Actigraphy analysis project bibliography
December 2024 Pre print
Gianluigi G. Delucca. 2024. “ Chest and wrist wearables: a five month experience”
here or
here June 2022 Pre print.
Gianluigi G. Delucca. 2022. “ Motionwatch8 Wrist Activity and Light Analysis: from ambulatory recording
toward real life monitoring.” OSF Preprints. June 24. https://doi.org/10.31219/osf.io/cdqxh May 2021 Pre print.
March April 2021
Co recording of Core temperature, Wrist actigraphy and HR in order to document the winter-summer time change. From Thursday March 25 until Tuesday April 6. Unfortunately the HR recording was not good.
End of 2020.
The continous one second wrist actigraphy recording is stopped. There are now 5 years of data that are a meaningful starting point for the analysis that was planned in 2015.
July 2020 - Additional raw data of four months of continous one channel EKG and chest actigraphy in real life, as described
here and below.September 2018 - SensorDevice2018. Conference presentation on Phase 2&3
Actigraphy analysis project Log
The start of the project: 2015
This project is researching new methods for the quantitative analysis of wrist actigraphy recordings, using a MotionWatch8 system (CamNtech Ltd) on the non-dominant wrist.
The primary goal is to develop algorithms useful for monitoring lifestyle and, potentially, health-related parameters.
The context
Wrist actigraphy has been used in the past 30 years to monitor motion activity.
The actigraphy data have been accepted for the analysis of sleep of a single night, with a quantification of sleep duration and its fragmentation.
They are also used to check the presence of fluctuations in the circadian cycle, especially to highlight pathologies with shifts of falling asleep timing.
During the day it is possible to quantify exercise and (with calibration) recognize type and intensity of the exercise.
Continuous monitoring of wrist actigraphy in real life is possible and it could be a valuable tool.
Nowadays, the needed hardware is cheap and it is possible to imagine useful applications in real life, for continuous monitoring and for smart homes.
There are dozens of startups with wearable monitors based on actigraphy that use more or less the same parameters for recording and analysis of one minute epochs. And then, they make the comparison against a(nother) so called "normal" group they built for the occasion, frozen in time and space.
New models and algorithms need long term data sets and guidelines on methodological issues. It seems that both are not easily available, on and off line.
Some examples are available in partially controlled environments:
- Nearly 600 days in 2 patients
Werth, Esther, Egemen Savaskan, Vera Knoblauch, Paola Fontana Gasio, Eus J.W. van Someren, Christoph Hock, Anna Wirz-Justice. Decline in long-term circadian rest-activity cycle organization in a patient with dementia. J Geriatr Psychiatry Neurol, 2002; Vol. 15; pp. 55-59.
- 50 days and then 30 days after 5 months
Miller, Nita Lewis, Shattuck, Lawrence, G. Sleep Patterns of Young Men and Women Enrolled at the United States military Academy: Results from Year 1 of a 4-Year Longitudinal Study. Sleep, 2005; Vol. 28; No. 7; p. 837.
- One month twice a year for 4 years
Longitudinal Study of Sleep Patterns of United States Military Academy Cadets Nita Lewis Miller, Lawrence G. Shattuck, Panagiotis Matsangas Sleep. 2010 December 1; 33(12): 1623–1631.
- 6 months sea duty Nita Lewis Shattuck ; Panagiotis Matsangas A 6-Month Assessment of Sleep During Naval Deployment: A Case Study of a Commanding Officer. Aerospace medicine and human performance Vol. 86, No. 5 May 2015
Few recordings are available in free life:
- 5 months, one patient
Garbazza C, Bromundt V, Eckert A,Brunner DP, Meier F, Hackethal S and Cajochen C (2016) Non-24-Hour Sleep-Wake Disorder Revisited – A Case Study. Front. Neurol. 7:17. doi: 10.3389/fneur.2016.00017
- 4 months, 80 OSA patients and 50 controls.
Sleep remains disturbed in patients with obstructive sleep apnea treated with positive airway pressure: a three-month cohort study using continuous actigraphy Sleep Medicine, Volume 24, August 2016, Pages 24-31 Jon Tippin, Nazan Aksan, Jeffrey Dawson, Steven W. Anderson, Matthew Rizzo
- And the amazing 30 years!
ESRS 2016 Bologna
P041 Three decades of continuous motor activity recording:analysis of sleep duration
A. Borbely, T. Rusterholz and P. Achermann Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
Objectives: Motor activity recording by a wrist-worn device is a common unobtrusive method to monitor the rest-activity cycle. We present a first analysis of data that have been obtained over more than three decades.
The dataset
To answer to the need of a suitable data set, late 2015 I started one long term recording on myself. Since it is expected from physiology to find rhythms with a period long at least one year, a recording with a minimum length of two years is today the first target.
The goal
Existing analysis methodologies for wrist actigraphy describe the recorded data but do not provide any personal parameters—that is, anything that can alert or reassure the subject about their state, at least for the next day, as is the case with temperature or blood pressure measurements.
On the contrary, I believe that personal monitors require personal parameters that "age" with the subject, in their own way.
I believe that for such parameters, it is necessary to create data models and develop algorithms using artificial intelligence.
I hope that the analysis of the long-term, high-sampling data from subproject 1 will allow researchers to find at least one usable parameter. In any case, even if this research fails, the need for a one-second epoch in this field of study is rapidly growing, and such recording will be useful.
Potential analysis will depend on the duration of the recording, but also on the models that will be invented for this new type of recording. This is something that requires more than one research center and so the idea is to make the first year (Phase 2 and 3) available to the public.
Sub-project 1 - MW8 dataset
Sub-project 1 – Dataset – Phase I
That was the baseline. Six months at 1 minute epoch. Start date 17/12/2015
Sub-project 1 – Dataset – Phase II . Start of the dataset: 17/06/2016
Six months at 1 second epoch.
Sub-project 1 – Dataset – Phase III
Six months at 1 second epoch. Environnement change: ligh only wake up clock stopped. It was set at 7.00, at about 3 meters from the head.
Sub-project 1 – Dataset – Phase IV
Six months at 1 second epoch. In case of early morning (4 to 6 a.m) wake up, most of the time an eye mask is then used.
Sub-project 1 – Dataset – Phase V
Six months at 1 second epoch. It is the last Phase needed to reach the minimun of 2 years continous regording at 1 sec.
At the moment it is not known what should be a "sufficient" lenght of such a recording, since it is the first set ever recorded, I think it should go ahead as long as possible, because it will show in one subject the change over time that is expected from short recordings in groups of different ages described in literature.