PMID- 37896635
OWN - NLM
STAT- MEDLINE
DCOM- 20231030
LR  - 20231030
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 23
IP  - 20
DP  - 2023 Oct 18
TI  - Can Gait Characteristics Be Represented by Physical Activity Measured with 
      Wrist-Worn Accelerometers?
LID - 10.3390/s23208542 [doi]
LID - 8542
AB  - Wearable accelerometers allow for continuous monitoring of function and behaviors 
      in the participant's naturalistic environment. Devices are typically worn in 
      different body locations depending on the concept of interest and endpoint under 
      investigation. The lumbar and wrist are commonly used locations: devices placed 
      at the lumbar region enable the derivation of spatio-temporal characteristics of 
      gait, while wrist-worn devices provide measurements of overall physical activity 
      (PA). Deploying multiple devices in clinical trial settings leads to higher 
      patient burden negatively impacting compliance and data quality and increases the 
      operational complexity of the trial. In this work, we evaluated the joint 
      information shared by features derived from the lumbar and wrist devices to 
      assess whether gait characteristics can be adequately represented by PA measured 
      with wrist-worn devices. Data collected at the Pfizer Innovation Research (PfIRe) 
      Lab were used as a real data example, which had around 7 days of continuous 
      at-home data from wrist- and lumbar-worn devices (GENEActiv) obtained from a 
      group of healthy participants. The relationship between wrist- and lumbar-derived 
      features was estimated using multiple statistical methods, including penalized 
      regression, principal component regression, partial least square regression, and 
      joint and individual variation explained (JIVE). By considering multilevel 
      models, both between- and within-subject effects were taken into account. This 
      work demonstrated that selected gait features, which are typically measured with 
      lumbar-worn devices, can be represented by PA features measured with wrist-worn 
      devices, which provides preliminary evidence to reduce the number of devices 
      needed in clinical trials and to increase patients' comfort. Moreover, the 
      statistical methods used in this work provided an analytic framework to compare 
      repeated measures collected from multiple data modalities.
FAU - Lin, Wenyi
AU  - Lin W
AUID- ORCID: 0000-0001-8767-1795
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Karahanoglu, Fikret Isik
AU  - Karahanoglu FI
AUID- ORCID: 0000-0002-9162-8367
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Psaltos, Dimitrios
AU  - Psaltos D
AUID- ORCID: 0000-0002-3347-307X
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Adamowicz, Lukas
AU  - Adamowicz L
AUID- ORCID: 0000-0001-6992-9545
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Santamaria, Mar
AU  - Santamaria M
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Cai, Xuemei
AU  - Cai X
AUID- ORCID: 0000-0001-9822-9935
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Demanuele, Charmaine
AU  - Demanuele C
AUID- ORCID: 0000-0002-7715-9920
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
FAU - Di, Junrui
AU  - Di J
AUID- ORCID: 0000-0001-6325-8090
AD  - Pfizer Inc., Cambridge, MA 02139, USA.
LA  - eng
PT  - Journal Article
DEP - 20231018
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - Humans
MH  - *Wrist
MH  - *Accelerometry
MH  - Exercise
MH  - Wrist Joint
MH  - Gait
PMC - PMC10611403
OTO - NOTNLM
OT  - accelerometry
OT  - device placement
OT  - gait
OT  - joint and individual variation explained
OT  - multilevel model
OT  - partial least square
OT  - penalized regressions
OT  - physical activity
OT  - wearable devices
COIS- All authors are employees and stockholders of Pfizer Inc.
EDAT- 2023/10/28 11:44
MHDA- 2023/10/30 06:46
PMCR- 2023/10/18
CRDT- 2023/10/28 01:28
PHST- 2023/09/10 00:00 [received]
PHST- 2023/10/11 00:00 [revised]
PHST- 2023/10/12 00:00 [accepted]
PHST- 2023/10/30 06:46 [medline]
PHST- 2023/10/28 11:44 [pubmed]
PHST- 2023/10/28 01:28 [entrez]
PHST- 2023/10/18 00:00 [pmc-release]
AID - s23208542 [pii]
AID - sensors-23-08542 [pii]
AID - 10.3390/s23208542 [doi]
PST - epublish
SO  - Sensors (Basel). 2023 Oct 18;23(20):8542. doi: 10.3390/s23208542.