PMID- 30441010
OWN - NLM
STAT- MEDLINE
DCOM- 20191022
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2018
DP  - 2018 Jul
TI  - Identification of Parkinson's Disease Utilizing a Single Self-recorded 20-step 
      Walking Test Acquired by Smartphone's Inertial Measurement Unit.
PG  - 2913-2916
LID - 10.1109/EMBC.2018.8512921 [doi]
AB  - Parkinson's disease (PD) is a degenerative and long-term disorder of the central 
      nervous system, which often causes motor symptoms, e.g., tremor, rigidity, and 
      slowness. Currently, the diagnosis of PD is based on patient history and clinical 
      examination. Technology-derived decision support systems utilizing, for example, 
      sensor-rich smartphones can facilitate more accurate PD diagnosis. These 
      technologies could provide less obtrusive and more comfortable remote symptom 
      monitoring. The recent studies showed that motor symptoms of PD can reliably be 
      detected from data gathered via smartphones. The current study utilized an 
      open-access dataset named "mPower" to assess the feasibility of discriminating PD 
      from non-PD by analyzing a single self-administered 20-step walking test. From 
      this dataset, 1237 subjects (616 had PD) who were age and gender matched were 
      selected and classified into PD and non-PD categories. Linear acceleration (ACC) 
      and gyroscope (GYRO) were recorded by built-in sensors of smartphones. Walking 
      bouts were extracted by thresholding signal magnitude area of the ACC signals. 
      Features were computed from both ACC and GYRO signals and fed into a random 
      forest classifier of size 128 trees. The classifier was evaluated deploying 
      100-fold cross-validation and provided an accumulated accuracy rate of 0.7 after 
      10k validations. The results show that PD and non-PD patients can be separated 
      based on a single short-lasting self-administered walking test gathered by 
      smartphones' built-in inertial measurement units.
FAU - Mehrang, Saeed
AU  - Mehrang S
FAU - Jauhiainen, Milla
AU  - Jauhiainen M
FAU - Pietil, Julia
AU  - Pietil J
FAU - Puustinen, Juha
AU  - Puustinen J
FAU - Ruokolainen, Jari
AU  - Ruokolainen J
FAU - Nieminen, Hannu
AU  - Nieminen H
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Humans
MH  - *Parkinson Disease
MH  - *Smartphone
MH  - Software
MH  - Tremor
MH  - Walking
EDAT- 2018/11/18 06:00
MHDA- 2019/10/23 06:00
CRDT- 2018/11/17 06:00
PHST- 2018/11/17 06:00 [entrez]
PHST- 2018/11/18 06:00 [pubmed]
PHST- 2019/10/23 06:00 [medline]
AID - 10.1109/EMBC.2018.8512921 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:2913-2916. doi: 
      10.1109/EMBC.2018.8512921.