Dataset & short description | Availability |
| CPDS01-ElectronicClinicalData It contains the i-PROGNOSIS SData study participants’ de-identified demographics and health related data [case report forms (CRFs) information and scores], arising from the medical evaluation of those participants, in the context of the SData study. | Will be made open |
| GDS01-TypingData It includes typing-related data, i.e., key press and release event timestamps, pressure applied for key presses, type of key feedback, long-press flags, from PD patients and healthy controls, captured in the wild, during their every day, natural typing on a virtual keyboard of a touchscreen-enabled smartphone. | Will be made open |
| GDS02-HandPostureIMU It includes recordings of triaxial acceleration from the inertial measurement unit (IMU) of a smartphone, during assumed hand postures when performing specific actions with the device, i.e., phone calls and typing. | Available on zenodo.org DOI: 10.5281/zenodo.3519213 |
| GDS03-VoiceFeatures It includes voice features collected from PD patients and healthy controls with the aim of identifying PD patients based on speech impairment. The dataset contains voice features extracted from speech data collected during users’ smartphone phone calls. | Will be made open |
| GDS04-FacialExpressionFeatures It includes facial features, extracted from self-portrait photos (‘selfies’) and collected from PD patients and healthy controls with the aim of identifying PD-associated hypomimia. The dataset contains facial landmarks extracted from front-facing camera photos, stored on users’ smartphone. | Will be made open |
| GD05-RelativeLocations It includes relative locations collected from PD patients and healthy controls with the aim of identifying PD-associated mobility issues. The dataset contains relative location coordinates (relative latitude, relative longitude, relative altitude), based on processed locations reported by location services of users’ smartphone. | Will be made open |
| GDS06-TextSentimentScores It includes numeric values denoting the emotional valence of words, contained in text (SMS) messages, collected from PD patients and healthy controls with the aim of identifying PD-associated depression. | Will be made open |
| SDS01-InMealHandIMU It was collected from PD patients and healthy controls for studying in-meal behaviour in PD. It includes recordings of triaxial acceleration and orientation from the inertial measurement unit (IMU) of a smartwatch, worn on the hand using the fork or spoon during meal consumption. | Will be made open |
| SDS02-SleepActivity It was collected from PD patients and healthy controls for studying sleep disturbances in PD. It includes recordings of triaxial acceleration and heart rate from the inertial measurement unit (IMU) and PSG sensor of a smartwatch, worn on the hand during nocturnal sleep. | Will be made open |
| SDS01-HandAtRestIMU It was collected from PD patients and healthy controls for detecting rest tremor using a wearable device. It includes recordings of triaxial acceleration and orientation from the inertial measurement unit (IMU) of a smartwatch, worn on the hand at rest. | Will be made open |
| IDS01-SeriousGamesMetrics Description coming soon | Will be made open |
| IDS02-AssessmentScores Description coming soon | Will be made open |
| DDS01-TypingDatasetLab It includes typing-related data, i.e., key press and release event timestamps and pressure applied for key presses, captured from PD patients and healthy controls, in a controlled lab environment, under a structured experiment protocol that included typing of short text excerpts on a common touchscreen smartphone and UPDRS Part III assessment. | Available on zenodo.org DOI: 10.5281/zenodo.2571623 |
| DDS02-HandPostureIMULab It includes acceleration and orientation data, captured from PD patients and healthy controls using a smartphone and a smartwatch, in a controlled lab environment, under a structured experiment protocol, which required from the participant to perform typical actions with a smartphone device. Participants were also subjected to UPDRS Part III assessment. | Will be made open |
| DDS03-VoiceSamplesLab It includes recorded voice samples from English-speaking PD patients and healthy controls, captured in a realistic acoustic environment, under a structured experiment protocol during which participants read-out-loud text passages and engaged in spontaneous conversation using a smartphone. | Available on zenodo.org DOI: 10.5281/zenodo.2867216 |
| UDS01-UserRequirementsFocusGroups It contains data gathered within focus groups during the i-PROGNOSIS requirements elicitation phase. | Will be made open |
| UDS02-UserRequirementsSurvey It contains the questions and the qualitative answers to the questions of the i-PROGNOSIS Web survey, conducted within the context of the identification of user requirements and system specifications, from ~2,000 anonymous survey participants. | Will be made open |
| UDS03-GDataUserAcceptanceSurvey It includes items of a Web survey and answers from 180 GData study participants. The survey was conducted to evaluate user acceptance concerning the i-PROGNOSIS GData-based approach for PD symptoms screening. | Will be made open |
| UDS04-SDataUserAcceptanceSurvey It includes items of a survey and answers from 39 SData study participants. The survey was conducted to evaluate user acceptance concerning the i-PROGNOSIS SData-based approach for PD symptoms screening. | Will be made open |
| UDS05-GamesUserEvaluationSurvey It includes items of a Web survey and answers from 104 key stakeholders. The survey was conducted to evaluate the i-PROGNOSIS design approach regarding the Personalised Game Suite (also referred to as iPrognosis Games) for PD symptoms management. | Will be made open |
| UDS06-GamesUserAcceptanceSurvey This dataset contains the i-PROGNOSIS Interventions study participants’ de-identified baseline characteristics and answers to a case report form (CRF), pertaining to their experience with playing the i-PROGNOSIS serious games in clinic and at home. | Will be made open |
