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:
0
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Abstract 

The PD-BioStampRC21 dataset provides data from a wearable sensoraccelerometry study conducted for studying activity, gait, tremor, andother motor symptoms in individuals with Parkinson's disease (PD).  Inaddition to individuals with PD, the dataset also includes data forcontrols that also went through the same study protocol as the PDparticipants.  Data were acquired using lightweight MC 10 BioStamp RCsensors (MC 10 Inc, Lexington, MA), five of which were attached toeach participant for gathering data over a roughly two dayinterval.

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 abovementioned paper. Additional detail specific to the dataset and filenaming conventions is provided here.

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

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

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

a) Accelerometer sensor data files (CSV) corresponding to the fivedifferent 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 areprovided as a zip file "Clinic_DataPDBioStampRCStudy.zip". Unzippingthe 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 controlparticipants and for PD participants that did not participate in theON/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 ofthe Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scalepresentation 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

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