Rodríguez-Martín et al., 2017 - Google Patents
Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometerRodríguez-Martín et al., 2017
View HTML- Document ID
- 7544144351270595081
- Author
- Rodríguez-Martín D
- Samà A
- Pérez-López C
- Català A
- Moreno Arostegui J
- Cabestany J
- Bayés �
- Alcaine S
- Mestre B
- Prats A
- Crespo M
- Counihan T
- Browne P
- Quinlan L
- ÓLaighin G
- Sweeney D
- Lewy H
- Azuri J
- Vainstein G
- Annicchiarico R
- Costa A
- Rodríguez-Molinero A
- Publication year
- Publication venue
- PloS one
External Links
Snippet
Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, which may not accurately map the …
- 238000001514 detection method 0 title abstract description 32
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7232—Signal processing specially adapted for physiological signals or for diagnostic purposes involving compression of the physiological signal, e.g. to extend the signal recording period
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00006—Acquiring or recognising fingerprints or palmprints
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rodríguez-Martín et al. | Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer | |
Rodriguez-León et al. | Mobile and wearable technology for the monitoring of diabetes-related parameters: Systematic review | |
Vijayan et al. | Review of wearable devices and data collection considerations for connected health | |
Anikwe et al. | Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect | |
Perez-Pozuelo et al. | The future of sleep health: a data-driven revolution in sleep science and medicine | |
Rodgers et al. | Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities | |
Chandrabhatla et al. | Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms | |
Abd-Alrazaq et al. | Wearable artificial intelligence for anxiety and depression: scoping review | |
US20200267936A1 (en) | Pet monitoring | |
Naranjo-Hernández et al. | Sensor technologies to manage the physiological traits of chronic pain: a review | |
Sow et al. | Mining of sensor data in healthcare: A survey | |
Zhang et al. | Pdmove: Towards passive medication adherence monitoring of parkinson's disease using smartphone-based gait assessment | |
Ganea et al. | Gait assessment in children with duchenne muscular dystrophy during long-distance walking | |
Javed et al. | Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions | |
Vos et al. | Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices | |
Harris et al. | Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies | |
Tiwari et al. | A shrewd artificial neural network-based hybrid model for pervasive stress detection of students using galvanic skin response and electrocardiogram signals | |
David et al. | Quantification of the relative arm use in patients with hemiparesis using inertial measurement units | |
Zhang et al. | Towards early detection and burden estimation of atrial fibrillation in an ambulatory free-living environment | |
Zhao et al. | Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review | |
CA3175840A1 (en) | System and methods utilizing artificial intelligence algorithms to analyze wearable activity tracker data | |
Chu et al. | Wearable step counting using a force myography-based ankle strap | |
Tamantini et al. | A classification method for workers’ physical risk | |
Sani et al. | Review on hypertension diagnosis using expert system and wearable devices | |
Cho et al. | Roles of artificial intelligence in wellness, healthy living, and healthy status sensing |