Cross-cut: `algo-fall-detection`

Axis: algorithms

5 corpus entries disclose this tag.

Earliest disclosure: 1998-10

Listed in chronological order. Each entry’s prior_art_notes and disclosure_citation constitute the citeable prior art material.

Williams et al. (1998) — accelerometer-based automatic fall and activity monitor for telecare (1998-10)

id: williams-1998-automatic-fall-detector
corpus: academic
form factor: belt
creator: G. Williams / K. Doughty / K. Cameron / D.A. Bradley
disclosure: Williams G, Doughty K, Cameron K, Bradley DA. ‘A smart fall and activity monitor for telecare applications.’ Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Hong Kong, 1998, pp. 1151-1154.
ip status: unknown
sensors: sensor-accelerometer, sensor-piezoelectric
algorithms: algo-fall-detection, algo-activity-classification
prior art notes: Discloses a body-worn (waist/trunk) device that automatically detects a fall from accelerometer/impact signals — distinguishing falls from normal activity — and raises a telecare alarm, without requiring the wearer to press a button. Anticipates automatic-fall-detection wearable claims combining ‘a body-worn inertial sensor’, ‘a classifier distinguishing a fall from activities of daily living’, and ‘an automatic alert on detection’. Anchor for the fall-detection cross-cut; combined with watch/pendant form-factor disclosures, makes wristworn/pendant automatic fall detection obvious under [[obviousness-template]].

id: pantelopoulos-bourbakis-2010-wearable-health-survey
corpus: academic
form factor: other
creator: Alexandros Pantelopoulos / Nikolaos G. Bourbakis
disclosure: Pantelopoulos A, Bourbakis NG. ‘A survey on wearable sensor-based systems for health monitoring and prognosis.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2010;40(1):1-12.
ip status: public-domain
sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-skin-temperature, sensor-respiration-impedance
algorithms: algo-hr, algo-arrhythmia-classification, algo-spo2-estimation, algo-fall-detection, algo-activity-classification
prior art notes: Surveys, as of 2010, the architecture and components of wearable health-monitoring systems — sensors (ECG, PPG, SpO2, accelerometry, temperature, respiration), garment- and patch- and watch-based form factors, on-body processing, wireless body-area networking, and the analytics (arrhythmia, fall, activity, deterioration prediction). Prior art establishing that the general ‘multi-sensor wearable + body-area network + cloud analytics’ system architecture and its building blocks were collected and published by 2010 — useful against later claims to the bare system architecture. General anchor.

id: patel-bonato-2012-wearable-sensors-rehab-review
corpus: academic
form factor: other
creator: Shyamal Patel / Hyung Park / Paolo Bonato et al.
disclosure: Patel S, Park H, Bonato P, Chan L, Rodgers M. ‘A review of wearable sensors and systems with application in rehabilitation.’ Journal of NeuroEngineering and Rehabilitation 2012;9:21.
ip status: public-domain
sensors: sensor-accelerometer, sensor-gyroscope, sensor-emg, sensor-ecg, sensor-ppg, sensor-pressure-skin
algorithms: algo-gait-analysis, algo-activity-classification, algo-fall-detection, algo-tremor-detection, algo-bradykinesia-detection, algo-posture-detection
prior art notes: Reviews, as of 2012, wearable inertial/EMG/pressure sensor systems for movement and physiological monitoring in rehabilitation and chronic-disease management — gait analysis, activity and posture classification, fall detection, tremor and bradykinesia quantification (Parkinson’s), with the sensor placements (foot/insole, shank, thigh, trunk, wrist, forearm) and algorithms. Prior art for wearable movement-disorder and gait-monitoring claims reciting any of the placements/analytics surveyed; collected and published by 2012. General anchor for the gait / tremor / activity cross-cuts.

id: vitalconnect-vitalpatch-2016
corpus: private
form factor: patch
creator: VitalConnect, Inc.
disclosure: VitalConnect, Inc. ‘VitalPatch’ biosensor, FDA-cleared as a single-use adhesive chest patch with single-lead ECG, heart rate, heart-rate variability, respiratory rate, skin temperature, posture, activity, and fall detection, streamed wirelessly to a smartphone/relay; 7-day wear (later 14-day variants).
ip status: patented
sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature
algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-arrhythmia-classification
prior art notes: Discloses a single-use adhesive chest patch deriving single-lead ECG, HR, HRV, respiratory rate, skin temperature, posture, activity, and falls in one body-worn unit, streamed wirelessly — i.e. a packed multi-parameter vital-signs patch. Anticipates multi-parameter ECG-patch claims combining any subset of those measurements in one adhesive form factor from 2016. Product-side anchor for the patch × multi-parameter-vitals cross-cut alongside [[fda-k113862-irhythm-zio-patch-2011]] (the AFib-focused variant).

id: biointellisense-biosticker-2019
corpus: private
form factor: patch
creator: BioIntelliSense, Inc.
disclosure: BioIntelliSense, Inc. ‘BioSticker’ single-use adhesive medical-grade biosensor, FDA-cleared 2019 — a chest patch with up to 30-day wear continuously measuring skin temperature, single-lead ECG-derived heart rate at rest, respiratory rate at rest, body position, activity (steps, cadence, gait), sleep, cough, vomiting events, and falls, with wireless upload.
ip status: patented
sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature, sensor-microphone-air
algorithms: algo-hr, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-cough-detection, algo-gait-analysis, algo-sleep-staging
prior art notes: Discloses a single-use 30-day adhesive chest patch combining skin temperature, resting HR-from-ECG, resting RR, posture/activity, sleep, cough and vomiting event detection, and falls — i.e. an unusually broad multi-parameter long-wear patch with explicit event-detection (cough, vomit) classifiers. Anticipates long-wear multi-parameter patch claims from 2019, including the event-detection (cough/vomit) elements that some later patents recite. Product-side anchor for the patch × long-wear multi-parameter cross-cut.