Cross-cut: algo-gait-analysis

Axis: algorithms

3 corpus entries disclose this tag.

Earliest disclosure: 2012-04-20

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


Patel et al. (2012) — ‘A review of wearable sensors and systems with application in rehabilitation’ (2012-04-20)

  • 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.

Sensoria Smart Socks (2014) — pressure-sensing sock + electronic anklet for gait/running analysis (2014-01)

  • id: sensoria-smart-socks-2014
  • corpus: private
  • form factor: sock
  • creator: Sensoria Inc. (formerly Heapsylon)
  • disclosure: Sensoria Inc. ‘Sensoria Fitness Smart Socks’, announced January 2014 — running socks with three pressure-sensitive textile sensors woven into the sole (under the heel, ball of foot, and toes) and a magnetically-attached ‘Sensoria Core’ anklet (accelerometer + Bluetooth) that derives cadence, foot strike pattern (heel/mid/forefoot), foot landing zone, pace, distance, and provides real-time audio coaching.
  • ip status: patented
  • sensors: sensor-pressure-skin, sensor-piezoelectric, sensor-accelerometer
  • algorithms: algo-step-count, algo-gait-analysis, algo-activity-classification
  • prior art notes: Discloses a sock with multiple pressure-sensitive textile sensors woven into the sole, paired with a removable ankle-worn electronics module that derives cadence, foot-strike pattern, pressure distribution, and pace. Anticipates smart-sock/sole-pressure-sensing claims combining ‘a sock with one or more textile pressure sensors at multiple positions of the foot sole’ and ‘a paired electronics module deriving gait metrics’ from 2014. Product-side anchor for the sock form-factor cross-cut (the only sock entry); cf. [[nike-plus-ipod-sport-kit-2006]] (the earlier shoe/insole route).

BioIntelliSense BioSticker (2019) — long-wear adhesive chest patch with extensive multi-parameter monitoring (2019-12)

  • 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.

Public domain (CC0 1.0). The corpus IS the prior art commons.

This site uses Just the Docs, a documentation theme for Jekyll.