns 10-19 do not contain any data for control
participants and for PD participants that did not participate in the
ON/OFF medication component of the assessment protocol for the study.

For details about different MDS-UPDRS assessments and scoring schemes, the reader is referred to:
        

Goetz, C. G. et al. Movement Disorder Society-sponsored revision of
the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale
presentation and clinimetric testing results. Mov Disord 23,
2129-2170, doi:10.1002/mds.22340 (2008)

Comments

Currently the data is uploaded for one participant.

Submitted by Karthik Dinesh on Sat, 12/19/2020 - 22:34

Dear Karthik
Is there a way to get hold of the complete dataset?
/ Best regards
Jiayi

Submitted by Jiayi Han on Tue, 09/14/2021 - 05:11

Hello Dear Jiayi,

The full dataset is uploaded

Regards,
Karthik

Submitted by Karthik Dinesh on Wed, 09/15/2021 - 14:24

Dear Karthik
Thank you so much for uploading the data ! it is very helpful !
Can you please provide the sampling rate used for this device?:)
Best regards Jiayi

Submitted by Jiayi Han on Fri, 09/17/2021 - 08:20

Full dataset is uploaded

Submitted by Karthik Dinesh on Wed, 09/15/2021 - 14:23

Hello sir My name is Mehul Prajapati i am work on Parkinson's disease that's why I won't the data set please provide me

Submitted by Mehul Prajapati on Thu, 10/26/2023 - 13:21

Dear Karthik
what is the chest landmark?

Submitted by Giorgi Giovanni on Fri, 11/26/2021 - 13:23

dataseti nasil indirebilirim?

Submitted by Nur Berekdar on Tue, 03/29/2022 - 07:49

dataseti nasil indirebilirim?

Submitted by Nur Berekdar on Tue, 03/29/2022 - 07:49

dataseti nasil indirebilirim?

Submitted by Nur Berekdar on Tue, 03/29/2022 - 07:49

Dataset Files

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