Journal: Sensors (Basel, Switzerland)

Article Title: AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration

doi: 10.3390/s25196248

Figure Lengend Snippet: Modular architecture of decentralised monitoring platform. Data flow of the monitoring pipeline work as the metric data is collected from exporters and processed through Prometheus instances hosted on Raspberry Pi edge nodes. Aggregated data is forwarded to the Mimir time-series database for long-term storage and AI model training. Trained models are containerised and deployed either centrally or at the edge for inference. Predictions are exposed as Prometheus metrics and visualised in Grafana dashboards. This architecture enables hybrid edge–cloud analytics, real-time alerting, and scalable tenant isolation.

Article Snippet: VPN-based network connections securely link Raspberry Pi Prometheus nodes at client sites with Grafana and Alert Manager, completing the decentralised, secure multi-tenant monitoring system.

Techniques: Isolation

Journal: Sensors (Basel, Switzerland)

Article Title: Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review

doi: 10.3390/s21092983

Figure Lengend Snippet: Types of devices that have been described in the studies included in the present review (left column) together with their ubiquity level (second column on the left) and the number of Scheme 67 studies in the review. Note that some studies use multiple types of devices; thus, the sum of the percentages in all the different cells does not add up to one hundred.

Article Snippet: 51. Regterschot (2015) [ ] , Frailty level (Groningen Frailty Indicator) , STS transitions (transitions) , Yes/no , Philips pi-Node IMU (a) on chest (on-body) (b) on hip (on-body) , Indirect/Error (AUC).

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review

doi: 10.3390/s21092983

Figure Lengend Snippet: Number of studies (right column) describing transparent assessment of any functional variable with each ubiquitous and on-body sensor. The figures in square brackets are the citations for the corresponding studies. The figures in brackets represent the percentage with respect to all 67 studies in the review.

Article Snippet: 51. Regterschot (2015) [ ] , Frailty level (Groningen Frailty Indicator) , STS transitions (transitions) , Yes/no , Philips pi-Node IMU (a) on chest (on-body) (b) on hip (on-body) , Indirect/Error (AUC).

Techniques: Functional Assay, Activity Assay

Journal: Sensors (Basel, Switzerland)

Article Title: Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review

doi: 10.3390/s21092983

Figure Lengend Snippet: Descriptive summary of the studies.

Article Snippet: 56. Regterschot (2014) [ ] , Responsiveness (before/after intervention) , STS transitions (transitions) , Yes/no , Philips pi-Node 9DoF IMU on hip. (ubiquitous) , Direct/Error (absolute SRM).

Techniques: Functional Assay, Activity Assay, Mann-Whitney U-Test

Journal: Parkinsonism & Related Disorders

Article Title: The use of wearable/portable digital sensors in Huntington's disease: A systematic review

doi: 10.1016/j.parkreldis.2021.01.006

Figure Lengend Snippet: Summary of the included studies.

Article Snippet: Collett 2014 [ ] , Gait & Posture , 7 pHD 28 mHD , 22 , no , IMU (Pi-node Philips, Netherlands) , Taped over the fourth lumbar vertebra , 8.8 or 10 m walking , Clinic , Gait , More variability in gait parameters in mHD compared to controls; no differences between pHD and HC, except for 1 parameter of the phase plot analysis, which also correlated with UHDRS-TMS and DBS. Phase plot analysis as a sensitive method to detect gait changes in HD.

Techniques: Activity Assay, Functional Assay, Software