# **PSYKOSE: A Motor Activity Database of Patients with Schizophrenia** # ### [**[Preprint]**][1] [**[Paper-IEEEXplore]**][4] ### ![enter image description here][2] Objective physiological parameters collected from sensors and analyzed by machine learning techniques have gained considerable interest as a tool to support the existing subjective diagnostic practice within mental health. To perform reliable and reproducible research with such data it is important to share both data and results openly. In the medical field, sharing data is often problematic due to Privacy Policy. In this dataset, we present an anonymized dataset on motor activity, containing actigraph data collected from patients with schizophrenia. ### Folder structure and data formats ### - control - control_1.csv - control_2.csv - … - control_32.csv - Patient - patient_1.csv - patient_2.csv - … - patient_22.csv - days.csv - patients_info.csv - schizophrenia-features.csv ---------- #### **Control folder and data:** #### The activity data for the controls (32 healthy controls = 23 hospital employees + 5 nursing students + 4 healthy persons recruited from a general practitioner). A CSV file (i.e. control_1.csv) contains the actigraphy activity measurements overtime. The columns in the CSV are timestamp (one-minute intervals), date (date of measurement), activity (activity measurement from the actigraph watch). #### **Patient folder and data:** #### The data folder of actigraph data collected from 22 psychotic patients ( 3 females and 19 males) hospitalized at a long-term open psychiatric ward at Hauke-land University hospital. A CSV file (i.e. patient_1.csv) contains the actigraphy activity measurements overtime. The columns in the CSV are timestamp (one-minute intervals), date (date of measurement), activity (activity measurement from the actigraph watch). #### **Data in days.csv:** #### This file contains the number of days the patient and controls are in the study. It contains the columns id (identifier) and days (number of full days). #### **Data in patients_infor.csv:** #### This file contains the following columns: Number (patient identifier), gender (male or female), age (age of the patient), days (whole days the patient wore the actigraph), schtype (type of schizophrenia), migraine (did the patient have migraine), bprs (BPRS sum score), cloz (did the patient use Clozapine as antipsychotic medication), trad (did the patient use traditional neuroleptic or modern antipsychotic medication), moodst (did the patient use mood-stabilizing medications), agehosp (age first time hospitalized). #### **Data in schizophrenia-features.csv:** #### This contains the statistical features used for the baseline experiments. The file contains four columns: userid (patient identifier), class (class to predict binary), class_str (class name as string), f.mean (the mean), f.sd (the standard deviation), f.propZeros (proportion of zeros). ### Term of use ### The license for the Psykose dataset is Attribution-NonCommercial 4.0 International. More information can be found here: [https://creativecommons.org/licenses/by-nc/4.0/legalcode][3] ### Ethical approval ### The Norwegian Regional Medical Research Ethics Committee West approved the original study protocol, and all processes were in accordance with the Helsinki Declaration of 1975. [1]: https://osf.io/e2tzf/ [2]: https://files.osf.io/v1/resources/dgjzu/providers/osfstorage/5e57d9e5ef5d8900a406b828?mode=render [3]: https://creativecommons.org/licenses/by-nc/4.0/legalcode [4]: https://ieeexplore.ieee.org/document/9182896